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Operator Sr Agent Architect (Germany) at Parloa

Design and deploy enterprise AI agent architectures, integrate with customer systems, and optimize conversational AI performance using prompt engineering and LLM knowledge.

Senior Remote Posted about 6 hours ago RemoteFirstJobs Product
What this role involves

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role

As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa’s platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients.

You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior. Architecture and integration depth are the core of this role. Conversational design skills are valued and can be developed on the job.

Areas of ownership

  • Design end-to-end solution architectures for AI Agent deployments, mapping how Parloa’s platform integrates into customers’ enterprise systems (CRMs, ERPs, ticketing systems, contact center platforms).
  • Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex, multi-system data flows.
  • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
  • Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions.
  • Identify and resolve blockers together with other departments at Parloa (e.g., Product, Solution Engineering, Sales) and the customer.
  • Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners.
  • Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior.
  • Translate complex customer workflows into structured conversational components that LLMs can execute reliably.
  • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
  • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are

  • 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration.
  • Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources.
  • Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms, ticketing systems).
  • Proficiency in REST API design, JSON/XML data structures, API testing tools (e.g., Postman), and API authentication patterns (OAuth, API keys, JWT).
  • Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic.
  • Analytical and critical thinker with expertise in risk assessment and problem-solving.
  • Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication.
  • Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact.
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to subtle conversational nuance and A/B testing to assess agent performance.
  • Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience is a plus, not a requirement - we will train this.
  • Excellent written and spoken German and English skills are required.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Read the full description
Operator Operations Engineer at MUI

Build automated internal tools, data models, and AI-driven workflows across Finance, GTM, People, and Product to eliminate manual operational bottlenecks.

Senior Remote Posted about 7 hours ago RemoteFirstJobs Product
What this role involves

Details of the role

  • Location: Remote (preference for UTC-6 to UTC+5).

  • Type of work: Full-time (contractor or employee depending on circumstances).

  • Level: IC4 Senior and above.

  • We’re a remote company, operating mostly asynchronously.

The company

MUI’s story began in 2014 with Material UI, the most successful React implementation of Google’s Material Design. This open-source project has paved the way for the fully-fledged startup known as MUI (founded in 2019), which now boasts an ever-expanding ecosystem of React UI products. We’re a company of 40 people as of 2026, and we’re growing steadily.

The products

MUI is best known for our flagship product, Material UI—but this is just one of the UI libraries we maintain. Material UI is complemented by advanced components through MUI X (Data Grid, Charts, Date and Time Pickers, Tree View) for more complex user interactions and data visualization needs. Base UI is our headless component library. We also host Design Kits and pre-built Templates.

The culture

MUI is a fully remote company with a team that spans the globe. The majority of our work is asynchronous, and we rely on written communication to collaborate. We’re radically transparent: a lot of our work happens in public. Each contributor has the freedom to decide how and when they work, and that work is primarily self-directed: it’s your responsibility to define and complete your own tasks in a timely manner.

For additional details about the culture, you can check our careers and about pages and also our public Handbook.

Why we’re hiring

MUI is scaling, but traditional business operations have become a strong bottleneck to our growth. The leadership team is spending too much time on manual, repetitive tasks, building spreadsheets, debugging ETL regressions, wiring SaaS tools together, firefighting operational issues, etc.

Rather than hiring a conventional IT team, we treat internal company operations as an engineering problem. We believe that applying systems thinking, modern software engineering, and AI automation directly to business operations will create immense leverage.

We are opening this role to act as a hands-on force multiplier across the organization—building zero-defect data models, automated internal tools, and AI-driven workflows across Finance, GTM (RevOps, Sales, Marketing), People, and Product.

Overall, both our open-source community and our premium products are growing fast. We need talented people to keep up with the demands of our exigent community!

Why this is interesting

  • Function as a modern hands-on CIO / Head of business systems: Instead of managing large corporate budgets or enterprise governance, you will directly apply software engineering (TypeScript, SQL, AI frameworks) to real-world business systems.

