AI Product Engineer Jobs at Snorkel AI with Visa Sponsorship
AI Product Engineer jobs at Snorkel AI bridge research-grade data tooling and enterprise deployment, making deep technical fluency a core expectation. The company has a track record of sponsoring work visas for this function, and the role sits well within the specialty occupation criteria that underpin H-1B visa and TN visa filings.
Find AI Product Engineer Jobs at Snorkel AIOverview
Showing 5 of 6+ AI Product Engineer Jobs at Snorkel AI
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all AI Product Engineer Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at Snorkel AI.
Get Access To All JobsABOUT 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 an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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 an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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 Product Engineer Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at Snorkel AI.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at Snorkel AI
Frame your portfolio around data-centric AI
Snorkel AI's product suite centers on programmatic labeling and foundation model fine-tuning. Highlight projects where you built or evaluated data pipelines for ML training, not just model experimentation. Recruiters here screen for applied data engineering judgment, not research credentials alone.
Confirm your role qualifies as specialty occupation
USCIS requires a direct connection between your degree field and the job duties for H-1B approval. For an AI Product Engineer role, a degree in computer science, machine learning, or a closely related field strengthens your petition significantly compared to a general engineering background.
Use Migrate Mate to surface active AI Product Engineer openings
Snorkel AI posts AI Product Engineer roles across product and platform tracks, and timing your application to active headcount cycles matters. Use Migrate Mate to filter open roles at Snorkel AI by visa sponsorship eligibility so you apply when the position and sponsorship pathway are both live.
Understand how TN status fits this role
Canadian and Mexican nationals can pursue TN status for computer systems analyst roles without waiting on the H-1B lottery. Confirm your offer letter describes duties that align with a recognized TN occupation category, since AI Product Engineer titles require careful framing to fit USMCA's defined list.
Ask about OPT cap-gap support during offer negotiation
If your F-1 OPT authorization expires before an H-1B approval, the cap-gap rule extends your work authorization through September 30 of that year. Confirm Snorkel AI's HR team understands this bridge period before your start date, so your I-94 status and employment timing are aligned from day one.
Get your LCA public access file request ready early
Once Snorkel AI files a Labor Condition Application with the DOL on your behalf, they're required to post a notice at the work location and maintain a public access file. Request confirmation that this is completed, since LCA deficiencies are one of the most common H-1B petition delay triggers.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas for AI Product Engineers?
Yes, Snorkel AI sponsors H-1B visas for AI Product Engineer roles. The position qualifies as a specialty occupation under USCIS criteria, given its requirement for a bachelor's degree or higher in a specific technical field such as computer science or machine learning. You'll need your employer to file a certified Labor Condition Application with the DOL before the H-1B petition can be submitted to USCIS.
How do I apply for AI Product Engineer jobs at Snorkel AI?
You can apply directly through Snorkel AI's careers page or find their open AI Product Engineer roles filtered by visa sponsorship eligibility on Migrate Mate. Before applying, tailor your resume to reflect experience with data labeling workflows, foundation model evaluation, or ML pipeline development, since those are the competencies Snorkel AI's hiring process is designed to assess at the screening stage.
Which visa types are commonly used for AI Product Engineer roles at Snorkel AI?
H-1B is the primary visa pathway for AI Product Engineers at Snorkel AI, requiring an approved Labor Condition Application and a specialty occupation determination by USCIS. F-1 OPT and STEM OPT extensions are also used for recent graduates, providing up to three years of work authorization. Canadian and Mexican nationals may qualify for TN status if their job duties align with a recognized USMCA occupation category.
What qualifications does Snorkel AI expect for AI Product Engineer roles?
Snorkel AI's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, software engineering, or a related field, alongside hands-on experience building or evaluating ML systems. Practical familiarity with data pipeline tooling, model evaluation frameworks, or large language model integration is weighted heavily. Purely academic research backgrounds without production or product exposure are generally less competitive for this track.
How do I plan my timeline for H-1B sponsorship when targeting Snorkel AI?
USCIS opens H-1B registration in March each year for an October 1 start date, so your offer needs to be in place before that window. If you're on F-1 STEM OPT, you may have up to three years of work authorization to bridge that gap. Start engaging Snorkel AI's recruiting team at least six months before your current authorization expires to give the LCA filing and USCIS processing enough lead time.