I

Forward Deployed Engineer

InCommon • United States
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AI Summary

Own and scale a core part of an AI data company's Data Factory, turning raw audio into high-quality training data. Build prototypes and workflows across operations, engineering, and research, then automate complex operations. Requires 2-8 years in technical product/program, founder, FDE, or technical operator roles, a technical STEM degree, and strong SQL.

Key Highlights
Own strategy and roadmap from prototype to production at scale
Build first versions yourself, then hand off to engineering
Work across Operations, Engineering, and Research
Use data to track throughput, quality, and cost
Requires 2-8 years in technical operator-style roles and strong SQL

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Key Responsibilities
Own the strategy and roadmap for your area, from first prototype to production at scale
Build the first version yourself, then hand it to engineering to scale
Turn the model capabilities customers care about into concrete workflows, requirements, and project plans
Work across Operations, Engineering, and Research to take new systems from idea to deployment
Use data to track throughput, quality, and cost, and to make decisions
Technical Skills Required
SQL

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Benefits & Perks
Top-notch health, dental, and vision coverage
FSA and HSA access
401(k) access
Meals twice daily through DoorDash
Snacks and beverages at the office
Unlimited company-sponsored Barry’s classes
Competitive equity

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Nice to Have
Palantir-style FDE roles, high-growth fintech or data infrastructure startups, AI data companies, or technical consulting backgrounds

Job Description

Forward Deployed Engineer | San Francisco Bay Area or NYC (on-site)

InCommon is hiring a Forward Deployed Engineer for a well-funded, fast-growing AI data company that builds training data for audio AI. Their customers include most major tech companies and leading AI labs.

About the role

You’ll own a core part of the company’s Data Factory, the systems that turn raw audio into high-quality training data. That could be the contributor marketplace, ops infrastructure, a new business unit, or the systems the ML team relies on.

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Job Overview
Posted Nov 06, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Programming
Company InCommon
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