  • Massive organizational leverage: You will step into cross-functional gaps to eliminate operational bottlenecks, saving hundreds of hours of leadership time and accelerating company velocity.

  • High-agency autonomy: Operating without a rigid backlog, you will systematically map MUI’s cross-functional workflows using Lean principles, identify high-leverage opportunities, and build end-to-end technical solutions.

  • AI-first execution: You will be at the forefront of implementing AI agents, LLM tool integrations, and low-code orchestration engines to automate routine business tasks across every department.

Our products empower React developers to build awesome applications faster – we see millions of developers on MUI’s docs every year, one million a month.

The role

Key responsibilities

Depending on the day, you’ll:

  • Internal systems architecture & management (Modern IT/CIO): Own, maintain, and connect the company’s internal software stack—from CRM, billing, and Accounting platforms to internal databases and analytics dashboards.

  • AI & workflow automation engine: Identify, prototype, and build custom scripts (SQL, JavaScript), AI agents, low-code integrations (for example, Zapier, Make), etc. to eliminate manual tasks across People, Finance, Sales, Marketing, Product, and Operations.

  • GTM & RevOps technical execution: Partner with Sales and Marketing to streamline lead pipelines, customer data enrichment, conversion funnels, and customer-facing website updates.

  • Data Engineering & Operational analytics: Build and maintain data pipelines, operational dashboards, and data models to power strategic decision-making (for example, pricing model LTV analysis, product adoption telemetry, sales PO volumes, npm/GitHub ecosystem metrics, or OKRs progress).

  • Process engineering & Systems optimization: Apply the five core Lean principles and systems analysis to map company workflows, identify operational or financial bottlenecks, and build technological solutions to resolve them.

  • Technical force multiplier for Leadership: Serve as a direct execution arm for executive leadership—stepping in to resolve unowned, cross-cutting technical issues across products, vendor platforms, or internal operations.

Who we’re looking for

Required

  • High-agency & Cross-functional judgment: Self-directed problem solver who thrives in ambiguity and can prioritize among many opportunities. See Manager of one.

  • High conscientiousness & Detail rigor: Strong commitment to eventually reach no-defect execution; double-checks everything, maintains immaculate documentation, focuses on friction-free user experiences.

  • Modern business Tech Stack management (CIO/RevOps): Technical mastery over core SaaS ecosystems (Salesforce/HubSpot, Stripe, NetSuite/Xero, Segment, GitHub/npm APIs).

  • Full-Stack engineering: Proficiency in TypeScript and SQL; can quickly build internal tools, scripts, and API integrations.

  • Systems & Process engineering (Lean/Systems thinking): Ability to map cross-functional workflows, spot operational bottlenecks, and apply Lean principles to eliminate non-value-added steps.

  • Data engineering & Analytics architecture: Track record of designing reliable data pipelines, maintaining zero-defect data models, and delivering actionable BI dashboards (Revenue, LTV, PLG telemetry). For example, ensures data & financial models match to the cent.

  • Workflow automation & AI agents: Hands-on experience with modern AI workflows (LLM APIs, agentic frameworks, function calling) alongside low-code orchestration engines (for example, Pipedream, Make, Zapier, n8n).

  • 4+ years of professional software engineering experience, with at least 2+ years spent building internal tools, data pipelines, or cross-functional business automation.

Nice to have (but not required)

  • Prior experience as an early-stage startup founder, Technical Operations Lead, GTM Engineer, Finance Ops Engineer, or Principal Engineer with cross-functional scope.

  • Experience with React, Next.js, and MUI’s tool ecosystem.

  • Deep familiarity with open-source ecosystems, developer tools, or PLG (Product-Led Growth) telemetry metrics.

  • Background in applying Lean principles within knowledge work or software development contexts.

Benefits and compensation

We offer competitive compensation commensurate with your experience level and location and are prepared to pay top market rates for someone who can clearly exceed the role’s expectations. You can find the other perks and benefits on the careers page.

