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

Requirements

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

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringmachine learning engineeringdata pipelinesLLM-based workflowsPythonSQLdata toolingdata generationquality estimationtask orchestration

Soft Skills

leadershipmentoringteam motivationcustomer facingcross-functional collaborationcontinuous improvementproblem-solvingadaptabilitycommunicationorganizational skills