Forward Deployed Engineer - Data as a Service

Snorkel AI
New York, San Francisco
Workplace: HybridFull timeUSD 172,000 - 300,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsSkills: ["Python","SQL","Pandas","Plotly","Streamlit","Dash","APIs"]

Senior, customer-facing data science and engineering role focused on end-to-end AI data pipelines for Data-as-a-Service projects. You will work across pre-sales to delivery, design evaluation workflows, build synthetic datasets, and deploy ML-based data applications, collaborating with DaaS Delivery Operations and cross-functional teams to accelerate client engagements and ensure high-quality data products.

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FursaFursa
Snorkel AI
Snorkel AI
10 months ago

Forward Deployed Engineer - Data as a Service

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Senior, customer-facing data science and engineering role focused on end-to-end AI data pipelines for Data-as-a-Service projects. You will work across pre-sales to delivery, design evaluation workflows, build synthetic datasets, and deploy ML-based data applications, collaborating with DaaS Delivery Operations and cross-functional teams to accelerate client engagements and ensure high-quality data products.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •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

Pay and Benefits

Salary: USD 172,000 - 300,000 annually
Equity and Bonus:Equity
Perks:EquityRemote Work

Key Requirements

  • •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.
  • •Ability to work across the full presales to delivery lifecycle and communicate technically to stakeholders.
Experience:2+ yearsData scienceData engineeringLLMsProduction ML
Skills:PythonSQLPandasPlotlyStreamlitDashAPIs
Languages:English
Tech Stack:PythonSQLPandasPlotlyStreamlitDashAPIs

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn