THE ROLE

As an Applied Research Engineer at Snorkel AI, you will own the infrastructure that powers our model training and evaluation work. This is a hands-on role where you will build and operate GPU cluster infrastructure, training pipelines, and the tooling that allows our research and engineering teams to run experiments reliably and at scale. You will work closely with research scientists and engineers, translating training requirements into robust, reproducible systems—and proactively removing infrastructure blockers before they slow down the work that matters most.

Snorkel AI operates in a fast-paced, high-impact environment. We are looking for someone who takes pride in operational excellence, loves solving complex distributed systems problems, and thrives when given real ownership.

Location: Redwood City or San Francisco — OR REMOTE

MAIN RESPONSIBILITIES

• Set up and manage GPU cluster infrastructure on major cloud providers (e.g., AWS HyperPod) for distributed model training, including networking, provisioning, and cost tracking.
• Build and operate job orchestration and scheduling systems (e.g., Kubernetes, Slurm, or cloud-native equivalents) to reliably launch and manage training, rollout, and evaluation jobs across multi-node clusters.
• Integrate and maintain ML training frameworks and post-training pipelines, ensuring they run stably and reproducibly at scale.
• Set up and maintain experiment tracking, dataset versioning, and model artifact management to support fast iteration.
• Monitor and optimize cluster health, inter-node communication, and resource utilization; implement fault tolerance and auto-recovery so long-running jobs survive node failures.
• Work closely with research scientists and ML engineers to understand requirements, unblock experiments, and evolve infrastructure as our training workloads needs change.

PREFERRED QUALIFICATIONS

• Hands-on experience managing GPU clusters on major cloud providers, including provisioning, network configuration, and cost management.
• Experience with distributed compute orchestration tools such as Kubernetes, Slurm, or equivalent cluster management systems.
• Working knowledge of distributed training concepts: parallelism strategies, memory optimization techniques, and inter-node communication.
• Experience with setting up, managing, and integrating ML experiment tracking and data/model versioning tools..
• Strong Python proficiency and solid software engineering fundamentals such as version control, modular design, and automation.
• Ability to work in a fast-moving, iterative environment and take end-to-end ownership of ambiguous infrastructure problems.
• Hands-on experience with post-training workflows such as supervised fine-tuning (SFT) or reinforcement learning (RLHF, GRPO, or similar) is a strong plus, but not required.

This role is a great fit for engineers who love building reliable systems close to the frontier of AI research. We welcome applicants from a wide range of backgrounds—whether your experience comes from industry, research labs, or direct hands-on work with distributed infrastructure at scale.

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.

Senior Business Operations Manager

San Francisco, CA (Hybrid); New York City, NY (Hybrid)

About the Role

We're hiring a Senior Business Operations Manager to join our Business Operations team, reporting to the VP of Business Operations. This role is critical to scaling through our next phase of growth. At heart, it is a horizontal role: you will partner with leaders across the company to turn ambiguous strategic problems into structured decisions, durable operating systems, and measurable outcomes. Your work will span strategic planning, cross-functional initiatives, analytics, and operating cadence — solving high-leverage problems and unlocking growth.

We're looking for someone with broad skills who can go deep where it matters. You'll move fluidly between framing a business problem, pressure-testing the numbers behind it, working with stakeholders across the company to flesh out the plan, and building the strategy, operating cadence, or business intelligence needed to bring it to life.

This is a high-impact role for someone with sharp business judgment, an entrepreneurial bent, technical capability to build prototypes themselves, and the foresight needed to scale our business.

What You'll Do

• Partner with leaders across Snorkel to frame complex business problems and drive them to execution and impact, not just analysis or decisions
• Own cross-functional initiatives and stand up new programs and capabilities end-to-end: from problem definition through execution, measurement, and handoff to a steady-state owner
• Scope and run company initiatives end-to-end (e.g., external partnerships, corporate development, etc.)
• Translate strategic priorities into structured operating plans with clear owners, milestones, and measurable targets. Be able to run those core operating rhythms: roadmapping, OKRs, business reviews, planning cycles
• Build on top of our existing data and analytics infrastructure to create the dashboards and reporting that drive insight and enable us to run a world-class business without needing a technical analyst for support
• Turn messy data into clear recommendations for executive audiences
• Surface risks and trade-offs early and drive timely, well-made decisions
• Design durable systems and processes that scale with the company

Qualifications

• 5+ years of experience in roles that require strong business judgment (including under uncertainty), cross-functional execution, and comfort with ambiguity; breadth and comfort across different kinds of environments is critical
• Solid analytical and quantitative skills; comfortable building operating, financial, or market models from scratch
• Entrepreneurial mindset and high ownership: creative thinking, always willing to roll up your sleeves, and try new things
• Hands-on technical capability across the data stack that makes a modern company run — data lakes, data pipelines, systems of record (CRM, ERP, and similar), and analytics/BI — and able to dig into technical questions and root causes when needed
• Passion for unlocking new capabilities with modern AI tooling is a must. You can build your own prototypes to show what's possible, and have a sense for what it takes to turn a prototype into something the business can rely on
• Solid project management fundamentals: you can run a cross-functional workstream without needing a dedicated program manager backstopping you
• Excellent written and verbal communication: you can tailor a message from IC to executive audience
• Proven track record of influencing without authority across functions and levels

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.

Recruiting Coordinator

As the Recruiting Coordinator at Snorkel AI, you will be a critical point of contact and part of the candidate experience as we recruit our fellow teammates! As a compassionate team player, you are deeply committed to ensuring a smooth interviewing experience in a startup environment. You are agile, creative, and eager to learn about the business and communicate this to candidates. From the first encounter, you’ll have candidates excited to engage and explore career opportunities with Snorkel!

Please note that this is a contract opportunity.

Main Responsibilities

• Develop strong relationships with Talent Partners and hiring teams across multiple business units
• Schedule and coordinate interviews for Talent Partners and hiring teams in a timely manner.
• Create agendas for on-sites, schedule debrief meetings, collect feedback, and prepare reports as needed.
• Support candidates before, during, and after onsite and virtual interviews
• Ensure smooth and efficient coordination processes that are streamlined and compliant.
• Own some aspects of reporting of overall recruiting metrics such as interviewing volume, and monitor candidate movement in our ATS (Greenhouse)
• Maintain data integrity in our ATS.  Support execution of projects/programs related to employer brand, candidate experience, implementation of new systems, and recruiting process improvements
• Support leadership teams with interviewer training and calibration

Minimum Qualifications:

• At least a year of full-cycle talent coordination in a high-volume environment.
• Self-starting and resourceful work ethic requiring minimal guidance, but you know when to ask for help or guidance.
• Strong time management, prioritization, and organizational skills with strong attention to detail
• Demonstrated grit.  Driven to go above and beyond what is required.
• Ability to embrace and adapt to change, take initiatives and showcase curiosity, learn quickly in a fast-paced environment.
• Comfortable supporting both technical and non-technical candidates, and can quickly learn new roles as needed with support from our current team.
• Work well in a small, tight team and grow with us as we grow the company.
• Experience using Google Suite, ATS, and other job posting platforms

At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking a Delivery Operations Manager. As a Delivery Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact.

You’re Excited About This Opportunity Because You Will:

• Collaborate with Technical Delivery Manager to meet project timelines, deliverables, and quality standards.
• Engage with Expert Contributors to ensure high-quality datasets are delivered to customers.
• Conduct quality reviews to maintain data annotation accuracy and consistency.
• Monitor pipeline health and implement proactive solutions to prevent bottlenecks.
• Track project progress and performance through data analysis and reporting.
• Develop documentation for labeling guidelines and operational processes.
• Partner with stakeholders across teams to resolve blockers and sustain production efficiency.
• Provide regular updates to stakeholders on progress and key insights.

We’re Excited About You Because You Have:

• Proficiency with Google Workspace tools and strong data analysis skills.
• A proactive, results-driven mindset with creative problem-solving abilities.
• Adaptability to excel in a fast-paced, dynamic environment.
• Excellent written and verbal communication skills in English.
• Experience working with technical and non-technical stakeholders.
• The ability to work independently and collaboratively in a remote setting.

Bonus Points For:

• Familiarity with data annotation pipelines and machine learning workflows.
• Experience with SQL or other database languages.
• Strong analytical and process improvement capabilities.
• A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics.

Pay Transparency Notice: Depending on your work location in the United States, the target annual salary for this position can range as detailed below. 

Pay Range: $100,000-$150,000.

Pay Transparency Notice: In Mexico, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. To support global hiring, this role will be employed through our Employer of Record partner. You will be a full-time Snorkel employee, fully integrated into our team and culture.

Pay Range: $3,000-$5,000 per month (USD)

Manager, Revenue Accounting

Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

About The Role

We are looking for a hands-on Manager, Revenue Accounting  to build and scale our revenue accounting function as we continue to grow. This role will be instrumental in owning and evolving our revenue recognition processes under ASC 606, particularly in a project-based / services-driven revenue model.

You will partner closely with Finance, Deal Desk, Legal, Sales, and Delivery teams to ensure accurate revenue recognition, strong billing and collections processes, and scalable systems. This is a highly cross-functional and operational role — ideal for someone who thrives in ambiguity, enjoys building from the ground up, and isn’t afraid to dive into the details.

What You’ll Do

• Own and manage revenue recognition in compliance with ASC 606, including contract review, performance obligations, SSP analysis, and revenue allocation.
• Lead and optimize project-based billing processes, ensuring accurate invoicing aligned with contract terms and delivery milestones.
• Partner with Sales, Legal, and Deal Desk to review complex contracts and provide accounting guidance on revenue implications.
• Drive improvements in collections and cash flow, particularly with enterprise customers, by partnering cross-functionally to resolve billing and payment issues.
• Build and enhance scalable processes, controls, and systems to support a growing and evolving revenue model.
• Support and help lead the month-end close process, including preparation and review of revenue-related journal entries, reconciliations, and flux analysis.
• Ensure strong GL integrity and GAAP compliance across revenue-related accounts.
• Prepare technical accounting memos, narratives, and documentation to support revenue recognition positions.
• Partner with external auditors during audits and quarterly reviews, including audit support, walkthroughs, and control documentation.
• Develop and maintain internal controls over revenue, including documentation and testing readiness.
• Identify opportunities for process automation and system improvements across billing, revenue recognition, and collections workflows.
• Collaborate cross-functionally to ensure alignment between revenue systems, CRM (e.g., Salesforce), and financial systems.

Required Qualifications

• 7+ years of experience in revenue accounting, with strong exposure to ASC 606
• Deep experience with project-based, services, or hybrid SaaS revenue models
• Strong understanding of GAAP and general ledger accounting
• Proven experience managing or supporting month-end close processes
• Experience supporting or reviewing sales commissions and bonus calculations
• Experience with enterprise billing and collections, including improving collection cycles
• Demonstrated ability to operate in ambiguity and build processes from scratch
• Experience preparing technical accounting memos and audit documentation
• Prior experience working with external auditors and supporting audits
• Strong attention to detail with the ability to zoom out and think strategically
• Excellent cross-functional communication and stakeholder management skills
• Hands-on mindset with willingness to dive into operational and transactional details

Bonus Points For

• Experience in a high-growth startup or scaling environment
• Background in AI, SaaS, or technology companies
• Experience with revenue automation tools (e.g., NetSuite, Tabs, Maxio, etc)
• Familiarity with Salesforce and CRM-to-finance integrations
• CPA or equivalent certification
• Experience building or improving collections processes for enterprise customers

Location

Bay Area strongly preferred; open to remote.

Salary Range

$132,000 – $208,000 USD (adjustable depending on level/scope)

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.

Accounts Receivable (AR) / Project Billing Specialist

Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

About The Role

We are looking for a highly driven AR / Project Billing Specialist to own and execute our billing and collections processes for enterprise customers. This role will partner closely with the Revenue Accounting Manager and play a critical role in ensuring timely, accurate billing and accelerating cash collections.

This is a hands-on, execution-focused role — ideal for someone who thrives in the details, is persistent in following up with customers, and knows how to navigate complex enterprise procurement and payment environments (e.g., Coupa, Ariba, customer portals).

You will be instrumental in helping us reduce DSO, shorten time-to-bill, and drive toward a 5-business-day billing and AR close.

What You’ll Do

• Own end-to-end project-based billing, including invoice preparation, validation against contracts/SOWs, and timely delivery to customers.
• Navigate and manage customer procurement and payment portals (e.g., Coupa, Ariba, and similar systems) to ensure invoices are submitted correctly and without delay.
• Proactively drive collections efforts — follow up consistently with enterprise customers via email, portals, and calls to resolve outstanding invoices.
• Partner with Sales, Delivery, and Accounting to resolve billing discrepancies, disputes, and contract-related issues quickly.
• Monitor AR aging and take action to reduce DSO and improve cash collections performance.
• Ensure all billing aligns with contract terms, milestones, and project deliverables.
• Support a fast and efficient month-end close, helping achieve a 5-business-day billing/AR close timeline.
• Maintain accurate and up-to-date records in QuickBooks Online (QBO) and other billing systems.
• Reconcile billed revenue to underlying project data and ensure proper association of costs and revenue where applicable.
• Identify and implement process improvements to streamline billing, invoicing, and collections workflows.
• Assist in maintaining documentation and audit support related to billing and AR processes.
• Communicate clearly with internal and external stakeholders to ensure smooth billing and payment cycles.

Required Qualifications

• 3+ years of experience in accounts receivable, billing, or project-based invoicing roles
• Strong experience with project-based / milestone / services billing
• Proven track record of managing enterprise collections and reducing DSO
• Hands-on experience with customer payment and procurement portals (e.g., Coupa, Ariba, or similar)
• Experience working in QuickBooks Online (QBO) or similar accounting systems
• High attention to detail and ability to manage multiple invoices, accounts, and follow-ups simultaneously
• Strong organizational and follow-through skills — you don’t let things slip
• Comfortable working cross-functionally to resolve billing and payment issues quickly
• Ability to operate in a fast-paced, evolving startup environment

Bonus Points For

• Experience in a high-growth startup or services-heavy SaaS company
• Familiarity with revenue recognition concepts (ASC 606 exposure)
• Experience with additional billing/revenue tools (e.g., NetSuite, Tabs, or Maxio)
• Experience building or improving billing and collections processes from scratch
• Strong Excel/Google Sheets skills for tracking AR, reconciliations, and reporting
• Prior experience helping achieve accelerated close timelines (≤5 days)

Location

Bay Area strongly preferred; open to remote.

Salary Range

$101,000 – $159,000 USD (depending on experience)

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 the Role

Snorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.

You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans.

Main Responsibilities

• Partner with frontier AI research labs to design datasets and environments that improve model performance
• Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
• Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
• Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
• Develop technical specifications for data projects that balance research rigor with operational feasibility
• Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
• Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies

Preferred Qualifications

• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Experience in applied ML research, data science, or research-intensive technical roles
• Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
• Proficiency in Python and familiarity with ML frameworks and LLM APIs
• Excellent communication skills, ability to deliver technical presentations and explain complex concepts to diverse audiences
• Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML research or technical roles; advanced degree preferred

Compensation

The salary range is $180,000 - $300,000 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 THE ROLE 

We're looking for a Research Scientist to work on reinforcement learning for training and aligning large language models. This is a foundational research role focused on one of the most consequential open data problems in AI: how to generate the data, reward signals, and training procedures that steer LLM behavior in reliable and generalizable directions — and a core capability that directly differentiates Snorkel's data-as-a-service offering. 

You'll work closely with Snorkel's research, engineering, and delivery teams to advance our RL data capabilities — translating research ideas into the preference datasets, reward models, and RL-ready corpora we produce for frontier AI labs, and contributing to a research agenda that is central to Snorkel's long-term differentiation as a provider of bespoke training data. 

MAIN RESPONSIBILITIES 

• Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling — and translate them into data products (preference datasets, reward signals, verifiable rewards) that customers can use to train and fine-tune large language models. 
• Design and build data pipelines that generate high-quality training signal for RL workflows, including AI-assisted data annotation and curation data pipelines to improve model generalization to unseen benchmarks . 
• Prototype and iterate on end-to-end RL training recipes that inform what data Snorkel ships as part of its data-as-a-service deliveries. 
• Work closely with research scientists, ML engineers, and delivery teams to translate RL research into customer-ready data products.
• Stay current with the latest developments in large-scale muli-node LLM training, alignment research, and scalable RL methods (on complex environments such as Terminal-Bench), bringing relevant advances into Snorkel's data-as-a-service approach.
• Contribute to Snorkel's research publications and internal knowledge base in RL and model training.

PREFERRED QUALIFICATIONS 

• Deep expertise in reinforcement learning from human or AI feedback, reward modeling and credit attribution ideally with a clear perspective on what data makes these techniques work. 
• Experience training or fine-tuning 30B+ large language models at scale, including familiarity with distributed training infrastructure. 
• Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace and hands-on experience with RL frameworks such as Verl and SkyRL. 
• Solid software engineering fundamentals — you can build research prototypes that others can run, extend, and integrate into data production workflows. 
• Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.); experience with large-scale RL training pipelines a strong plus. 
• Comfort operating in a high-iteration environment with open-ended research questions and shifting, customer-driven technical constraints. 
• Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered. 

ABOUT THE ROLE 

We're looking for a Staff or Senior Research Scientist to collaborate with partners and lead the development of the next frontier benchmarks and datasets. This is a highly visible, customer-facing role at the intersection of research, company strategy, and go-to-market. You'll design datasets taking into account frontier model performance and work with our academic partners, and then partner with delivery, product and go-to-market to scale out production. You will also  serve as a credible technical partner for our customers, prospects, and drive results that impact the broader research community. 

This role reports directly to the Head of Research and is ideal for someone who is energized by cross-functional work and wants to understand how startups operate across research, data operations, and commercial teams. 

MAIN RESPONSIBILITIES 

• Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships 
• Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
• Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap. 
• Stay at the frontier of LLM evaluation research and bring best practices into Snorkel's workflows
• Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI

PREFERRED QUALIFICATIONS 

• Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior. 
• Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences 
• Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces 
• Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services. 
• Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.

• Design and develop key interfaces for our expert data collection workflows, focusing on high-efficiency labeling, data analysis, and sophisticated visualization tools.
• Prototype, optimize, and maintain scalable services to power complex data collection pipelines and expert-in-the-loop workflows.
• Build proactively with empathy for both our customers and the subject matter experts using our tools, constantly iterating to balance innovative research with practical solutions.
• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
• Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

• 6+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures.
• Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
• Experience prototyping and iterating on user interfaces with modern React (ES7+, React hooks, TypeScript).
• Expertise designing REST APIs for internal services and developers.
• 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.

About the Internship

As a Software Engineering Intern, you’ll work on a project motivated by Snorkel AI’s ongoing engagements with customers and AI labs, with opportunities for both end-to-end ownership and close mentorship from experienced engineers. You’ll contribute directly to Snorkel’s Data-as-a-Service (DaaS) platform, helping build novel, high-quality training data that powers production AI systems across industries.

In this role, you’ll design, build, and ship features that move from initial concept through implementation and into real-world, real-time usage by customers. You’ll work across the stack to develop scalable systems that enable programmatic data creation, labeling, and validation, core to how modern AI is built.

Snorkel AI is at an exciting growth stage, and interns are treated as full members of the engineering team. In our fast-moving startup environment, we look for engineers who are versatile, proactive, and eager to tackle ambiguous, real-world problems. You’ll collaborate closely with product managers, researchers, and other engineers, receive regular feedback, and gain firsthand exposure to how a high-growth AI company operates, while shipping software that truly matters.

Main Responsibilities

• Work with a mentor and engineering team to develop customer solutions and platform improvements across various Snorkel products
• Analyze objectives and evaluate results to choose the best solution to effectively solve problems
• Design new features, make product recommendations, and generally help improve Snorkel product experiences

Preferred Qualifications

• Pursuing a BS/MS/PhD in Computer Science or a related field
• Available to work full time for a minimum of 12 weeks and return to a degree program after completion of the internship
• Skilled in Software Development and coding in Python and/or JavaScript
• Experience working on large, collaborative coding projects
• Ability to work in a fast-paced environment and strong technical communication skills

About the Role 

In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives. 

You’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers.

Sitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement— leading scoping and preselling efforts.  You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.

Main Responsibilities

• Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
• Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact. 
• Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
• Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows 
• Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
• Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
• Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality

What We’re Looking For

• 10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
• Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.
• Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
• Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
• Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
• Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
• Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs

Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.

About the Role

Snorkel AI is hiring engineers who will work directly on Snorkel projects,  partnering with leading labs and enterprises to design, develop, and deliver high quality AI/ML data products for their most critical AI initiatives. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle. This includes developing and deploying ML-based workflows, and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster and more effective. 

You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation.

This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team.

Main Responsibilities

Project Execution & Delivery

• Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
• Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
• Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
• Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements

Production & Technical Partnership

• Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
• Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals
• Maintain specification consistency and alignment across customer and internal teams throughout the engagement lifecycle
• Identify and document workflow best practices and automation opportunities, collaborating with DaaS Engineering to continuously improve delivery capabilities

Technical Leadership & Innovation

• Maintain solution leaderboards and execute custom model benchmarking on existing datasets to demonstrate technical capabilities
• Drive continuous improvement of technical assets, evaluation frameworks, and delivery processes to enhance speed, quality, and scalability

What We’re Looking For

• 4+ years of experience in data science, engineering, or solution development roles. Strong practical experience with Python and SQL data tooling required
• Familiarity with ML and LLM-based solutions, applying ML techniques in production contexts, and validation and evaluation of ML and LLM-based
• Experience integrating systems via API

Compensation range for Tier 1 locations of San Francisco Bay Area and New York City, $172K - $300K 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.

Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team. 

#LI-CG1

About the Team

The DaaS Engagement Management team sits at the center of Snorkel AI’s Data-as-a-Service business, partnering with leading AI labs and enterprises to deliver high-quality datasets that power frontier AI systems, and reports into the GM of the business.

The team is responsible for driving customer adoption, consumption, and expansion, working closely with Sales, Delivery, Product, and Engineering. This function is a critical driver of revenue realization and net revenue retention (NRR) for the DaaS business.

