AI Program Manager Jobs at Snorkel AI with Visa Sponsorship
AI Program Manager jobs at Snorkel AI sit at the intersection of enterprise AI deployment and cross-functional program execution. Snorkel AI has a track record of sponsoring work visas for technical program managers, making it a credible target if you're building a career in data-centric AI.
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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!
About the Role
You'll be Snorkel's primary technical voice in the open-source and research communities. The work spans three audiences: frontier AI research teams (post-training, RL environments, evals and benchmarks), enterprise ML and applied AI teams building specialized models on proprietary expertise, and the broader data-centric AI community.
You'll partner closely with our research, forward deployed research, and product teams to translate the methodology behind Snorkel's work into world-class technical content, open-source contributions, conference presence, and a thriving community of data-centric AI practitioners.
Success looks like: a strong Snorkel open-source presence, a steady cadence of high-signal technical writing and research artifacts, marquee presence at the conferences that matter (NeurIPS, ICML, ICLR, AI Engineer World's Fair), and an engaged community of researchers and practitioners who view Snorkel as the trusted authority on data development for modern AI.
Responsibilities
- Own Snorkel's external technical voice. Write methodology posts, technical deep-dives, and research-grade content on data development for frontier models.
- Lead Snorkel's open-source presence. Define the GTM approach, ship code, review PRs, recruit contributors, and keep the libraries credible and current. Build OSS that demonstrates Snorkel's methodology in practice, including reproducible evals and benchmark artifacts.
- Advance the conversation on AI evaluation and benchmarking. Publish original work on how to measure agentic AI systems. Domain-specific evals, agent evals, LLM-as-judge calibration, contamination and saturation, and the connection between evals and post-training data.
- Drive conference and research community presence. Land talks, papers, and workshops at NeurIPS, ICML, ICLR, AI Engineer World's Fair, and the right practitioner venues. Build relationships with academic labs and AI research teams.
- Partner with the research team. Translate what's learned in research collaborations into externally shareable methodology, case studies, and tooling.
- Set the bar for technical credibility. Design evals and benchmarks, prototype RL environments, and write code worth using. Your authority comes from doing the work, not just talking about it.
Preferred Qualifications
- Experience. 6+ years in applied ML research, AI engineering, developer/research advocacy, or a research-intensive technical role with significant public output. Prior DevRel/advocate experience welcome but not required.
- Deep technical fluency in modern AI. Post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, and at least one applied domain (coding agents, reasoning, multimodal, agents).
- Hands-on experience with AI evaluation and benchmarks. You've built and run real evals: public benchmarks (MMLU, GPQA, SWE-bench, HELM, BIG-bench, Arena-style head-to-heads), domain-specific custom evals, and LLM-as-judge pipelines with proper calibration.
- You build with AI, not just about AI. A power user of frontier coding agents (Claude Code, Cursor, Codex, and the like) in your day-to-day workflow, and you've built non-trivial agentic systems yourself – multi-step, tool-using, with real evals and an opinion on what breaks.
- A real public body of work. Talks, papers, blog posts, podcasts, and/or OSS contributions you can point to. Quality and signal matter more than volume.
- Customer- and researcher-facing presence. Comfortable in a room with frontier-lab research leads or a F500 ML team; can read the room and hold technical credibility on either side.
- Self-directed and comfortable with ambiguity. You ship without being asked, set your own quality bar, and enjoy moving at the pace of frontier AI.
Bonus: Advanced degree or sustained research output in ML/AI; prior experience at an AI lab, OSS-first AI company, or a research-driven technical org; conference program-committee or organizing experience; published or maintained a public benchmark; relationships in the post-training, evals, or RL-environments communities.
Salary Range
$155,000 - $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!
About the Role
You'll be Snorkel's primary technical voice in the open-source and research communities. The work spans three audiences: frontier AI research teams (post-training, RL environments, evals and benchmarks), enterprise ML and applied AI teams building specialized models on proprietary expertise, and the broader data-centric AI community.
You'll partner closely with our research, forward deployed research, and product teams to translate the methodology behind Snorkel's work into world-class technical content, open-source contributions, conference presence, and a thriving community of data-centric AI practitioners.
Success looks like: a strong Snorkel open-source presence, a steady cadence of high-signal technical writing and research artifacts, marquee presence at the conferences that matter (NeurIPS, ICML, ICLR, AI Engineer World's Fair), and an engaged community of researchers and practitioners who view Snorkel as the trusted authority on data development for modern AI.
Responsibilities
- Own Snorkel's external technical voice. Write methodology posts, technical deep-dives, and research-grade content on data development for frontier models.
- Lead Snorkel's open-source presence. Define the GTM approach, ship code, review PRs, recruit contributors, and keep the libraries credible and current. Build OSS that demonstrates Snorkel's methodology in practice, including reproducible evals and benchmark artifacts.
- Advance the conversation on AI evaluation and benchmarking. Publish original work on how to measure agentic AI systems. Domain-specific evals, agent evals, LLM-as-judge calibration, contamination and saturation, and the connection between evals and post-training data.
- Drive conference and research community presence. Land talks, papers, and workshops at NeurIPS, ICML, ICLR, AI Engineer World's Fair, and the right practitioner venues. Build relationships with academic labs and AI research teams.
