Head of Forward Deployed Engineering

Single Grain•Los Angeles, CA

8h•$175,000 - $225,000•Remote

About The Position

Single Grain is hiring a technical player-coach to lead six engineers, build alongside them, and turn customer problems into secure, reliable products that hit their engagement goals. You will report directly to Eric Siu. You should be deeply hands-on with AI: we expect 95%+ of your code to be written with AI, with you accountable for architecture, verification, useful reviews and production quality. You need to know what to build, what to prioritize and what to stop. Single Grain combines marketing services, software and AI to drive measurable customer results. This role connects engineering work to that larger vision. You will help the team turn useful discoveries into products clients adopt, maintain and expand.

Requirements

Comparable experience managing engineers while staying technically credible and actively building.
Production systems you helped ship and operate, with measurable customer adoption or business outcomes and a clear account of your contribution.
A history of promotions and increasing responsibility, supported by sustained results. Equivalent growth in scope matters too.
Daily AI-assisted engineering and management workflows. Be ready to explain how you create, test, review and maintain AI-written code.
Strong organization, attention to detail, customer development, product judgment and clear communication.
Examples of decisions to focus, narrow scope or stop work, and how those decisions served a larger goal.

Responsibilities

Manage six engineers. Set assignments, sequence work, manage capacity, coach people and make ownership clear.
Build alongside the team. Own technical standards, architecture, technical and PR reviews, and release readiness.
Talk to customers regularly. Discover the real problem, test assumptions, set success metrics and use adoption data to decide what to improve or kill.
Drive engagement within products. Own rollout, activation, repeat use and recovery when a product misses its goals.
Ship at pace with careful execution. Test failure paths, challenge weak assumptions and make PR feedback useful. Do not ship poor-quality work simply to increase output.
Govern security and AI costs: access and data boundaries, tests/evals, token attribution, budgets, alerts, context and retry limits, monitoring and recovery.
Connect each project to the company vision and measurable customer value. Scope useful follow-on work with clients and partner with account owners on expansion.
Build reusable components and delivery playbooks that engineers actually use.