About the Role

As the Head of Engagement Management, DaaS, you will lead and scale the Engagement Management function, owning customer outcomes, consumption, and revenue realization across the DaaS business.

You will be responsible for building and managing a high-performing team of Engagement Managers, setting strategy, defining operating rhythms, and ensuring the team is focused on the highest-impact customer opportunities.

You will partner closely with Sales leadership, Product, and Delivery to drive expansion, improve customer retention, and maximize revenue from existing accounts.

This role blends team leadership, customer success strategy, and commercial ownership—you are accountable for both the success of your team and the overall growth and health of the DaaS customer base.

About You

You are a strong operator and people leader with a track record of building and scaling customer-facing teams in high-growth environments. You bring a balance of strategic thinking and execution, and are comfortable owning both customer outcomes and revenue performance.

You thrive in ambiguity, are highly collaborative, and have experience working cross-functionally to drive both customer success and business growth. You are motivated by building durable customer relationships and scalable systems that drive long-term impact.

Responsibilities

• Build, lead, and develop the Engagement Management team, including hiring, coaching, and performance management
• Define and execute the Engagement Management strategy, aligning team priorities to business goals (consumption, NRR, expansion)
• Own overall customer consumption, adoption, and revenue realization across DaaS accounts
• Partner with Sales leadership to drive expansion strategy and execution across key accounts
• Establish operating cadence, metrics, and reporting to track account health, usage, and revenue performance
• Ensure the team is focused on highest-value accounts and opportunities, prioritizing impact and growth
• Build and scale repeatable playbooks and motions for driving consumption, successful pilot-to-production handoffs and expansion
• Oversee customer engagements across lifecycle, ensuring strong delivery, stakeholder alignment, and long-term partnership health
• Act as a senior escalation point for customer issues and drive cross-functional resolution with Product, Delivery, and Engineering
• Develop deep relationships with senior and executive stakeholders across strategic accounts

Requirements

• 8+ years of experience in customer success, account management, consulting, or similar roles in a technical or data-driven environment
• 3+ years of experience leading and scaling customer-facing teams
• Proven track record of driving customer adoption, consumption, and expansion at scale
• Experience partnering closely with Sales leadership in a shared ownership model of revenue growth
• Experience leading teams in consumption-based or usage-based business models; 
• Experience driving net revenue retention (NRR) and expansion metrics at scale
• Strong leadership and organizational skills, with the ability to set strategy and execute through teams
• Experience building processes, playbooks, and operating rhythms in high-growth environments
• Excellent communication skills, including executive-level stakeholder management
• Technical aptitude in data, AI/ML, or related domains
• Ability to operate in fast-paced, ambiguous environments
• Willingness to travel up to 20%

Bonus points for:

• Background in AI/ML, data infrastructure, or data services businesses
• Experience working in high-growth or early-stage environments building functions from the ground up

About the Role

We are hiring a Senior Analytics Manager to partner directly with Snorkel’s Delivery organization within our rapidly scaling Data-as-a-Service (DaaS) business. Delivery is comprised of three core teams and is responsible for executing every project we run at DaaS.

This role will serve as the analytical backbone of the Delivery organization — defining how delivery performance is measured, designing the metrics that matter, and building the dashboards and analytical frameworks that give leadership clear visibility into operational health as we scale.

You will work closely with Delivery, Supply, GTM, and the Data team to ensure operational metrics are clearly defined, analytics systems are scalable, and leadership has the insights needed to manage capacity, delivery performance, and operational tradeoffs. This role is focused on translating operational complexity into structured metrics, models, dashboards, and insights that enable scalable, high-quality execution.

What You’ll Do

• Define the core operational metrics that measure delivery performance, quality, efficiency, and scalability across the DaaS business
• Design and build dashboards that clearly communicate operational performance and enable fast decision-making by Delivery leadership and all of the respective teams and pods within Delivery
• Build and maintain delivery capacity models that forecast project demand and internal staffing needs
• Partner with Delivery leadership to identify operational bottlenecks and proactively surface constraints
• Establish a clear measurement framework for Delivery, defining how we track throughput, quality, contributor performance, and operational efficiency
• Analyze trade-offs between speed, quality, cost, and staffing to guide resourcing and delivery decisions
• Collaborate closely with the Data team to ensure dashboards and analyses are built on reliable sources of truth and scalable data structures
• Partner with Supply to ensure expert contributor availability aligns with delivery needs
• Partner with GTM to model pipeline impact on delivery capacity and staffing plans
• Translate ambiguous operational questions into structured analyses and executive-ready recommendations
• Drive continuous improvement in how Delivery performance is measured, monitored, and managed

Qualifications

• 5+ years of experience in analytics, strategy, operations, or data science roles
• Strong experience building operational analytics systems for complex organizations (services, marketplaces, workforce platforms, or similar)
• Proven ability to design business metrics and analytics frameworks that power dashboards and operational decision-making
• Advanced proficiency in SQL and analytics tooling, with experience building dashboards in BI platforms
• Experience partnering closely with data teams to ensure reliable analytics systems
• Experience partnering closely with operational leaders in fast-moving environments
• Ability to translate ambiguity into structured frameworks and actionable insights
• Strong cross-functional communicator who can influence across Delivery, Supply, GTM, and Data teams
• Comfort operating in imperfect systems while building toward scalable operational rigor

Bonus: Exposure to marketplace, services, or data/AI businesses

Pay Transparency Notice: Depending on your work location in the United States, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, New York, Seattle and is $130,000-$200,000. All offers include equity compensation in the form of employee stock options.

We’re looking for a Regional Sales Director to build, coach, and scale a team of high-performing Account Executives. This leader will bring an enterprise-grade sales motion while helping the team win with a new generation of AI-native buyers.

What You’ll Do:

• Lead, coach, and develop a team of Account Executives selling DaaS across the US
• Drive pipeline generation, deal quality, and consistent execution across the team
• Instill a structured, multi-threaded, consultative sales motion
• Coach reps on selling into AI-native buyers (LLM companies, vertical AI startups) and AI-forward organizations
• Actively participate in strategic deals - help shape account strategy, pilots, and closing plans
• Build strong operating rigor: forecasting, pipeline hygiene, deal reviews, and inspection cadence
• Partner closely with Solutions Engineering, Delivery, Marketing, and Product
• Help refine messaging and GTM motion based on frontline customer insight
• Recruit, hire, and onboard top-tier AE talent

Who You Are

• 8-10+ years of quota-carrying sales experience, with 5-7+ years in frontline sales leadership
• Proven track record of leading teams that consistently exceed targets
• Experience selling complex, technical solutions (AI/ML, data infrastructure, or technical services)
• Strong ability to coach reps on multi-threaded, consultative sales motions
• Comfortable engaging directly with technical buyers and senior stakeholders
• Experience operating in competitive, fast-evolving markets
• Highly structured operator with strong forecasting and inspection rigor
• High ownership, high standards, low ego

Nice to Have:

• Experience selling into AI/ML teams or developer-first products
• Background in high-growth or category-creating companies

The Role

We are seeking a highly technical and strategic Senior Product Manager with deep AI/ML expertise to lead development across our agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. This role is ideal for someone with a core ML/AI product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations. You will work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans for intelligent workflow systems that optimize data pipelines, improve task quality, and enable faster and more efficient delivery of AI-ready datasets.

This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution.

What You’ll Do

• Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.                                                                                                                                                                
• Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate.
• Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality.  
• Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness.
• Own the strategy and execution of Expert Contributor Quality
• Build a recommendation system for optimal matching of ECs to tasks on the Snorkel Platform
• Work with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products 
• Balance short-term delivery with long-term platform investments to support future growth.
  
  

Minimum Qualifications

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
• Educational background in computer science or related engineering practice
• Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
• Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch.
• Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes.
• Experience building internal or platform-level products with complex workflows and multi-stakeholder environments.
• Proven ability to own end-to-end product experiences across multiple user personas.
• Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
• Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.
  
  

Preferred Qualifications

• 5-7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products.
• Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms.
• Familiarity with LLMs, LLM Evaluations, human-in-the-loop systems, and synthetic data generation.
• Background in Machine Learning, Data Engineering, or related technical field
• Demonstrated ability to lead large, cross-team initiatives without formal authority.

Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world’s most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research.

About the Role

As a manager on the Research team, you will lead a team that focuses on data-centric research that drives the datasets and associated methods that the next generation of models will be trained and evaluated on. From collaborating with researchers at frontier labs to academics at Stanford, Berkeley, UW, you and your team will bridge the gap between cutting edge research and real-world AI development. 

Main Responsibilities

• Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
• Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
• Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
• Operational Excellence: Partner with the Go-to-Market, Operations and Product teams to enhance current state and drive the roadmap for what the company will focus on next

What We’re Looking For

• 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
• A player coach who is willing to be hands-on with coding, research, customer-facing engagements
• A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
• Enjoys solving real-world problems in the data space and bridging research and production
• Strong, practical experience working with LLMs, agentic workflow
• Bonus: Experience with data annotation workflows and/or building internal tooling for them

Location: San Francisco, CA or Remote
Reports to: Head of Research (Co-founder)

The Role

We are seeking a Senior Product Manager to own the core platform that powers all data operations across our ecosystem. This platform enables experts to efficiently produce high-quality data, supports internal operations at scale, and provides reliable APIs and SDKs for customers.

In this role, you will own the end-to-end experience of our data platform — from expert tooling and workflow orchestration, to identity and access management, data ingestion, versioning, and delivery. You will define platform strategy, set the roadmap, and partner closely with Engineering, Research, and Operations to build scalable, reliable systems that support high-throughput, high-quality data production.

This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution.

What You’ll Do

• Own the product vision, strategy, and roadmap for the core platform supporting expert contributors, internal operations, and customers.
  
  
• Define and deliver expert tooling, workflow orchestration systems, and internal ops controls that improve productivity, quality, and scalability.
  
  
• Lead platform initiatives across data ingestion, storage, versioning, permissions/IAM, and system reliability.
  
  
• Partner deeply with Engineering to make informed tradeoffs across APIs, data models, system architecture, and platform abstractions.
  
  
• Collaborate with Research and Operations to ensure platform capabilities support evolving RLHF methodologies and operational needs.
  
  
• Build and evolve APIs and SDKs that enable customers to seamlessly access the platform capabilities
  
  
• Drive metrics across throughput, cycle time, quality, cost efficiency, platform adoption, and reliability.
  
  
• Identify platform bottlenecks and lead cross-team efforts to improve performance, scalability, and experts experience.
  
  
• Balance short-term delivery with long-term platform investments to support future growth.

Minimum Qualifications

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
  
  
• Experience building internal tools, ops platforms, or data platforms at scale.
  
  
• Strong technical fluency, with comfort discussing APIs, data models, system design, and infrastructure tradeoffs with engineering teams.
  
  
• Proven ability to own end-to-end product experiences across multiple user personas.
  
  
• Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
  
  
• Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.

Preferred Qualifications

• Experience building platforms that support human-in-the-loop or data production workflows.
  
  
• Background in data infrastructure, ML platforms, or enterprise SaaS products.
  
  
• Experience designing APIs or developer-facing platforms.
  
  
• Demonstrated ability to lead large, cross-team initiatives without formal authority.

