Product Engineer Jobs at Snorkel AI with Visa Sponsorship
Product Engineer roles at Snorkel AI sit at the intersection of applied machine learning infrastructure and developer-facing tooling, requiring both engineering depth and product intuition. Snorkel AI has an established track record of sponsoring international engineers across multiple visa categories, making it a realistic target for visa-dependent candidates.
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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 between 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!
As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.
Main Responsibilities
- Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
- Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
- Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
- Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
- Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
- Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
- Build proactively with empathy for both customers and subject matter experts using our tools.
- Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
- Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
Qualifications
- 8+ years of software engineering experience
- 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
- Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
- Expertise designing REST for internal services and developers.
- Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
- Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
- Comfortable working with:
- Infra & deployment technologies: Terraform, Docker, Kubernetes.
- CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm.
- Ability to work in a fast-paced environment with strong technical communication skills.
- Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.
Nice to Have
- Experience in hyper-growth startup environments or scaling engineering orgs.
- Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
- Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.
Work Schedule
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
Salary Range
- $190,000—$240,000 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.

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 between 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!
As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.
Main Responsibilities
- Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
- Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
- Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
- Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
- Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
- Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
- Build proactively with empathy for both customers and subject matter experts using our tools.
- Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
- Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
Qualifications
- 8+ years of software engineering experience
- 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
- Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
- Expertise designing REST for internal services and developers.
- Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
- Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
- Comfortable working with:
- Infra & deployment technologies: Terraform, Docker, Kubernetes.
- CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm.
- Ability to work in a fast-paced environment with strong technical communication skills.
- Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.
Nice to Have
- Experience in hyper-growth startup environments or scaling engineering orgs.
- Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
- Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.
Work Schedule
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
Salary Range
- $190,000—$240,000 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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Get Access To All JobsTips for Finding Product Engineer Jobs at Snorkel AI Jobs
Frame your ML infrastructure experience precisely
Snorkel AI builds data-centric AI tooling, so highlight work with labeling pipelines, weak supervision, or model evaluation frameworks in your resume. Generic software engineering experience is harder to map to their open Product Engineer roles.
Target Product Engineer openings tied to core platform teams
Snorkel AI's Product Engineer postings cluster around their core data labeling and foundation model platforms. Applying to roles directly tied to these products, rather than peripheral tooling, puts you closer to where they've historically extended sponsorship support.
Raise visa sponsorship before the final round
Bring up your sponsorship needs after an initial screen but before the final loop. Snorkel AI's recruiting team handles immigration coordination internally, so flagging your situation early prevents surprises at the offer stage and keeps the USCIS filing timeline on track.
Use Migrate Mate to surface active openings
Product Engineer listings at Snorkel AI move quickly and aren't always flagged as visa-friendly on general job boards. Use Migrate Mate to filter and track Snorkel AI's open roles by sponsorship eligibility so you're applying to positions that actually fit your immigration situation.
Prepare for a skills-heavy technical interview process
Snorkel AI's Product Engineer interviews emphasize system design for ML workflows and product thinking around developer tooling. Build portfolio evidence of shipping customer-facing features in AI or data infrastructure products, since USCIS H-1B petitions for Product Engineer roles require clear documentation of specialty occupation duties.
Product Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Product Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Product Engineers?
Yes, Snorkel AI sponsors H-1B visas for Product Engineer roles. They have an active sponsorship history for this function, including support for candidates transitioning from F-1 OPT. If you're currently on OPT, Snorkel AI can file an H-1B cap petition on your behalf for the April lottery, provided your OPT authorization covers the gap until October 1 of the target year.
How do I apply for Product Engineer jobs at Snorkel AI?
Applications go through Snorkel AI's careers page, where Product Engineer openings are listed by team. You can also find and track their visa-eligible roles through Migrate Mate, which filters postings specifically for candidates who need sponsorship. Tailor your application to highlight ML infrastructure or developer tooling experience, which maps directly to what their Product Engineering teams build.
Which visa types does Snorkel AI support for Product Engineer roles?
Snorkel AI sponsors H-1B, F-1 OPT, and TN visas for Product Engineer positions. TN is available to Canadian and Mexican nationals in qualifying engineering occupations under the USMCA. F-1 OPT candidates, including those eligible for the 24-month STEM OPT extension, can typically begin work before an H-1B petition is filed, provided their employer is registered with E-Verify, which Snorkel AI is.
What qualifications does Snorkel AI expect from Product Engineer candidates?
Snorkel AI expects Product Engineers to have a bachelor's degree or higher in computer science, software engineering, or a closely related field. Beyond credentials, they prioritize hands-on experience with ML systems, data pipelines, or developer tooling. Strong product intuition and experience shipping features to external users distinguish competitive candidates, since the role sits at the boundary of engineering and product ownership.
How do I time my application around H-1B filing deadlines?
The H-1B cap lottery registration opens in March each year, with approved petitions taking effect October 1. If you're on F-1 OPT, you need a job offer before the registration window opens and sufficient OPT time remaining to bridge the gap to October. Starting your Product Engineer job search at Snorkel AI in the fall or winter gives you the best chance of clearing the offer and USCIS filing stages before the March deadline.
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