Don’t meet every requirement? Apply anyway! Research shows that certain folks are less likely to apply for a role than others unless they meet 100% of the outlined qualifications. If this role excites you, we want to hear from you. We’d love for you to share the unique skills, passion, and experience you could bring to MUI.

Read the full description
Operator Operations Engineer at MUI

Build automated internal tools, AI-driven workflows, and data models to streamline Finance, GTM, People, and Product operations across the organization.

Senior Remote Posted about 7 hours ago RemoteFirstJobs Product
What this role involves

Details of the role

  • Location: Remote (preference for UTC-6 to UTC+5).

  • Type of work: Full-time (contractor or employee depending on circumstances).

  • Level: IC4 Senior and above.

  • We’re a remote company, operating mostly asynchronously.

The company

MUI’s story began in 2014 with Material UI, the most successful React implementation of Google’s Material Design. This open-source project has paved the way for the fully-fledged startup known as MUI (founded in 2019), which now boasts an ever-expanding ecosystem of React UI products. We’re a company of 40 people as of 2026, and we’re growing steadily.

The products

MUI is best known for our flagship product, Material UI—but this is just one of the UI libraries we maintain. Material UI is complemented by advanced components through MUI X (Data Grid, Charts, Date and Time Pickers, Tree View) for more complex user interactions and data visualization needs. Base UI is our headless component library. We also host Design Kits and pre-built Templates.

The culture

MUI is a fully remote company with a team that spans the globe. The majority of our work is asynchronous, and we rely on written communication to collaborate. We’re radically transparent: a lot of our work happens in public. Each contributor has the freedom to decide how and when they work, and that work is primarily self-directed: it’s your responsibility to define and complete your own tasks in a timely manner.

For additional details about the culture, you can check our careers and about pages and also our public Handbook.

Why we’re hiring

MUI is scaling, but traditional business operations have become a strong bottleneck to our growth. The leadership team is spending too much time on manual, repetitive tasks, building spreadsheets, debugging ETL regressions, wiring SaaS tools together, firefighting operational issues, etc.

Rather than hiring a conventional IT team, we treat internal company operations as an engineering problem. We believe that applying systems thinking, modern software engineering, and AI automation directly to business operations will create immense leverage.

We are opening this role to act as a hands-on force multiplier across the organization—building zero-defect data models, automated internal tools, and AI-driven workflows across Finance, GTM (RevOps, Sales, Marketing), People, and Product.

Overall, both our open-source community and our premium products are growing fast. We need talented people to keep up with the demands of our exigent community!

Why this is interesting

  • Function as a modern hands-on CIO / Head of business systems: Instead of managing large corporate budgets or enterprise governance, you will directly apply software engineering (TypeScript, SQL, AI frameworks) to real-world business systems.

  • Massive organizational leverage: You will step into cross-functional gaps to eliminate operational bottlenecks, saving hundreds of hours of leadership time and accelerating company velocity.

  • High-agency autonomy: Operating without a rigid backlog, you will systematically map MUI’s cross-functional workflows using Lean principles, identify high-leverage opportunities, and build end-to-end technical solutions.

  • AI-first execution: You will be at the forefront of implementing AI agents, LLM tool integrations, and low-code orchestration engines to automate routine business tasks across every department.

Our products empower React developers to build awesome applications faster – we see millions of developers on MUI’s docs every year, one million a month.

The role

Key responsibilities

Depending on the day, you’ll:

  • Internal systems architecture & management (Modern IT/CIO): Own, maintain, and connect the company’s internal software stack—from CRM, billing, and Accounting platforms to internal databases and analytics dashboards.

  • AI & workflow automation engine: Identify, prototype, and build custom scripts (SQL, JavaScript), AI agents, low-code integrations (for example, Zapier, Make), etc. to eliminate manual tasks across People, Finance, Sales, Marketing, Product, and Operations.

  • GTM & RevOps technical execution: Partner with Sales and Marketing to streamline lead pipelines, customer data enrichment, conversion funnels, and customer-facing website updates.