About The Role

The Senior Business Systems Analyst will be a key member of Snorkel’s Revenue Operations team. In this role, you will partner closely with Sales and Delivery stakeholders to understand operational needs and ensure our systems, especially Salesforce, are configured to support how our teams sell, deliver, and scale customer engagements.

You will also collaborate cross-functionally with Marketing, Finance, Analytics, Legal and Enablement teams to ensure new processes, system updates, and workflow improvements are aligned across the organization and do not negatively impact downstream systems or operational dependencies.

This is a hands-on role. The ideal candidate will not only gather and define business requirements but will also design and implement solutions across our GTM systems, including Salesforce and connected tools such as Gong, Outreach, Clay, and others, ensuring that systems capabilities align with operational needs.

What You’ll Do

• Partner with Sales and Delivery leadership to gather, document, and prioritize business requirements for operational systems and workflows.
• Translate business needs into scalable system designs and implement solutions directly in Salesforce, including objects, flows, validation rules, automation, and configuration updates.
• Collaborate with Revenue Operations and cross-functional teams (Marketing, Finance, Analytics, Delivery, and Supply) to ensure system changes and new processes align across teams and do not negatively impact downstream systems.
• Implement SOPs, governance frameworks, and system controls to improve Salesforce data hygiene and maintain Salesforce as a trusted source of truth.
• Evaluate existing operational processes and recommend system and workflow improvements that increase efficiency and scalability.
• Support the rollout of new system capabilities and enhancements across Salesforce and connected business systems.
• Ensure system changes are properly tested, documented, and communicated to stakeholders.
• Partner with Enablement to ensure systems and new processes are effectively adopted and consistently utilized across teams.
• Manage system change requests and collaborate with RevOps leadership on prioritization and rollout planning.

Required Qualifications

• 5+ years of experience in Business Systems Analysis, Revenue Operations, Sales Operations, or similar operational roles
• Strong experience gathering and translating business requirements into system solutions
• Salesforce Administrator certification with hands-on experience in Salesforce administration and configuration
• Familiarity with system integrations or workflow automation tools.
• Experience supporting Sales and Delivery operational workflows
• Strong documentation and process mapping skills
• Excellent stakeholder management and cross-functional communication skills
• Strong analytical and problem-solving abilities with high attention to detail
• Ability to manage multiple initiatives in a fast-moving environment

Bonus Points For

• Salesforce Advanced Administrator certification.
• Experience in B2B SaaS or AI/technology companies.

Location: Bay Area strongly preferred, Open to Remote.

Account Executive - Data-as-a-Service (DaaS)

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!

We’re looking for a high-caliber Account Executive who brings an enterprise-grade sales motion, but is excited to sell into a new generation of AI-native buyers. This is a consultative, technical sale into sophisticated customers building real AI products.

What You’ll Do:

• Own the full sales cycle from prospecting through close and expansion
• Build and manage pipeline across large, high-potential accounts (net new focus)
• Sell into AI/ML leaders at LLM companies and vertical AI startups, as well as large organizations building internal AI capabilities
• Run a structured, multi-threaded sales process across technical and executive stakeholders
• Diagnose customer challenges across data, model development, and production AI workflows
• Translate those challenges into scoped DaaS engagements (pilots → production)
• Partner closely with Solutions Engineering and Delivery to shape and land deals
• Clearly differentiate Snorkel’s approach vs. the competition
• Maintain strong forecasting discipline and pipeline hygiene
• Bring customer insight back to Product and GTM teams

Who You Are:

• 5+ years of quota-carrying experience in a complex, technical sales environment (AI/ML, data infrastructure, or technical services)
• Proven track record of closing 6–8 figure deals with technical buyers and senior stakeholders
• Experience competing against incumbents or redefining a category
• Comfortable selling into highly technical personas (ML engineers, data scientists, AI founders)
• Strong ability to lead both technical and business value conversations
• Structured, disciplined operator with strong pipeline management skills
• High ownership, low ego, highly coachable

Nice to Have:

• Background in ML/data workflows or experience selling into AI teams
• Experience in high-growth, early-stage or category-creating companies

About the Role 

We are seeking an experienced Enablement Operations Manager to design, develop, and enhance the enablement infrastructure (e.g., tools, data systems, frameworks) and programs for Snorkel's GTM team. In this role, you will design, build, and scale the enablement infrastructure that accelerates revenue growth and customer satisfaction. As the architect and builder of our internal enablement operations, you'll create systematic programs that reduce time-to-productivity, improve win rates, and drive consistent customer experiences—directly impacting quota attainment, deal velocity, and client satisfaction.

About You

7+ years in enablement roles, with demonstrated progression from program execution to strategic ownership. You've moved beyond just running training sessions—you've built enablement functions, reduced ramp times, improved win and quality delivery rates, and proven business impact through metrics.

Responsibilities

1. Internal Enablement Strategy & Execution: Design and implement a comprehensive enablement roadmap, including onboarding, everboarding, and GTM methodologies (i.e., MEDDPICC), in collaboration with the Head of Enablement & Product Operations.
2. Revenue-Driven Enablement: Develop competency-based onboarding and certification programs, establish playbooks for standard operating procedures, and measure improvements in acceleration, quality, and efficiency in Snorkel’s GTM and Presales teams for our DaaS organization.
3. Product Launch Activation: Partner with the Marketing Leadership to turn messaging into strategies and team capabilities, create role-specific enablement, and build activation programs while assessing adoption and gathering field intelligence.
4. Data-Driven Operations: Establish a knowledge base in Notion and explore LMS integration; develop frameworks to track onboarding, revenue, and efficiency metrics using Salesforce data to provide insights; and conduct quarterly ROI reviews.
5. Cross-Functional Execution: Collaborate with DaaS leadership and Cross-functional partners for seamless program delivery, acting as the enablement program manager for GTM and Presales planning and product launches.

Requirements

• 7+ years in enablement/Sales Enablement in B2B SaaS, enterprise software, or technical products 
• Proven builder: Track record of designing AND implementing enablement programs from scratch—you don't just create strategy, you build onboarding programs, certification frameworks, playbooks, and analytics dashboards
• Revenue-focused operator: Experience proving enablement impact through business metrics (win rates, ramp time, quota attainment, deal and delivery velocity) 
• Strategic program manager: Expert at scoping initiatives, building business cases, managing cross-functional teams, and delivering complex projects in fast-paced startup environment
• Strong influencer: Able to build credibility quickly with teams and leadership, influence without authority, and adapt communication style for different audiences

Bonus points for

• Experience in AI or Data-as-a-Service sales
• Background in competency-based training design or certification program development
• Familiarity with enablement platforms (preferably Notion), call intelligence tools (Gong), and learning management systems
• Understanding of instructional design principles sufficient to partner effectively with learning professionals
• Experience with product enablement and product launch coordination
• Master's degree in Business Administration or Organizational Development, or equivalent work experience

The salary range for this San Francisco Bay Area–based position is $130,000–$200,000 base salary.

About the Role

We are hiring a Senior Operations Manager, Growth to own and scale our paid acquisition engine within Snorkel’s rapidly growing Data-as-a-Service (DaaS) business. Our DaaS business sources expert contributors — Masters and PhD holders across STEM, engineering, law, medicine, and other specialized domains — to perform high-quality AI training work for the world’s leading AI labs.

This role reports to the Head of Supply and is responsible for turning ad spend into qualified, domain-matched contributors while maintaining a sustainable cost to acquire. You will own and manage our paid acquisition strategy, partnering with analytics and GTM teams to develop demand forecasting models using Salesforce and sales pipeline signals, manage the deployment of domain-specific advertisements at scale, and design the dashboards that keep the team honest about performance.

This is a high-impact role for an operator who is equally comfortable building growth models and managing campaign performance in spreadsheets, while aligning with finance to present on spend efficiency and lifetime value. You will work closely with Supply Operations and GTM to ensure that acquisition channels and spend targets are aligned to real demand signals, while ensuring that we are bringing the right users through our funnel.

What You’ll Do

• Own and execute the end-to-end paid acquisition strategy for sourcing expert contributors across specialized domains
• Manage ad channel strategy across LinkedIn and other paid channels — including ad deployment, budget allocation, audience targeting, and creative iteration
• Work with engineering and analytics to ensure that we have proper data attribution across all channels and campaigns, while driving deeper understanding around organic traffic
• Align with associates and coordinate with cross-functional partners to ensure rapid deployment and updates to campaigns
• Shift our operating model from reactive to proactive: develop clear growth signals from sales pipeline data, translating confirmed demand and unconfirmed opportunities into actionable sourcing targets by domain
• Design and own the growth operations dashboard in partnership with Analytics, covering marketing-layer metrics (impressions, clicks, cost per sign-up) and platform-layer metrics (activation rate, CAC, domain match rate)
• Manage weekly campaign performance reporting: flag underperforming campaigns, recommend budget reallocation, and surface spend efficiency trends to leadership

Qualifications

• 5+ years of experience in growth operations, performance marketing, demand generation, or related roles in high-growth or operationally complex environments
• Proven experience managing paid acquisition campaigns at scale — ideally across LinkedIn, job boards, or talent/marketplace platforms
• Experience building demand forecasting models, including scenario-based planning (conservative/base/aggressive)
• Strong analytical skills using SQL 
• Track record of managing or coordinating cross-functional teams to execute campaign operations at speed
• Prior experience with operations-heavy business models such as marketplaces, on-demand services, staffing, or workforce platforms
• Ability to bring structure and clarity to ambiguous problem spaces — comfortable building processes from scratch in imperfect systems
• Excellent written and verbal communication skills, with experience presenting spend efficiency and growth metrics to senior stakeholders
• Entrepreneurial mindset with high ownership, strong prioritization skills, and a bias toward action

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, New York, Seattle and is $160,000-$200,000 All offers include equity compensation in the form of employee stock options. 

#LI-GM1

About the Team

The Data-as-a-Service Engagement Management team sits at the center of Snorkel AI’s DssS business, partnering with leading AI labs and enterprises to deliver high-quality datasets that power frontier AI systems, and reports into the GM of the business. The team is responsible for driving customer adoption, consumption, and expansion, working closely with Sales, Delivery, Product, and Engineering. 

About the Role

As an Engagement Manager, DaaS, you will own customer outcomes and revenue realization across your accounts. You are responsible for driving consumption of DaaS offerings and ensuring booked revenue is recognized. You will serve as the primary point of contact for enterprise customers, building strong relationships and guiding them from pilot through production. In close partnership with Account Executives, you will drive expansion and long-term account growth. This role blends customer success, commercial partnership, and delivery oversight—you are accountable for both successful delivery and sustained customer value.

About You

You are a customer-focused operator with strong ownership over outcomes. You’re comfortable managing complex accounts, navigating ambiguity, and working cross-functionally to drive both customer success and business growth. You bring experience working with enterprise customers in technical or data-driven environments and are motivated by building long-term, high-impact partnerships.

