Manager, Forward Deployed Engineering
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Posted about 3 months ago · $200,000 – $320,000
or apply directly on Snorkel AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Snorkel AI's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 42% of Snorkel AI's roles list one
- Ghost-job risk at Snorkel AI
- high 37 stale, 5 reposted of 38 open
- Hiring momentum
- 58 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Snorkel AI's own greenhouse board since 2026-08-03. Full hiring picture for Snorkel AI.
About this role
As the Manager of Forward Deployed Engineering at Snorkel, you will lead a team responsible for the technical execution of Data-as-a-Service (DaaS) projects, focusing on the AI data lifecycle. Your role involves designing data pipelines, developing ML-assisted workflows, and ensuring high-quality dataset production. You will also mentor engineers and collaborate with cross-functional teams to enhance Snorkel's technical delivery capabilities.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Snorkel AI as an employer.
What you need
- 6+ years of experience in AI/ML/GenAI engineering, forward deployed engineering, solution engineering or applied AI roles
- 2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
- Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
- Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs
- Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
- Strong systems thinking
Nice to have
- Experience with human-in-the-loop (HITL) systems, data annotation workflows, or data-centric AI approaches
- Familiarity with synthetic data generation or model-assisted labeling techniques
- Experience building internal platforms or tooling for delivery or operations teams
What you get
- Base salary range of $200,000 – $320,000
- Equity and benefits included
- Opportunities for career growth and skill development
Worth weighing
- No specific technologies or tools mentioned beyond Python and SQL
- Salary range may vary based on multiple factors
- Start-up or growth-stage experience preferred, indicating a fast-paced environment
Summarised from Snorkel AI's posting. Read the full original.
Listed by Snorkel AI on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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