  • Data Engineering & Operational analytics: Build and maintain data pipelines, operational dashboards, and data models to power strategic decision-making (for example, pricing model LTV analysis, product adoption telemetry, sales PO volumes, npm/GitHub ecosystem metrics, or OKRs progress).

  • Process engineering & Systems optimization: Apply the five core Lean principles and systems analysis to map company workflows, identify operational or financial bottlenecks, and build technological solutions to resolve them.

  • Technical force multiplier for Leadership: Serve as a direct execution arm for executive leadership—stepping in to resolve unowned, cross-cutting technical issues across products, vendor platforms, or internal operations.

Who we’re looking for

Required

  • High-agency & Cross-functional judgment: Self-directed problem solver who thrives in ambiguity and can prioritize among many opportunities. See Manager of one.

  • High conscientiousness & Detail rigor: Strong commitment to eventually reach no-defect execution; double-checks everything, maintains immaculate documentation, focuses on friction-free user experiences.

  • Modern business Tech Stack management (CIO/RevOps): Technical mastery over core SaaS ecosystems (Salesforce/HubSpot, Stripe, NetSuite/Xero, Segment, GitHub/npm APIs).

  • Full-Stack engineering: Proficiency in TypeScript and SQL; can quickly build internal tools, scripts, and API integrations.

  • Systems & Process engineering (Lean/Systems thinking): Ability to map cross-functional workflows, spot operational bottlenecks, and apply Lean principles to eliminate non-value-added steps.

  • Data engineering & Analytics architecture: Track record of designing reliable data pipelines, maintaining zero-defect data models, and delivering actionable BI dashboards (Revenue, LTV, PLG telemetry). For example, ensures data & financial models match to the cent.

  • Workflow automation & AI agents: Hands-on experience with modern AI workflows (LLM APIs, agentic frameworks, function calling) alongside low-code orchestration engines (for example, Pipedream, Make, Zapier, n8n).

  • 4+ years of professional software engineering experience, with at least 2+ years spent building internal tools, data pipelines, or cross-functional business automation.

Nice to have (but not required)

  • Prior experience as an early-stage startup founder, Technical Operations Lead, GTM Engineer, Finance Ops Engineer, or Principal Engineer with cross-functional scope.

  • Experience with React, Next.js, and MUI’s tool ecosystem.

  • Deep familiarity with open-source ecosystems, developer tools, or PLG (Product-Led Growth) telemetry metrics.

  • Background in applying Lean principles within knowledge work or software development contexts.

Benefits and compensation

We offer competitive compensation commensurate with your experience level and location and are prepared to pay top market rates for someone who can clearly exceed the role’s expectations. You can find the other perks and benefits on the careers page.

Don’t meet every requirement? Apply anyway! Research shows that certain folks are less likely to apply for a role than others unless they meet 100% of the outlined qualifications. If this role excites you, we want to hear from you. We’d love for you to share the unique skills, passion, and experience you could bring to MUI.

Read the full description
Operator Specialist Solutions Architect – AI/ML

Serves as technical ML/AI expert for customers and field teams, architecting and implementing AI/ML solutions on the Databricks platform.

Senior Posted about 7 hours ago Jobicy AI
What this role involves
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work...
Read the full description
Operator Project Lion – Lead Prompt Engineer – United States (Remote, Part-Time)

Leads a team managing technical migration of templates to LLM autoraters and prompt engineering workflows.

Lead Remote Posted about 13 hours ago Jobicy AI
What this role involves
We are looking for an experienced Lead Prompt Engineer to guide and manage a team through the full technical migration process, transitioning templates to LLM autoraters. In this role, you...
Read the full description
Operator Specialist Solutions Architect – AI/ML

Acts as technical ML/AI expert advising customers and field engineers on Databricks implementations and AI/ML solutions.

Senior Posted about 13 hours ago Jobicy AI
What this role involves
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work...
Read the full description
Operator CX AI & Automation Lead

Leads customer experience strategy through AI tools and automation, implementing AI solutions to optimize support workflows and operations.