Responsibilities

• Own post-sale customer outcomes, including adoption, consumption, and revenue realization across assigned DaaS accounts
• Drive ongoing consumption of contracted datasets, ensuring bookings are converted into recognized revenue
• Build deep, multi-threaded relationships across customer organizations, including technical, operational, and executive stakeholders
• Partner closely with Account Executives to identify, shape, and progress expansion opportunities
• Lead customer engagements from project kick-off through ongoing production, ensuring alignment on goals, timelines, and success criteria
• Manage delivery of complex datasets with the Delivery team, meeting quality, scope, and SLA expectations while proactively identifying risks
• Communicate value delivered, usage trends, and growth opportunities to both technical and non-technical audiences
• Act as the voice of the customer internally, collaborating with Delivery, Product, and Engineering to resolve issues and improve processes
• Develop a strong understanding of customer workflows and data consumption patterns to proactively identify opportunities for increased adoption and expanded use cases

Requirements

• 5+ years of experience in customer success, account management, consulting, or a related post-sales role in a technical or data-driven environment
• Excellent track record of managing enterprise accounts and driving customer adoption, consumption, and expansion
• Experience partnering closely with Sales or Account Executives in a shared ownership model of account growth
• Strong ability to manage complex delivery programs while maintaining focus on customer outcomes and business impact
• Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders
• Technical aptitude in data, AI/ML, or related domains
• Ability to navigate ambiguity, solve problems proactively, and operate effectively in a fast-paced environment
• Familiarity with usage-based or consumption-driven business models
• Willingness to travel up to 20% based on customer needs

Bonus points for:

• Experience working with AI/ML workflows, data annotation, or data infrastructure
• Experience driving net revenue retention (NRR) or expansion metrics in enterprise accounts

All offers 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.

We’re looking for a Software Engineer in Test who thrives in fast-moving, high-intensity environments and enjoys turning ambiguous problems into reliable, scalable systems. In this role, you’ll go beyond traditional QA—fine tuning test infrastructure, tooling, and processes that directly accelerate engineering velocity and product quality.

What You’ll Do

• Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
• Design, implement, and maintain automated testing systems 
• Create internal tools that improve developer productivity and shorten iteration cycles
• Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
• Drive best practices in testing, observability, and release confidence across the engineering org

What We’re Looking For

• • 3-5 years experience scaling test frameworks, infrastructure, or developer tooling
  • Proficiency in TypeScript and/or Python
  • Experience with CI/CD systems such as CircleCI, Buildkite, or similar tools
  • Ability to operate in ambiguous environments and bring structure to complex problems
  • A systems mindset—you think in terms of reliability, scalability, and long-term maintainability

Why Snorkel AI

• Work at the forefront of AI development and evaluation
• Collaborate with top AI labs and innovative enterprise teams
• Build systems that directly impact how cutting-edge AI is developed and deployed

The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.

You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company

What You'll Do

• Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
• Design and implement event-driven data flows using event brokers,  CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
• Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
• Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
• Contribute to infrastructure cost visibility and optimization -  query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

What You'll Bring

• 8+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
• Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
• Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
• Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
• Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
• Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
• Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
• Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.

Nice to Have

• Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
• Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
• Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
• Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
• Experience with Ray for distributed compute workloads.

The Role

This role is for a designer who gets better by building. You use real work to learn, refine, and raise the bar.

You build working prototypes with AI tools and code. Your prototypes connect to real systems and help engineering move faster with higher quality.

You understand how AI systems behave. You have worked with prompting, evaluation, and feedback loops. You can look at an output and explain what went wrong, whether it comes from a prompt, the data, or the system.

You stay close to the field. You follow new work in AI and want to work alongside researchers at the frontier.

You think about how AI changes how teams work. You use these tools to strengthen the team, not just speed up your own work.

You shape how design influences system behavior. You define how users give feedback, how teams measure quality, and how the system handles edge cases.

You spend time with users to find real problems. You watch where workflows break, slow down, or produce poor results. You turn those observations into testable flows that improve outcomes.

You have worked on technical products or two sided marketplaces. You understand how contributors, ops, and engineers depend on each other. You design for the full system.

You care about craft. You push the work until it feels clear, consistent, and ready for real use.

What You Bring

• Build prototypes using AI tools
• Use tools like Claude or Cursor to test and refine ideas
• Understand prompting, evaluation, and model quality in practice
• Know how to design human in the loop systems and feedback flows
• Follow AI research and enjoy working with highly technical teams
• Have worked with messy data, edge cases, and real workflows
• Bring strong visual and interaction design craft
• Work closely with engineers and help move work into production

Requirements

• 6+ years in product design
• Experience with AI, data, or complex systems
• Portfolio with shipped work or working prototypes

About the Role

Snorkel AI is hiring a Technical Delivery Manager (TDM) to run our highest-stakes Data-as-a-Service programs end-to-end. 

You operate like the CEO of your program inside Snorkel, owning its end-to-end success. You are accountable for delivering high-quality outputs on time, while managing revenue and margin as your core metrics. You are responsible for the strategy and execution to consistently maintain and elevate our quality standards, and are the single point of accountability for what ultimately ships and delivers impact for the customer.

The role sits at an intersection Snorkel has lived at since its inception: applied AI rigor, deep domain expertise, and the operational craft of executing complex programs at scale. You are the person who translates a technical requirement into an executable program and delivers it. That means a point of view on what makes training data and evaluation land, the domain fluency to design tasks that produce signals, and the operational muscle to run a multi-million-dollar program at the scale of thousands of expert contributors.

We seek an operator skilled in driving excellence through effective team coordination, monitoring key performance metrics to inform precise action plans, and managing both internal and external communications. Strategic AI Leads are the connective tissue across Clients, Snorkel's Forward Deployed Engineers, Delivery Operations and Researchers, and the Expert Contributor Network - accountable for outcomes, not activity.

Ambiguity is the default, requirements shift week to week, and the best TDMs design the system while running it. If you have a founder's instinct, a consultant's rigor, and an operator's bias for action, this is one of the most exciting seats in AI today.

What You'll Do

• Own the program like a CEO. Own the P&L for your pipeline: accountable for quality, timelines, revenue, margin, and budget. Forecast accurately, surface risks early, and manage spend against plan.
• Be the single-threaded owner across stakeholders. Your program touches client research and engineering teams, Snorkel's own forward deployed engineers, researchers, and growth partners, and the Expert Contributor Network supporting data production. You are the single person who keeps all of that aligned, accountable, and informed. 
• Design the training data program. Translate what the model needs to learn into task definitions, quality rubrics, evaluation criteria, and RL environments. Decide what "great" looks like before expert contributors start producing it.
• Develop and scale the Expert Contributor Network. Define the contributor profile your program needs, work with cross-functional partners to recruit them, and design the training and QA systems that ramp them quickly. Maintain quality standards as volume grows from hundreds to thousands of contributors.
• Build the system from scratch. Translate vague, evolving client requirements into crisp workstreams, success criteria, and milestones. Stand up the workflows, quality systems, and operating rhythms where none exist, then harden and automate them as pipeline scales.
• Monitor, measure, and mitigate. Instrument each program with the right dashboards, KPIs, and a live risk register. Catch regressions and surface risks before clients do. Use data, not intuition, to drive decisions, forecasts, escalations, and mitigations.
• Drive internal and external comms. Set the narrative. Keep Snorkel leadership, client executive sponsors, and the working team aligned through clear, written-first updates that surface progress, risks, and asks without filler.
• Manage the data flows under the hood. Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, Python, and query management to pull, push, and consolidate data from wherever it lives.
• Operate with urgency. Move fast, hold the quality bar, and bias toward shipping. Our clients are racing to ship better models, and our pace has to match, without ever dropping the standard that sets Snorkel apart.

What You'll Bring

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent hands-on experience
• 5+ years in a role where you owned outcomes end-to-end: technical program/project management, founding/early-stage operator, management consulting, or technical product management
• A proven track record of building something from scratch in a resource-constrained, fast-changing environment, and adapting as the ground shifts
• Analytical by default, with hands-on comfort with SQL, JSON and Python when you need to dig into data yourself.
• ML intuition to reason about training data quality, evaluation design, and reward shaping for RL environments - and to engage as a peer with researchers at frontier labs.
• Exceptional written and verbal communication; comfort operating with C-level sponsors and individual contributors in the same day
• A genuine tolerance for ambiguity and a strong bias toward action

Bonus Points

• Top-tier management consulting or MBA background with a record of turning broad strategic goals into measurable outcomes
• You've been a founder, early-stage operator, or first hire into a function, and you want that kind of ownership again
• Experience running data labeling, SFT, RLHF, or RL environment, especially for frontier labs
• Experience building or managing distributed networks of subject-matter experts or expert contributors (dozens to hundreds/thousands of contributors)
• Exposure to reward design, model evaluation, or post-training pipelines for LLMs
• Experience running commercial or revenue-owning programs at a startup or high-growth organization
• Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) to instrument projects and communicate insights to diverse audiences
• Fluent in Agile methodologies and tools like Jira and Confluence

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

Pay Range: $150,000-$210,000

#LI-GM1

About the Role

Snorkel AI is hiring a Strategic AI Lead (SAIL) to run our highest-stakes Data-as-a-Service programs end-to-end. 

You operate like the CEO of your program inside Snorkel, owning its end-to-end success. You are accountable for delivering high-quality outputs on time, while managing revenue and margin as your core metrics. You are responsible for the strategy and execution to consistently maintain and elevate our quality standards, and are the single point of accountability for what ultimately ships and delivers impact for the customer.

The role sits at an intersection Snorkel has lived at since its inception: applied AI rigor, deep domain expertise, and the operational craft of executing complex programs at scale. You are the person who translates a technical requirement into an executable program and delivers it. That means a point of view on what makes training data and evaluation land, the domain fluency to design tasks that produce signals, and the operational muscle to run a multi-million-dollar program at the scale of thousands of expert contributors.

We seek an operator skilled in driving excellence through effective team coordination, monitoring key performance metrics to inform precise action plans, and managing both internal and external communications. Strategic AI Leads are the connective tissue across Clients, Snorkel's Forward Deployed Engineers, Delivery Operations and Researchers, and the Expert Contributor Network - accountable for outcomes, not activity.

Ambiguity is the default, requirements shift week to week, and the best SAILs design the system while running it. If you have a founder's instinct, a consultant's rigor, and an operator's bias for action, this is one of the most exciting seats in AI today.

What You'll Do

• Own the program like a CEO. Own the P&L for your pipeline: accountable for quality, timelines, revenue, margin, and budget. Forecast accurately, surface risks early, and manage spend against plan.
• Be the single-threaded owner across stakeholders. Your program touches client research and engineering teams, Snorkel's own forward deployed engineers, researchers, and growth partners, and the Expert Contributor Network supporting data production. You are the single person who keeps all of that aligned, accountable, and informed. 
• Design the training data program. Translate what the model needs to learn into task definitions, quality rubrics, evaluation criteria, and RL environments. Decide what "great" looks like before expert contributors start producing it.
• Develop and scale the Expert Contributor Network. Define the contributor profile your program needs, work with cross-functional partners to recruit them, and design the training and QA systems that ramp them quickly. Maintain quality standards as volume grows from hundreds to thousands of contributors.
• Build the system from scratch. Translate vague, evolving client requirements into crisp workstreams, success criteria, and milestones. Stand up the workflows, quality systems, and operating rhythms where none exist, then harden and automate them as pipeline scales.
• Monitor, measure, and mitigate. Instrument each program with the right dashboards, KPIs, and a live risk register. Catch regressions and surface risks before clients do. Use data, not intuition, to drive decisions, forecasts, escalations, and mitigations.
• Drive internal and external comms. Set the narrative. Keep Snorkel leadership, client executive sponsors, and the working team aligned through clear, written-first updates that surface progress, risks, and asks without filler.
• Manage the data flows under the hood. Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, Python, and query management to pull, push, and consolidate data from wherever it lives.
• Operate with urgency. Move fast, hold the quality bar, and bias toward shipping. Our clients are racing to ship better models, and our pace has to match, without ever dropping the standard that sets Snorkel apart.

