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.

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.

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.

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

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.

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 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.

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

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

#LI-CG1

About the Role

We are seeking a leader to scale a high-performing team of Technical Delivery Managers (TDMs). This is a role that sits at the heart of our Delivery organization, reporting directly to the Head of Delivery. You’ll be responsible for ensuring the success of our technical delivery function, enabling TDMs to execute projects with rigor, quality, and consistency while also elevating operational strategy.

You’ll balance day-to-day project oversight with people leadership, coaching, and long-term capability building. As a player-coach, you’ll manage delivery workflows, mentor TDMs, and partner cross-functionally with research, engineering, product, and customer-facing teams. This is a highly impactful role for someone who thrives at the intersection of execution and strategy, building organizational muscle in a rapidly scaling environment.

What You’ll Do

• Enable delivery success: Provide oversight on complex customer projects, ensuring delivery is on-time, on-budget, and meets the highest standards of quality.
• Lead and manage the TDM team: Recruit, mentor, and develop a group of technical delivery managers, ensuring they are set up for success in delivering high-quality projects.
• Drive operational excellence: Establish best practices, playbooks, and scalable processes across project planning, risk management, and stakeholder communication.
• Partner with leadership: Collaborate closely with the Head of Delivery to translate strategic goals into operational execution and team priorities.
• Cross-functional collaboration: Work with research, engineering, product, and client-facing teams to align delivery activities with broader business goals.
• Champion continuous improvement: Identify opportunities to innovate and streamline delivery methodologies, tooling, and reporting.
• Customer alignment: Support TDMs in interfacing with clients, helping refine scope, manage expectations, and ensure customer success.
• Data-driven management: Use metrics and insights to monitor delivery health, team performance, and customer impact.

What You’ll Bring

• Experience: 5+ years in technical delivery, operations, or program management, with 3+ years managing people or teams.
• Technical acumen: Strong grounding in data systems, analytics, or AI/ML concepts; comfort with SQL, Python, and data workflows is a plus.
• Leadership: Proven track record of developing and scaling high-performing teams in a dynamic environment.
• Project delivery expertise: Ability to oversee complex, multi-stakeholder technical projects from start to finish.
• Communication skills: Strong written, verbal, and visual communication skills to translate technical and operational concepts to diverse audiences.
• Business acumen: Skilled at assessing trade-offs, managing budgets, and aligning resources to business priorities.
• Mindset: Bias to action, resilience in fast-paced environments, and willingness to roll up your sleeves when needed.

Bonus points for:

• Experience working in data, AI/ML, or enterprise SaaS environments.
• Exposure to customer-facing delivery or field operations.

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 $160,000-$240,000 All offers include equity compensation in the form of employee stock options.