Lead Remote Posted 2 days ago Jobicy AI
What this role involves
About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage...
Read the full description
Operator A.I. Engineering Intern at Sezzle

AI Engineering Intern designs AI systems, generates training data, writes SQL queries, and collaborates with engineers and analysts to build foundational AI systems.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

Read the full description
Operator A.I. Engineering Intern at Sezzle

AI engineering intern designs and builds foundational AI systems, generates training data, writes SQL queries, and collaborates with engineers and data analysts.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

Read the full description
Operator Senior/Staff FDE - Synthetic Data Generation at Snorkel AI

Leads technical delivery of synthetic data generation solutions for enterprise AI projects, designing pipelines and experiments to improve model training and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

  • Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
  • Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
  • Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
  • Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
  • Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
  • Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
  • Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
  • Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
  • Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
  • Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
  • Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
  • Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
  • Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
  • Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
  • Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

  • Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
  • Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
  • Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator Senior/Staff FDE - CUA at Snorkel AI

Senior engineer designs task environments, datasets, and evaluation frameworks for computer-use agents deployed at enterprise customers, from discovery through production delivery.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator A.I. Engineering Intern at Sezzle

Design and build foundational AI systems, generate training data, write SQL queries, and collaborate with engineers and analysts to develop effective AI solutions.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

Read the full description
Operator AI Agent Engineer (Skills & Prompts) at Pixalate

Builds and maintains system prompts, agent skills, and evaluation frameworks for production AI agents serving real customer problems.

Mid Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

AI Agent Engineer (Skills & Prompts)

Employment Type: Full-Time

Location: Remote, Pakistan

The Role

Pixalate runs AI agents in production against real customer problems: agents that investigate invalid traffic (IVT) for clients, and analytics agents that let customers ask questions of our data directly. These agents are only as good as the instructions and skills behind them.

As an AI Agent Engineer you own that layer. You will write and maintain the system prompts and the agent skills that decide how our agents behave: what they know, which tools they reach for, when they push back, and, critically, when they stop and ask the user a clarifying question instead of guessing. This is engineering work, not prompt tinkering. You will version your changes, measure them against evaluations, and be accountable for agent behaviour in front of real customers. You will work directly with the team building the IQ Agent and Analytics MCP, the client IVT investigator agents, and the MRT MCP.

What You’ll Do

Build and Own Agent Skills

  • Author and maintain Claude skills and plugins that define agent capabilities and behaviour
  • Design agents that ask clarifying questions and gather requirements interactively, rather than answering one-shot from incomplete information
  • Decide what belongs in a skill, what belongs in a system prompt, and what belongs in a tool
  • Maintain the skill library as products evolve, treating it as a living surface rather than a one-time build

System Prompts for Production Agents

  • Own the system prompts behind Pixalate’s client-facing agents: IVT investigator agents, IQ Agent / Analytics MCP, and MRT MCP
  • Version prompts and skills deliberately, with a clear record of what changed and why
  • Debug real agent failures: wrong tool selection, hallucinated findings, missed clarifying questions, context exhaustion

Evaluation and Measurement

  • Define what “correct” means for each agent and build evaluation suites that test it
  • Build ground-truth datasets from real customer scenarios and measure changes against them
  • Catch regressions before customers do

Context and Tool Design

  • Engineer context strategies: what the agent sees, in what order, within what budget
  • Work with engineering on MCP tool surfaces: which tools exist, how they are described, and how those descriptions drive correct selection
  • Tune for cost and latency as well as accuracy

Safety and Trust

  • Guard against prompt injection, data leakage, and unsafe tool use in customer-facing agents
  • Ensure agents represent Pixalate’s findings accurately and do not overstate confidence