What You'll Bring

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent hands-on experience
• 5+ years in a role where you owned outcomes end-to-end: technical program/project management, founding/early-stage operator, management consulting, or technical product management
• A proven track record of building something from scratch in a resource-constrained, fast-changing environment, and adapting as the ground shifts
• Analytical by default, with hands-on comfort with SQL, JSON and Python when you need to dig into data yourself.
• ML intuition to reason about training data quality, evaluation design, and reward shaping for RL environments - and to engage as a peer with researchers at frontier labs.
• Exceptional written and verbal communication; comfort operating with C-level sponsors and individual contributors in the same day
• A genuine tolerance for ambiguity and a strong bias toward action

Bonus Points:

• Top-tier management consulting or MBA background with a record of turning broad strategic goals into measurable outcomes
• You've been a founder, early-stage operator, or first hire into a function, and you want that kind of ownership again
• Experience running data labeling, SFT, RLHF, or RL environment, especially for frontier labs
• Experience building or managing distributed networks of subject-matter experts or expert contributors (dozens to hundreds/thousands of contributors)
• Exposure to reward design, model evaluation, or post-training pipelines for LLMs
• Experience running commercial or revenue-owning programs at a startup or high-growth organization
• Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) to instrument projects and communicate insights to diverse audiences
• Fluent in Agile methodologies and tools like Jira and Confluence

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

Pay Range: $150,000-$210,000

#LI-GM1

About the Team 

We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.

About the Role

• Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
• Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
• Generate and refine synthetic data at massive scale
• Create and evaluate agentic systems that reason, act, and improve over time
• Provision RL training environments and simulation frameworks for next-generation AI agents
• Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
• Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
• Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

About You

• 5 years of experience building customer-facing, cloud-native software systems
• Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
• Experience with distributed computing, large-scale data systems, or orchestration frameworks
• Experience at high-growth technology startups
• Experience building software products for large enterprise customers
• Expertise in Python and cloud platforms (AWS, GCP, or Azure)
• Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage

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.

The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.

You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company

What You'll Do

• Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
• Design and implement event-driven data flows using event brokers,  CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
• Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
• Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
• Contribute to infrastructure cost visibility and optimization -  query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

What You'll Bring

• 4+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
• Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
• Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
• Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
• Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
• Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
• Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
• Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.

Nice to Have

• Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
• Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
• Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
• Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
• Experience with Ray for distributed compute workloads.

About the Role

We are seeking a Security Engineer to evolve Snorkel's security posture across our cloud infrastructure, developer platform, and product ecosystem. You will partner with the security lead to secure cloud environments, build security automation, guide cross-functional initiatives, and embed security into our engineering workflows.

You will work across infrastructure, platform, product, and application teams to ensure our systems scale securely and meet the bar required for modern, cloud-native, compliance-focused environments. This is a high-impact role where your ability to work effectively with others matters as much as your technical depth.

You do not need to meet every requirement listed below to apply. If you bring solid fundamentals in cloud security and are motivated to grow into the gaps, we encourage you to apply.

Key Responsibilities

• Build and scale Infrastructure as Code (IaC) governance strategies that embed security while enabling developer velocity
• Operate and tune Cloud Security Posture Management (CSPM) tooling and coordinate remediation through engineering teams
• Investigate security events, triage incidents, identify root causes, and own remediation through resolution
• Architect secure AWS cloud account structures — landing zones, multi-account patterns, network segmentation, and cross-account role strategies
• Design and implement network security architectures using security groups, Network Access Control Lists (NACLs), subnetting, routing layers, and egress controls
• Establish secure-by-default design patterns across Kubernetes and containerized workloads
• Design, maintain, and govern Identity and Access Management (IAM) role & policy architectures for both human and machine identities
• Implement encryption everywhere — data-at-rest, data-in-transit, and key rotation using AWS Key Management Service (KMS) and related services
• Conduct threat modeling, architecture reviews, and secure design assessments for new and existing systems
• Assess and secure AI/ML product architectures, including trust boundaries, API boundaries, and data flow through training and inference pipelines
• Build secure automation through Python, AWS-native services, and policy-as-code frameworks
• Own complex security projects end-to-end — from discovery and design docs to implementation, rollout, and long-term ownership
• Align cloud security strategy with relevant frameworks (NIST CSF, ISO 27001, SOC 2, CIS benchmarks)

Professional Skills

Security at a growing startup is not a solo effort. This role succeeds by making the entire organization more secure through the people and teams around you. These skills are not secondary to technical ability — they shape whether security work actually lands and delivers lasting impact.

Communication & Influence

• Communicates security risks, trade-offs, and recommendations clearly to both technical and non-technical audiences
• Writes concise, structured technical documentation — design docs, runbooks, postmortems, and policy proposals that others can act on without follow-up clarification
• Builds alignment on security priorities across teams without relying on positional authority — a small security team cannot mandate adoption; it must earn buy-in

Cross-Functional Partnership

• Builds trust with engineering, product, and infrastructure teams by proposing solutions that balance security posture with developer velocity — security controls that teams resist or work around deliver zero impact
• Defaults to collaboration over enforcement — works with teams to find the right path forward rather than handing down requirements
• Seeks to understand the workflows, constraints, and incentives of partner teams before proposing changes — the best security solution is one the team will actually implement and maintain

Ownership & Judgment

• Comfortable with broad ownership, context-switching, and exercising judgment without a large support structure — this role requires self-direction, not delegation
• Exercises sound judgment on when to push hard on a security requirement versus when to accept managed risk with compensating controls
• Balances thoroughness with pragmatism — delivers iterative security improvements that compound over time rather than waiting for perfect solutions that never ship
• Manages multiple concurrent initiatives with clear ownership, status communication, and escalation when blocked

Teaching & Growth

• Multiplies impact by making others better — equips engineers across the organization to build securely by default through training, code review feedback, and accessible documentation
• Frames security guidance as enablement rather than enforcement — helps teams understand the why behind requirements so they can make sound security choices on their own
• Consistently seeks feedback, stays current on evolving threats and technologies, and treats gaps in knowledge as opportunities — a coachable mindset and commitment to continuous learning are essential in a domain that changes constantly

Technical Skills & Experience

The skills below are grouped into what we consider foundational for this role and additional areas where you will contribute and grow. Depth across every area is not expected — we value solid fundamentals and the ability to learn.

Foundational

• Programming skills in Python, Go, or similar languages, with the ability to build security tooling and automation
• Experience building and operating systems at scale in cloud-native, containerized environments
• Proficiency with Infrastructure as Code (Terraform): writing modules, CI/CD pipelines, deployment governance, and security reviews
• AWS cloud architecture: multi-account strategies, landing zones, environment isolation, and cross-account role design
• Identity and Access Management (IAM): role and policy architectures, least privilege, human and machine identity patterns
• Network security: security groups, Network Access Control Lists (NACLs), Virtual Private Cloud (VPC) design, subnet segmentation, routing layers, and egress controls

Additional Areas You'll Contribute To

• Threat modeling and secure design assessments for new and existing systems
• Encryption and key management: data-at-rest, data-in-transit, key rotation using AWS KMS, Secrets Manager, or HashiCorp Vault
• Container and OS hardening: secure base images, hardened Amazon Machine Images (AMIs), runtime protections
• Cloud Security Posture Management (CSPM) tooling — deployment, tuning, and coordinating remediation workflows through engineering teams
• Security event investigation: triage, root cause assessment, and remediation ownership
• Vulnerability management lifecycle: scanning, prioritization, tracking, and closure
• AI/ML security: awareness of risks specific to AI/ML systems (prompt injection, data poisoning, model extraction, training data protection) and ability to assess trust boundaries in AI product architectures
• Compliance and security frameworks: NIST CSF, ISO 27001, SOC 2, CIS benchmarks
• Designing secure architectures for high-growth SaaS or cloud-native environments

Preferred Experience (Nice-to-Have)

• Secure development lifecycle (SDLC) practices: static analysis (SAST), software composition analysis (SCA), software bill of materials (SBOM) automation, secrets scanning, or bug bounty program management
• Incident response: digital forensics and incident response (DFIR), forensic investigation, or on-call security operations
• Detection engineering: Security Information and Event Management (SIEM) platforms, correlation rules, alert tuning, or Security Orchestration, Automation and Response (SOAR) playbooks
• Offensive security: penetration testing, red team exercises, or adversarial testing of AI systems
• Multi-cloud environments (GCP, Azure) in addition to AWS
• Zero-trust architecture practices and secure workspace design
• Data loss prevention (DLP) strategies for protecting training data and customer data

What You'll Impact

You will embed security from code to cloud — ensuring our systems, data, customer environments, and developer workflows operate securely at scale. This role carries broad influence, high ownership, and the opportunity to shape modern cloud security architecture across the organization.

About the Role

Snorkel AI is hiring a Director, Forward Deployed Researcher on the Data-as-a-service team. Your team will partner directly with frontier AI labs on their hardest data problems: scoping training data needs, designing RL environments, developing evaluation frameworks, and translating customer research objectives into actionable technical plans.

This is a player-coach role. Roughly half your time goes to people leadership (hiring, coaching, developing your team) and the other half to hands-on technical work on strategic accounts. You set the technical bar for spec quality and build the playbooks and processes that let the team scale. You influence how the function operates, from process and standards to team culture.

You partner closely with AE leadership on pipeline strategy, account coverage, and SE allocation. You also work cross-functionally with Delivery, Research, and Engineering to ensure smooth handoffs. The right person for this role can hold their own with frontier AI researchers, has strong presales instincts, and wants to build a team.

Main Responsibilities

• Recruit, hire, and develop the forward deployed research team, coaching the team on technical quality, customer engagement, and career growth
• Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables
• Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline forecasting
• Establish team processes and playbooks for discovery, spec development, and knowledge sharing
• Lead technical conversations on select strategic accounts, including scoping, solution design, and partnership with frontier AI research teams
• Serve as escalation point for technically complex or high-stakes customer situations

Preferred Qualifications

• 8+ years of experience in applied ML, AI solutions engineering, technical presales, or research-intensive customer-facing roles
• 5+ years managing or leading technical individual contributors, ideally in a presales or solutions engineering org
• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Track record of hiring and developing technical talent
• Experience operating against revenue or pipeline goals in a GTM organization
• Excellent communication skills, able to coach a team, partner with sales leadership, and engage credibly with frontier AI researchers
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field

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

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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%.

Preferred Qualifications

• B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
• 8+ 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.

Compensation range is $190K - $300K 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

#LI-CG1

We are seeking a high-impact IT Operations Engineer who is as comfortable in the weeds of troubleshooting as they are designing the future of our automation.  As we scale toward major growth and security compliance milestones, we need a technical enabler – someone who views “IT Support” not as a burden, but as an opportunity to identify friction and automate it out of existence.

