Forward Deployed Engineer - Data as a Service
Snorkel AI - New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)
Posted Oct 24, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Forward Deployed Engineer - Data as a Service New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) 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 since 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 - Multiple Levels This is an engineering delivery role where you'll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, 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
Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Systems Engineer - (Execution) - Level 3/4
Northrop Grumman - United States-Alabama-Huntsville
-
Business Analyst (Top Secret cleared)
ICF International INC - Washington, DC
-
Engineering Project Specialist II (Full Time) - United State
Cisco - San Jose, California, US
-
Automation AI Ops Engineer
Cisco - 2 Locations