What We’re Looking For

  • Demonstrable experience building LLM agents that shipped to real users, not prototypes or demos
  • Hands-on work with agent skills, plugins, system prompts, or equivalent agent-behaviour tooling
  • Evidence of evaluation discipline: you can describe an eval suite you built, the ground truth behind it, and a regression it caught. This is the single most important qualification.
  • Strong written English. This role is writing, and the writing is the product.
  • Working proficiency in Python or TypeScript, and comfort reading the codebase your agents run in
  • Understanding of tool-calling / function-calling and how agents select tools
  • Awareness of prompt injection, PII handling, and the failure modes of customer-facing AI
  • Comfortable with some U.S. timezone overlap for team meetings
  • Ad-tech, digital advertising, or fraud-detection exposure is strongly preferred: programmatic, DSPs, SSPs, CTV, or IVT and ad fraud concepts. If you do not have it, you must be prepared to learn the domain deeply in your first 90 days, because agent quality depends on it.
  • Experience with MCP (Model Context Protocol) servers or similar tool-integration standards is a plus
  • Experience with observability and tracing for LLM systems is a plus
  • Experience with retrieval systems and their failure modes is a plus
  • Data analysis background, including SQL and working with large datasets, is a plus

About us

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

We’re seeking an AI Agent Engineer to help build and maintain the production agent systems that directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

  • UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
  • Gizmodo : An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
  • Adweek : A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
  • Washington Post : Your kids’ apps are spying on them
  • Pro Publica : Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
  • ABC7 News : The State of Children’s Privacy Online
  • NBC News : How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.

Our Culture

We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don’t mean much - you attain respect by producing results. Everyone’s a data addict and analytical thinker who thrives on collaboration.

What We Offer

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you’re passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you’ll fit right in.

  • A Competitive Compensation Package
  • Monthly Internet Reimbursement
  • Casual, Remote Work Environment
  • Flexible Hours
  • Opportunity for Advancement and Professional Development
  • Fun Annual Team Events
  • Being part of a high-performing global team that wants to win and have fun doing it
Read the full description
Operator A.I. Engineering Intern at Sezzle

AI Engineering Intern designs AI systems, generates training data, writes SQL queries, and collaborates with engineers and analysts to build foundational AI infrastructure.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

Read the full description
Operator A.I. Engineering Intern at Sezzle

AI Engineering Intern designs and builds foundational AI systems, generates training data, writes SQL queries, and collaborates with engineers and analysts on AI-powered fintech solutions.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

Read the full description
Operator A.I. Engineering Intern at Sezzle

AI Engineering Intern designs AI systems, generates training data, writes SQL queries, and collaborates with engineers and analysts to build foundational AI infrastructure.

Junior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

  • Design A.I. systems from the ground up
  • Generate reliable and accurate training data for our A.I. systems
  • Collaborate closely with engineers, data analysts, and business end users to build effective systems
  • Write accurate and efficient SQL queries

What We Look For:

  • Proficiency in SQL and Python
  • Solid understanding of data analysis and database structures
  • Currently enrolled in a postsecondary institution studying MIS, Business
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
  • Analytics/Data Analytics, Computer

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

  • Application submitted (you are here)
  • Wonderlic test (30-40 min)
  • SQL and Python Questions (30 minutes)
  • Interview with recruiters (30 min)
  • Interview with engineers (1 hour)
  • Interview with engineering leadership (30-45 min)
  • Offer!

Sezzle’s Technology Stack:

  • Languages: Golang, Typescript, Python
  • Frontend: Typescript - React and React Native
  • Backend: Golang
  • Database: MySQL, Postgres, Elasticsearch
  • DevOps & Cloud: AWS, Kubernetes
  • Version Control: Git
  • CI/CD: Gitlab
  • Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
  • Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

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Operator Senior/Staff FDE - Synthetic Data Generation at Snorkel AI

Leads technical execution of synthetic data generation projects for enterprise AI customers, designing pipelines and running experiments to improve model training and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

  • Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
  • Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
  • Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
  • Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
  • Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
  • Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
  • Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
  • Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
  • Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
  • Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
  • Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
  • Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
  • Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
  • Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
  • Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

  • Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
  • Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
  • Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Operator Senior/Staff FDE - CUA at Snorkel AI

Leads technical execution of customer engagements with computer-use agents, designing task environments, datasets, and evaluation frameworks to improve agent reliability and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Operator Solution Consultant France & Belgium (f/m/d) - Hybrid / Remote at PriceHubble

Solution Consultant configures and integrates real estate valuation platform solutions for clients, combining technical consulting with hands-on API/automation workflow delivery.