You will be the primary “boots on the ground” for our tech stack, ensuring that as we grow, our system remains invisible, secure, and seamless.

What You will Do

• The Ultimate Enabler: Provide Tier 1/2/3 support for our global team. You are the "final stop" for complex macOS/Windows issues, network drops, and SaaS integrations. If it’s broken, you fix it; if it’s repetitive, you automate it.
• Scale through Automation: Build and maintain the "glue" between our tools. You will use AI agents, API scripts (Python/Bash), and Okta Workflows to ensure onboarding, offboarding, and access requests happen in seconds, not hours.
• Security & Compliance "Doer": Lead the technical execution for SOC2 compliance. You will implement the controls in our tech stack (e.g. Okta, Jamf Pro,  Crowdstrike, etc.), perform access reviews, and ensure our Cisco Meraki network is hardened and audit-ready.
• Full-Stack Management: Own the daily health of our core tools: Google Workspace, Slack Enterprise Grid, Zoom, and Atlassian (Jira/Confluence).
• AI Implementation: Proactively improve our AI-driven solutions (like LLM-powered support bots) to enable self-service for employees, allowing you to stay focused on high-value scaling projects.
• Office & AV Infrastructure: Maintain and optimize local office networking (Meraki) and high-stakes conference room AV to ensure a frictionless "it just works" experience for the team.

Who You Are

• A "Bias for Action" Engineer: You don’t wait for a ticket to tell you something is wrong. You see a bottleneck and you build a solution.
• 6+ Years of IT Excellence: You have deep roots in modern, cloud-first startup environments.
• The Stack Expert: You have "system administrator" experience with Okta, Jamf Pro, Crowdstrike, Cisco Meraki, and Google Workspace. * Scripting & API Savvy: You are proficient in Python or Bash. You don't just use apps; you connect them via APIs to create seamless workflows.
• Customer-Centric: You have a "no task too small" attitude. You take pride in helping a teammate solve a technical hurdle so they can get back to building.
• Clear Communicator: You can translate "Technical Debt" into "Business Risk" for leadership and provide empathetic, clear instructions to non-technical users.

Why Join Us?

• Direct Impact: You are joining at a stage where your decisions on automation and security will define the company’s foundation for years to come.
• Modern Tech: No legacy servers or 20-year-old hardware. We use the best tools available.
• Growth: As the company scales, you will have the opportunity to grow into a leadership or specialized architectural role.

About the Role

Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization.

This team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale.

You will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable.

This is a hands-on, player coach role where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects.

You’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads.

Main Responsibilities

• Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution
• Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence
• Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks
• Drive development of ML-assisted and HITL workflows that improve the speed, scalability, and reliability of data production
• Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery
  Develop scalable internal tooling and workflows for orchestration, monitoring, and delivery, reducing bottlenecks and improving throughput
• Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities

What We’re Looking For

• 6+ years of experience in AI/ML/GenAI engineering, forward deployed engineering, solution engineering or applied AI roles, with strong hands-on technical depth
• 2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
• Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
• Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs. Has written code in the last 2 years
• Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
• Strong systems thinking — ability to design scalable, reusable solutions rather than one-off implementations
• Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams. Start-up or growth-stage experience is strongly preferred.
• Customer-facing, consulting, or services experience is strongly preferred

Nice to have:

• Experience with human-in-the-loop (HITL) systems, data annotation workflows, or data-centric AI approaches.
• Familiarity with synthetic data generation or model-assisted labeling techniques.
• Experience building internal platforms or tooling for delivery or operations teams

Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to find a function and have a broad, lasting impact across the company.

About the Role

We are hiring a senior engineer to join our Developer Experience (DevEx) team — a small, high-impact group responsible for elevating how engineering builds, tests, ships, and collaborates. This role is ideal for someone who wants to own strategy, influence engineering-wide workflows, and grow into a Tech Lead Manager (TLM)

You’ll shape our AI-native development environment, modernize CI/CD platforms (CircleCI, Buildkite, GitHub Actions), integrate AI SRE tooling, and mentor engineers across levels. Your work will directly accelerate developer velocity, reliability, and product quality across the company.

What You’ll Do

• Set the strategy and architecture for our local development environment, build systems, testing frameworks, CI/CD pipelines, and AI-assisted coding workflows (Claude Code, Claude MD-in-repo workflows)
• Own the CI health and experience, maintain metrics to track CI health, developer productivity, effective usage of AI and build roadmap to constantly improve
• End-to-end ownership of our release pipeline and lead the transition from scheduled releases to a robust, automated continuous deployment framework
• Deep experience and opinion in standardizing for effective usage of AI coding and reviewing agents for faster development, review and incident investigation
  
  
• Ship a clear multi-quarter DevEx roadmap and lead cross-team adoption
• Mentor and technically guide engineers within and outside of the team with best practices to improve quality and velocity; potential to grow into TLM ownership as the team grows
• Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.
  
  
• Proactively identify bottlenecks and drive large-scale DX initiatives — e.g., cutting flaky tests, improving PR iteration speed, increasing automated test coverage, and reducing infra cost
  
  
• Present plans, tradeoffs, and progress to engineering leadership; serve as a thought partner for org-wide developer experience strategy.
  
  
• Champion experimentation and roll-out of AI-native development workflows, coding assistants, test-generation tools, and autonomous CI bots.
  
  

What You’ll Bring

• 8+ years of software engineering experience, including deep ownership of build, test, or CI/CD systems
• Proven experience owning and evolving CI/CD systems for large-scale codebases, focusing on reliability, scalability, and developer productivity
  
  
• Demonstrated experience defining and executing roadmaps for developer experience initiatives and internal engineering tooling
  
  
• Deep understanding of how to effectively integrate AI agents into the development workflow to accelerate engineering velocity and improve developer experience.
  
  
• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred)
  
  
• Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
  
  
• Excellent communication skills; able to translate technical constraints into clear plans for non-technical audiences
  
  
• Comfortable working with:
  
  
• Infra & deployment technologies: Terraform, Docker, Kubernetes
  
  
• CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm
  
  
• Build systems like Poetry, pip, uv
  
  
• Experience designing and operating large-scale developer workflows and improving engineering best practices.
  
  

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.

Account Executive – Federal

Snorkel AI is seeking an exceptional Account Executive to help federal agencies accelerate the deployment of mission-ready AI systems.

In this role, you will partner with government organizations to operationalize AI capabilities using Snorkel’s data-centric development approach. These systems support mission-critical workflows such as intelligence analysis, operational planning, threat detection, and decision support.

Unlike traditional enterprise software sales, Snorkel engagements focus on delivering AI capabilities and measurable outcomes. You will work closely with AI engineers, solution architects, and mission experts to translate operational challenges into scalable AI solutions for federal customers.

What You’ll Do

Drive strategic engagements across federal agencies by identifying high-value AI opportunities and translating mission challenges into deployable AI capabilities. You will manage complex, multi-stakeholder sales cycles involving technical teams, program leadership, and procurement organizations.

Successful candidates build credibility with both technical and mission stakeholders, develop strong territory strategies, and lead opportunities from initial engagement through contract award. This role requires disciplined pipeline management, strong business case development, and the ability to navigate complex federal buying environments.

Required Experience

Federal / National Security Market

• 5+ years experience selling into federal agencies, including defense or national security organizations
• Familiarity with federal procurement and government acquisition processes
• Understanding of mission environments such as intelligence analysis, operational planning, cyber operations, or investigative workflows
  
  

AI, Data, or Technical Solutions

• Comfort engaging technical stakeholders around AI/ML, data engineering, analytics platforms, or AI evaluation frameworks
• Ability to communicate the value of modern AI development approaches and data-driven model evaluation
  
  

Enterprise Sales Performance

• Consistent top-tier sales performance
  Experience selling complex enterprise or technical solutions
• Demonstrated ability to build and close $1M+ opportunities with strong pipeline generation discipline

Bonus Qualifications

• Active U.S. security clearance (Secret or TS/SCI)
• Experience supporting AI, data analytics, or advanced technology programs
• Prior military, intelligence, or national security mission experience
• Experience selling outcome-based solutions or technical services engagements
  
  

Why Snorkel AI

The future of AI is not just larger models — it is trusted, mission-ready systems built on high-quality data and rigorous evaluation.

Snorkel AI is pioneering data-centric AI development, enabling organizations to rapidly build, test, and deploy AI systems for real operational environments. Our technology already supports some of the most advanced AI initiatives across government and industry.

Location

Washington, DC / Northern Virginia preferred
Remote with regular engagement across federal agencies

About the Role

We are hiring a Senior Strategy & Operations Manager to partner closely with Snorkel’s Delivery organization within our rapidly scaling Data-as-a-Service (DaaS) business. Delivery oversees three core teams and is responsible for executing every project across DaaS. This role will serve as a strategic and operational partner to the Head of Delivery, ensuring the organization runs on time, operates with rigor, and scales efficiently as complexity grows.

You will drive cross-functional initiatives, own core operating rhythms, and ensure that OKRs, planning cycles, and execution tracking are aligned and progressing. While you will be deeply embedded in Delivery, you will sit within a centralized Strategy & Operations team reporting into the GM of DaaS, enabling both business-wide visibility and operational consistency across functions.

This is a high-impact role suited for a strong operator who thrives in ambiguity, brings structure to fast-moving environments, and can balance strategic thinking with hands-on execution.

What You’ll Do

• Partner directly with the Head of Delivery to ensure operational clarity, execution rigor, and alignment across the three delivery teams
• Own delivery-related OKRs, tracking, and reporting to ensure goals are clearly defined, measurable, and progressing
• Drive cross-functional initiatives spanning Delivery, Supply, GTM, Innovation, Finance, and Engineering
• Lead annual planning and quarterly business review inputs for Delivery
• Identify execution risks early and proactively surface trade-offs to leadership
• Translate strategic priorities into structured operating plans and measurable milestones
• Step in to own ambiguous workstreams or problem areas and drive them end-to-end
• Serve as a thought partner and executor to Delivery leadership and adjacent teams
• Improve operational processes and create durable systems that reduce friction and increase throughput
• Ensure alignment between business goals and day-to-day delivery execution

Qualifications

• 5+ years of experience in strategy, operations, consulting, or similar roles
• Experience partnering closely with operational leaders in high-growth or complex environments
• Demonstrated ability to drive cross-functional initiatives and deliver outcomes end-to-end
• Strong analytical skills with comfort using data to inform decisions and track performance
• Ability to bring structure and clarity to ambiguous problem spaces
• Proven track record of influencing without authority
• Excellent written and verbal communication skills, with experience presenting to senior stakeholders
• Strong prioritization skills and bias toward action
• Comfortable operating in imperfect systems while building scalable processes
• Entrepreneurial mindset with high ownership and accountability

Bonus Points

• Experience in services, marketplace, or data-driven businesses
• Exposure to delivery, operations, or workforce-based execution models
• Experience supporting planning cycles and executive reporting

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).

About the Team

The Marketing team at Snorkel AI powers the engine behind our brand, community, and go-to-market success. We work cross-functionally with product, sales, and customer teams to build awareness, generate demand, and create experiences that bring our mission — helping frontier labs and enterprises put AI to work with better data — to life.

