Snorkel AI

Role Description 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. - 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. - Contributing to a research agenda that is central to Snorkel's long-term differentiation as a provider of bespoke training data. Qualifications - Deep expertise in reinforcement learning from human or AI feedback, reward modeling, and credit attribution. - Experience training or fine-tuning 30B+ large language models at scale. - Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace. - Solid software engineering fundamentals. - Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.). - Comfort operating in a high-iteration environment with open-ended research questions. - Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered. Requirements - Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling. - Design and build data pipelines that generate high-quality training signals for RL workflows. - Prototype and iterate on end-to-end RL training recipes. - Work closely with research scientists, ML engineers, and delivery teams. - Stay current with the latest developments in large-scale multi-node LLM training and alignment research. - Contribute to Snorkel's research publications and internal knowledge base in RL and model training. Benefits - Market proven solutions and robust funding. - Opportunities to shape priorities and initiatives. - Influence key strategic decisions and directly impact ongoing success. - Support in building your career in an environment designed for growth, learning, and shared success.

Role Description As an Operations Manager at Snorkel AI, you will own the operational backbone of our Solutions AI delivery organization. You will be accountable for: - Putting the right people on the right work - Maintaining clear visibility into execution and financial performance - Driving alignment across pipeline, staffing, delivery, and revenue - Building the systems, processes, and operating rigor required to scale a high-performing Professional Services organization Main Responsibilities - Own capacity planning and staffing for the Solutions AI Engineers in Float, aligning resources to projects based on skills, priority, and availability - Build and maintain capacity and revenue forecasts based on pipeline, active projects, and hiring plans - Run scenario planning to identify hiring needs, capacity gaps, and delivery risks - Translate Salesforce (MEDDIC) pipeline into staffing plans and hiring signals, ensuring alignment between demand and capacity - Partner with Engagement Managers during deal formation to validate scope, resourcing, timelines, and margin assumptions - Ensure accurate timesheet submission, utilization tracking, and operational compliance across the delivery organization - Define standards for project setup, tracking, and reporting to ensure consistent execution across engagements - Establish operating cadences (e.g., weekly project and portfolio reviews) to ensure consistent execution - Maintain accurate project and portfolio reporting, including execution status, burn, margin, capacity, and delivery risks - Partner with Finance to ensure accurate revenue recognition, forecasting, and auditability of delivery data - Own reporting and dashboards for core PS metrics, ensuring a single source of truth across systems - Own data quality and consistency across Float, Jira, and Salesforce - Standardize workflows across Float, Jira, and Salesforce; improve data quality Qualifications - 5+ years in Professional Services Operations, Delivery Operations, or similar - Proven experience with resource planning, capacity management, and utilization - Experience with forecasting, capacity modeling, or financial planning in a services environment - Proficiency with PSA/PM/CRM tools (e.g., Float, Jira, Salesforce) - Strong understanding of PS financials (margin, burn, revenue recognition) and associated tools (Excel/Sheets; dashboarding/reporting) - Experience designing or optimizing workflows across multiple systems (PSA, CRM, project management tools) - Comfortable operating in ambiguity and building processes from the ground up - Candidate must be located in the United States - No Visa Sponsorship Provided Locations - New York - San Francisco Bay Area - Remote - US Salary Range $100,000 — $140,000 USD Benefits 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. Company Description 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.

Role Description 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. Qualifications - 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. Requirements - 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. Benefits - 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. - In Mexico, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. - Pay Range: $3,000-$5,000 per month (USD). Company Description 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.

• 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

Build prototypes using AI tools and collaborate with engineers to enhance production quality. Analyze user workflows to identify issues and improve outcomes, while shaping design to influence system behavior effectively.

Research Scientist, RL Training Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! ABOUT THE ROLE  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.  Salary Range $200,000 - $275,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions—translating research breakthroughs into scalable, practical applications that solve real-world problems. Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what’s possible. We’re looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production. Location: Redwood City or San Francisco OR REMOTE Main Responsibilities - Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge - Prototype and build end-to-end workflows, integrating research ideas into scalable systems. - Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations. - Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research. - Work closely with real-world design partners, testing solutions in applied settings with measurable impact. - Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes. Preferred Qualifications - Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building. - PhD in Computer Science, Machine Learning, AI, or a related field, with 4+ years of industry or postdoctoral research experience; or equivalent experience. - Experience in developing, experimenting, and deploying AI models at scale. - Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.). - Experience with software engineering best practices (e.g., clean coding, modular design, version control). - Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs). - Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges. - A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems. The salary range for this position is $250,000–$350,000, depending on experience, interview performance, and leveling. This role is ideal for candidates who love both research and building real AI systems in a dynamic, high-impact setting. A Ph.D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths. Salary Range $250,000—$350,000 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.

• Drive strategic engagements across federal agencies by identifying high-value AI opportunities and translating mission challenges into deployable AI capabilities • Manage complex, multi-stakeholder sales cycles involving technical teams, program leadership, and procurement organizations • Build credibility with both technical and mission stakeholders, develop strong territory strategies, and lead opportunities from initial engagement through contract award • Require disciplined pipeline management, strong business case development, and the ability to navigate complex federal buying environments

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! 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 Salary Range $275,000—$375,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About 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. - 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses. - Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools. - Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark). - Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value. - Able to translate ambiguous business problems into testable technical approaches and measurable success criteria. - Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility. - Experience estimating scope and producing technical content for proposals and Statements of Work. Compensation range is $190K - $330K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US #LI-CG1 Salary Range $190,000—$330,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.