Mid Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

As Solution Consultant, you will be the technical partner of our account executives in France and Belgium. You are the person who translates client needs into concrete solutions built on top of the PriceHubble platform, then delivers them end-to-end.

The role combines:

  • Client-facing consulting and solution design (approx. 50%): working alongside account executives to understand client needs, demo the product, scope custom solutions, and communicate clearly with non-technical stakeholders
  • Hands-on solution delivery (approx. 50%): configuring, building, and integrating the solutions you scoped, using our stack of APIs, internal and external no-code tools, and automation platforms

Unlike our enterprise track, where a Solution Consultant works in a trinome with an account executive and a dedicated project manager, this role means owning your own project management. You are your own captain: you scope, you build, you deliver, you communicate.

Customer-facing solution design

  • Support account executives during discovery and demo calls: explain technical concepts in an accessible way to non-technical audiences
  • Analyse business requirements and translate them into structured technical solutions
  • Present, defend, and iterate on solutions with clients across French and Belgian markets
  • Bring an eye for detail and quality to everything client-facing: microsites, branded pages, reports, communication assets

Hands-on solution delivery

  • With Designer support, configure and adapt PriceHubble solutions (property valuation portals, lead engines, ownership dashboards) to client branding and specific needs, using our internal no-code tool Page Builder
  • Build API integrations between PriceHubble services and client systems (CRM, forms, portals)
  • Wire automation workflows using tools such as n8n or ActivePieces (webhooks, lead routing, notifications, engagement triggers)
  • Structure data flows, dossiers, and custom records within the PriceHubble platform
  • Test, iterate, and ship: your work goes live to real end users, and you own its quality

Project ownership

  • Own project scope, timeline, and delivery for the accounts you support - you are your own project manager

  • Coordinate with internal teams (product, engineering, design) to deliver on time and to standard

  • Ensure scalability, maintainability, and GDPR compliance across your builds

  • Handover finished projects to customer success cleanly, with documentation

  • 2-3 years of experience in a Solution Consultant, Technical Project Manager, Sales Engineer, Technical Account Manager, or similar client-facing technical role

  • You’re equally comfortable in French and English, close to native level in both. This isn’t a nice-to-have: you’ll be switching between the two every day

  • Comfortable presenting to clients and explaining technical topics to non-technical stakeholders in a clear and confident way

  • Basic to intermediate technical foundation: you can read API documentation, understand JSON, work with structured data objects, and follow how systems talk to each other

  • Exposure to no-code or low-code tools (any of: Bubble, Webflow, Airtable, Notion, Zapier, Make, n8n, ActivePieces, Retool)

  • An eye for design, quality, and detail: pixel-perfect matters when you build the customer-facing pages

  • Organised, reliable, and comfortable owning your own project management without a dedicated PM

  • Well-presented and professional in client-facing settings

Preferred

  • Experience with automation platforms (n8n, ActivePieces, Zapier, Make)

  • Exposure to AI or LLM-powered workflows (autonomous agents, MCP, voice agents)

  • Familiarity with CRM systems (Salesforce, HubSpot) and how to integrate with them

  • Understanding of JSON, REST APIs, webhooks, OAuth, and basic HTTP concepts

  • Experience in SaaS, proptech, fintech, real estate, or data platforms

  • A personal side project or portfolio showing you are a builder

  • A CDI and a role with real ownership: you own your accounts, your projects, and your outcomes

  • Exposure to modern data platforms, AI-driven workflows, and automation technologies

  • Close collaboration with product, engineering, design, and commercial teams across Europe

  • An international, fast-growing SaaS environment where you can learn quickly and grow into more senior technical or PM role and professional development opportunities

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Operator Senior IT Systems Engineer, IT Innovation at Spring Health

Designs and builds complex business-critical automations and integrations across systems, including AI-powered workflows, to eliminate manual processes company-wide.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health’s IT Innovations team builds the automations and integrations that let every team here move faster and stay focused on removing barriers to mental healthcare. We connect our business systems and look for the manual, repetitive work across the company so we can engineer it away. As a Senior IT Systems Engineer, you will take on the most complex of that work — where requirements are ambiguous, systems are interdependent, and the right approach is not yet obvious — turning manual processes into reliable automations, and turning what you learn into the patterns the rest of the team builds from.