About the Role

We're looking for a Principal Growth Marketer to reimagine how Snorkel AI generates and accelerates pipeline. This isn't a traditional demand gen role — it's a modern, full-stack growth position for someone who blends creative storytelling with rigorous experimentation and data fluency. You'll build programs that go beyond paid campaigns and MQL handoffs, leveraging product signals, community engagement, thought leadership, and AI-native tooling to reach technical buyers in ways that feel authentic and high-signal. You'll sit at the intersection of marketing, sales, and product to architect growth motions that are as innovative as the technology we build.

This is a hybrid role based in San Francisco.

Responsibilities

• Modern Growth Strategy: Design and own a growth engine that goes beyond traditional demand gen — blending paid, organic, product-led, and community-driven channels into a cohesive, always-on pipeline machine.
• Creative Campaign Development: Conceive and launch campaigns that cut through the noise with technical audiences — think benchmark drops, interactive data playgrounds, developer-first content, and viral research moments, not just gated whitepapers.
• Experimentation & Optimization: Run rapid, structured experiments across the full funnel. A/B test everything from ad creative and landing pages to email sequences and conversion flows. Let the data decide.
• Signal-Based Pipeline Generation: Move beyond MQL-centric models. Build intent-based and signal-driven programs that surface and engage high-fit accounts using product consumption data, research engagement, and third-party intent signals.
• ABM & Personalized Outreach: Partner with sales to run sophisticated, multi-touch ABM plays targeting enterprise and frontier lab accounts with relevant, timely, and genuinely useful content.
• Analytics & Attribution: Partner with Marketing Ops on growth dashboards and reporting. Build a clear picture of what's working, where pipeline comes from, and how to allocate resources for maximum impact.
• AI Tooling: Leverage modern AI tools to scale programs efficiently. Bring a builder's mindset to marketing infrastructure.
• Cross-Functional Growth Loops: Collaborate with product marketing, research, content, and sales to create compounding growth loops where great research fuels great content, which fuels great conversations, which fuels great deals.

About You

You're not a traditional demand gen marketer — you're the next evolution. You think in growth loops, not linear funnels. You're as comfortable writing a compelling campaign brief as you are digging into conversion data or spinning up a new experiment in your marketing stack. You have strong opinions about why most B2B marketing is broken and a track record of doing it differently. You're drawn to technical products, energized by fast-moving teams, and motivated by building something genuinely new.

Requirements

• 8-10 years of experience in growth marketing, demand generation, or performance marketing — ideally in B2B technology, developer tools, or AI/ML
• A track record of building and scaling programs that directly and measurably drive pipeline and revenue, not just top-of-funnel vanity metrics
• Experience moving beyond traditional MQL models toward signal-based, intent-driven, or product-led growth motions
• Deep comfort with data — you can build dashboards, run experiments, and make resource allocation decisions grounded in analytics
• Hands-on proficiency with modern marketing and sales tools (e.g., Salesforce, Marketo/HubSpot, 6sense or Demandbase, Google Analytics, Looker) and a willingness to adopt AI-powered tooling
• Experience with account-based marketing strategies targeting enterprise or highly technical buyer personas
• Strong creative instincts — you can develop campaigns that feel fresh, relevant, and authentic to developer and data science audiences
• Comfort operating in ambiguity and moving fast in a high-growth startup environment
• A genuine passion for AI and an understanding of (or eagerness to learn) the AI/ML landscape, including benchmarks, model evaluation, and data-centric AI

About the Team

The Marketing team at Snorkel AI powers the engine behind our brand, community, and go-to-market success. We work cross-functionally with product, sales, and customer teams to build awareness, generate demand, and create experiences that bring our mission — helping frontier labs and enterprises put AI to work with better data — to life.

About the Role

We're looking for a  Lead Field Marketing & Events to own and execute Snorkel AI's in-person and hybrid event strategy. This is a high-impact IC role for someone who thrives on building memorable, well-orchestrated experiences — from flagship conferences to intimate community meetups. You'll partner closely with sales, partnerships, research, and the broader marketing team to drive lead generation, strengthen our AI community, and amplify Snorkel's presence in the market.

This role is based in San Francisco, Bay Area.

Responsibilities

• Event Strategy & Execution: Plan, manage, and execute a full calendar of events including industry conferences, trade shows, Snorkel-hosted meetups, our annual user conference, and partner co-marketing activations.
• Field Marketing Programs: Design and run regional field programs that support pipeline generation and accelerate deals in partnership with the sales team.
• AI Community Engagement: Build and nurture Snorkel's presence in the broader AI and ML community through meetups, developer-focused events, and grassroots activations that foster genuine connection and dialogue.
• Partner Co-Marketing: Collaborate with technology and channel partners on joint events and co-branded experiences that extend reach and credibility.
• Budget & Vendor Management: Own the events budget, negotiate contracts with venues and vendors, and ensure every dollar drives measurable impact.
• Cross-Functional Coordination: Work closely with demand generation, content, product marketing, sales, and design to ensure events are tightly integrated into broader campaigns and GTM motions.
• Measurement & Optimization: Define KPIs for each event, track performance (leads, pipeline influence, engagement), and apply learnings to continuously raise the bar.

About You

You're equal parts creative producer and detail-obsessed operator. You have an intuition for what makes a field experience feel vibrant, engaging, and worth showing up to — and the organizational rigor to pull it off flawlessly. You're passionate about AI and technology, energized by the pace of a high-growth startup, and motivated by building community as much as building pipeline.

Requirements

• 5–7 years of experience in field marketing, event marketing, or experiential marketing in B2B technology, SaaS, or AI/ML
• Proven track record of planning and executing events end-to-end — from large-scale conferences and trade shows to curated executive dinners and community meetups
• Experience supporting sales pipeline goals through field programs and regional activations
• Exceptional organizational skills and attention to detail, with the ability to manage multiple events and workstreams simultaneously
• Strong cross-functional collaboration skills — comfortable partnering with sales, partnerships, product, and creative teams
• A sharp eye for experience design — you care deeply about the attendee journey, from signage and swag to content and conversation flow
• Familiarity with event management platforms, CRM tools (e.g., Salesforce), and marketing automation systems
• Experience with community-building programs, developer events, or technical audiences is a strong plus
• A genuine interest in artificial intelligence and a desire to be part of a company shaping the future of enterprise AI

About the Role

We are hiring a Revenue Operations Lead to serve as a strategic operational partner to our GTM leadership as we scale to the next stage of growth. This role sits at the intersection of strategy, planning, and execution. You will partner closely with leaders across Sales, Solutions Engineering, Customer Success, and Delivery to translate company growth goals into operational plans, performance frameworks, and analytical insights that ensure our GTM motion is predictable, scalable, and data-driven. You will own and run the operating rhythm of the revenue organization, ensuring leaders have the visibility, discipline, and insights needed to execute against growth targets.

This role is ideal for someone who thrives in ambiguity, influences senior stakeholders with data-driven insights, and takes pride in building rigorous operational foundations for high-growth organizations. 

What You'll Do

Strategy & Planning:

• Lead key planning processes including territory design, segmentation, and quota allocation
• Build and maintain capacity and coverage models across sales and services teams
• Partner with Finance on headcount planning and revenue modeling
• Design and administer variable compensation plans, including incentive structures, accelerators, and SPIFFs that align sales behavior with company goals

Revenue Performance & Forecasting: 

• Own end-to-end forecasting and pipeline management across business units
• Ensure strong pipeline hygiene, deal progression, and inspection discipline
• Track performance against plan and drive initiatives with GTM leaders to address risks or gaps
• Partner with Finance and GTM leadership to maintain high-quality bookings and revenue forecasts

Business Insights & Decision Support: 

• Define and maintain the metrics, dashboards, and reporting frameworks used to run the business
• Surface trends across the customer lifecycle including pipeline generation, sales execution, delivery performance, and expansion
• Support executive decision-making by translating complex data into clear, actionable recommendations
• Establish standards for data quality, reporting consistency, and operational processes

Cross-Functional Collaboration: 

• Partner with Marketing, Finance, Sales, Customer Success, and Delivery to ensure GTM initiatives are well-coordinated and effectively executed
• Work with the Revenue Architecture and Data team to translate operational needs into scalable systems and workflows across CRM, forecasting, and reporting tools
• Lead through influence, driving adoption of processes, tools, and reporting standards across teams
• Reinforce a strong operating cadence and culture of accountability across the revenue organization

What We're Looking For

• 8-12+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy at high-growth technology companies
• Experience supporting enterprise sales organizations and services delivery models
• Strong expertise in forecasting, pipeline management, capacity modeling, and designing sales incentive and variable compensation programs
• Excellent communication skills, with the ability to influence senior GTM leaders through clear data-driven insights
• Comfort operating in a fast-paced, ambiguous environment, balancing strategy with hands-on execution
  
  

The Role

We are seeking an experienced product manager to own our expert contributor product ecosystem. The ideal candidate has led product initiatives within fast-moving, real-world marketplaces where supply and demand must be continuously balanced, operational efficiency is critical, and user experience directly impacts growth. They understand how to build and optimize multi-sided marketplaces that maintain healthy economics, drive sustained engagement and retention, and deliver reliable, high-quality outcomes at scale.

In this role, you will define product strategy, build features, and run experiments that optimize marketplace outcomes, driving matching efficiency, fulfillment quality, conversion, retention, and unit economics. You will partner closely with Operations, Research, Engineering, Analytics, and GTM teams to refine marketplace dynamics across supply, demand, pricing, incentives, and quality.

Minimum Qualifications

• 7+ years of experience as a Product Manager
• Experience building products for the gig economy, focused on supply-side onboarding, lifecycle management, user experience, quality, and other aspects 
• Strong SaaS UI/UX design sense and product-building experience
• Experience working closely with enterprise customers and channel partners in the enterprise software industry
• Demonstrated ability to hire, develop, and lead world-class product teams from the ground up
• Educational background in computer science or related engineering practice

Preferred Qualifications

• 8+ years of product management experience, including 4+ years working on marketplace, logistics, supply/demand, or growth systems.
• Experience from a marketplace or platform-based organization
• Strong analytical and problem-solving skills, with experience in metrics-driven decision-making, experimentation, and portfolio tradeoffs.
• Demonstrated ability to partner closely with data science and engineering to deliver scalable, measurable outcomes.
• Deep intuition and rigor around user behavior, incentives, and marketplace mechanics.

About Snorkel

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.

Main Responsibilities

• Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
• Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
• Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
• Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
• Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
• Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
• Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
• Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
• Annual travel up to 25%.

Preferred Qualifications

• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
• 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
• Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
• Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
• Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
• Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Ability to work in a fast-paced environment and balance priorities across multiple projects at once.

Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K 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

Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US; New York, NY - Hybrid

#LI-CG1

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.

Main Responsibilities

• Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
• Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
• Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
• Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
• Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
• Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
• Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
• Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
• As part of our team, you will have the opportunity to work on all aspects of complex National Security problems.
• Annual travel up to 25%.

Preferred Qualifications

• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
• 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
• Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
• Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
• Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
• Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
• Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
• Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
• Candidates must have an active TS (Top Secret) Clearance

Compensation range $170K - $300K 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

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