Forward Deployed Engineer - Data-as-a-Service

Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities

Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value

Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity

Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics

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

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

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

Support account growth by identifying upsell and cross-sell opportunities based on technical interactions with client engineering and research teams

2+ years of experience in data science and engineering roles. Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)

Familiarity with LLM-based workflows and applying ML techniques in production contexts

Experience leveraging Backend APIs and interpreting associated technical documentation

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.

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.

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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.