The toolkit keeps evolving, and AI and agent-based approaches are an increasing part of it. What stays constant is the judgment to choose an approach when there is no precedent, the care to build automations others can rely on and troubleshoot without you, and the ability to move partners toward a sound technical decision. You will work as a technical peer with teams across the company, cultivate the vendor relationships that give us leverage, and help the engineers around you grow.

This is a full-time individual contributor role reporting to the Director, IT System Engineering, and it is fully remote within the United States.

What You’ll Do

  • Design and deliver the complex, business-critical automations and integrations that connect Spring Health’s core systems, including AI-powered and agentic workflows that call our automations as tools and run inside our governance guardrails.
  • Choose the technical approach where no established pattern exists, document it so the team can repeat it, and bring recommendations that carry options, risks, and tradeoffs.
  • Look past the request to the structural cause — a brittle integration, a workflow gap, an unclear data contract — and fix the cause, not the instance.
  • Develop the reusable patterns, shared components, and agent building blocks — tool definitions, permission scopes, fallback paths — that other engineers build from, and drive adoption across IT.
  • Guide how technical principles are applied — how integrations authenticate, how errors are handled, what an agent may act on without human approval, how work is tested — and help shape new standards with Security and Compliance.
  • Own monitoring, alerting, and incident response for production automations and agents, and lead the investigation when something breaks.
  • Serve as the escalation point for IT Systems Engineers and the last escalation inside IT Innovations, reducing that volume over time through root-cause fixes, added automation, and better tooling.
  • Work as a technical peer on integration design across the company and build durable relationships with partners outside your own area of expertise, shaping approaches together rather than handing requirements over.
  • Cultivate relationships with the vendors and platform partners whose roadmaps affect our work, and bring what you learn back to the team.
  • Support the growth of IT Systems Engineers through design review and pairing, and help colleagues across the organization build orchestration and AI agent building fluency through training and shared documentation.

What Success Looks Like in This Role

  • You deliver the team’s highest-complexity automation and integration projects each quarter, against committed scope and date.
  • Production automations you own sustain a defined successful run rate (for example, 99% or better), with mean time to resolution trending down.
  • The patterns and components you author are adopted, and a rising share of new team automations build on them.
  • Escalation volume reaching you and recurring incident categories decline over time.
  • Hours of repetitive operational work reclaimed each quarter through the automations you deliver.
  • Partners outside IT Innovations bring you in early, and the shared processes you design hold up without rework.
  • IT Systems Engineers grow in capability and confidence through your support, with less design rework needed over time.

What You’ll Bring

  • 7+ years in automation, integration, or IT systems engineering, with hands-on delivery of business-critical automations.
  • Deep hands-on experience with Workato preferred — recipe design, API integrations, error handling — or another integration platform as a service (iPaaS) such as Boomi, MuleSoft, Tray, or n8n.
  • Experience integrating enterprise systems — identity and access management, human resources, ticketing, finance — using APIs, webhooks, and event-driven patterns.
  • A track record of designing reusable patterns other engineers adopt, not just individual solutions.
  • Hands-on experience building AI-powered and agentic workflows in a governed environment.
  • Proficiency in a scripting language such as Python.
  • Comfort choosing an approach on unfamiliar problems and defending it with evidence.
  • Experience partnering with engineering and security colleagues on technical design, and cultivating vendor relationships.
  • Ability to influence without authority by adapting your message to the audience, and to grow less experienced engineers.
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Workato or an equivalent iPaaS certification is a plus.

The target base salary range for this position is $125,000 - $138,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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