- Partner with the research team. Translate what's learned in research collaborations into externally shareable methodology, case studies, and tooling.
- Set the bar for technical credibility. Design evals and benchmarks, prototype RL environments, and write code worth using. Your authority comes from doing the work, not just talking about it.
Preferred Qualifications
- Experience. 6+ years in applied ML research, AI engineering, developer/research advocacy, or a research-intensive technical role with significant public output. Prior DevRel/advocate experience welcome but not required.
- Deep technical fluency in modern AI. Post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, and at least one applied domain (coding agents, reasoning, multimodal, agents).
- Hands-on experience with AI evaluation and benchmarks. You've built and run real evals: public benchmarks (MMLU, GPQA, SWE-bench, HELM, BIG-bench, Arena-style head-to-heads), domain-specific custom evals, and LLM-as-judge pipelines with proper calibration.
- You build with AI, not just about AI. A power user of frontier coding agents (Claude Code, Cursor, Codex, and the like) in your day-to-day workflow, and you've built non-trivial agentic systems yourself – multi-step, tool-using, with real evals and an opinion on what breaks.
- A real public body of work. Talks, papers, blog posts, podcasts, and/or OSS contributions you can point to. Quality and signal matter more than volume.
- Customer- and researcher-facing presence. Comfortable in a room with frontier-lab research leads or a F500 ML team; can read the room and hold technical credibility on either side.
- Self-directed and comfortable with ambiguity. You ship without being asked, set your own quality bar, and enjoy moving at the pace of frontier AI.
Bonus: Advanced degree or sustained research output in ML/AI; prior experience at an AI lab, OSS-first AI company, or a research-driven technical org; conference program-committee or organizing experience; published or maintained a public benchmark; relationships in the post-training, evals, or RL-environments communities.
Salary Range
$155,000 - $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.
See all AI Program Manager Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Program Manager Jobs at Snorkel AI.
Get Access To All JobsTips for Finding AI Program Manager Jobs at Snorkel AI
Frame Your Resume Around AI Workflows
Snorkel AI hires program managers who understand data labeling pipelines, model evaluation cycles, and LLM deployment timelines. Tailor your resume to show you've managed technical AI projects end-to-end, not just coordinated cross-functional teams generically.
Verify Your Degree Supports Specialty Occupation Status
H-1B eligibility requires your role to qualify as a specialty occupation. For AI Program Manager positions, a degree in computer science, information systems, or engineering makes the strongest case. A business degree alone may face USCIS scrutiny.
Target Snorkel AI Roles That Align With Active Product Lines
Snorkel AI's hiring tends to cluster around its enterprise platform and customer-facing AI programs. Browse open AI Program Manager roles on Migrate Mate to identify which teams are actively building headcount before you apply.
Ask About Sponsorship During the Offer Stage
Raise visa sponsorship before signing the offer letter, not after. Confirm whether the role is approved for H-1B or TN sponsorship and ask if the company uses an in-house immigration team or outside counsel, since that affects your filing timeline.
Use OPT Strategically to Bridge Into Full Sponsorship
If you're on F-1 OPT, your 12-month authorization period can cover the gap while your employer prepares an H-1B petition for the next April filing window. STEM OPT extends that runway to 36 months for qualifying technical roles.
Prepare Your DOL Labor Condition Application Evidence Early
Your employer files the Labor Condition Application with DOL before submitting the H-1B petition. Understanding that your offered salary must meet the prevailing wage for AI program management roles in Snorkel AI's metropolitan area helps you evaluate offers accurately.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas for AI Program Managers?
Yes, Snorkel AI has sponsored H-1B visas for roles in this function. Because H-1B selection depends on the annual lottery, your employer must register you with USCIS each April for a chance at one of the 85,000 available slots. Confirming sponsorship intent during your offer negotiation gives you the clearest picture of your path forward.
How do I apply for AI Program Manager jobs at Snorkel AI?
You can browse and apply for AI Program Manager openings at Snorkel AI through Migrate Mate, which filters roles by visa sponsorship eligibility. Review the job description carefully for experience requirements around enterprise AI programs or data infrastructure, then tailor your application to reflect Snorkel AI's product focus before submitting directly through their careers portal.
Which visa types are commonly used for AI Program Manager roles at Snorkel AI?
H-1B is the most common route for AI Program Managers at U.S. technology companies including Snorkel AI. F-1 OPT and STEM OPT extension are frequently used by recent graduates to begin employment while H-1B sponsorship is arranged. Canadian and Mexican nationals may also qualify for TN visa status under the USMCA, provided the role maps to an eligible TN professional category.
What qualifications does Snorkel AI expect for AI Program Manager roles?
Snorkel AI typically looks for candidates with experience managing technical AI or machine learning programs, familiarity with data pipeline operations or model deployment workflows, and strong cross-functional communication skills. A bachelor's degree or higher in a technical field strengthens both your candidacy and your H-1B specialty occupation eligibility. Prior experience at an AI-focused software company is a meaningful differentiator.
How do I time my visa sponsorship process when joining Snorkel AI?
If you're targeting H-1B sponsorship, your employer must register you during the USCIS lottery window each March for an October 1 start date. If your offer comes outside that window, starting on OPT or another valid status while waiting for the next filing cycle is the standard approach. Aligning your start date and status transitions with your employer's immigration counsel early prevents gaps in work authorization.