Forward Deployed Engineer

Goodfire
San Francisco
Workplace: OnsiteFull timeUSD 200,000 - 325,000 annuallyFunction: Administration & Executive AssistanceSkills: ["Communication","Problem-solving","Collaboration","Adaptability"]

A hands-on, field-facing software engineering role embedded with partner teams to deploy Goodfire’s interpretability platform. You’ll write production code, build integrations, run pilots, and own day-to-day technical delivery, collaborating across research and engineering to translate frontier methods into deployed solutions for partners in AI/ML workflows.

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FursaFursa
Goodfire
Goodfire
5 months ago

Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 minutes agoStatus: Live

Job Summary

A hands-on, field-facing software engineering role embedded with partner teams to deploy Goodfire’s interpretability platform. You’ll write production code, build integrations, run pilots, and own day-to-day technical delivery, collaborating across research and engineering to translate frontier methods into deployed solutions for partners in AI/ML workflows.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Own technical delivery for partner engagements: build production-grade integrations of Goodfire's platform into customer environments — from API integrations and custom pipelines to internal tooling and evaluation workflows.
  • •Run pilots that prove value fast: design and execute creative, short-timeline pilots that demonstrate the platform's impact, often in parallel with or ahead of longer-term solution scoping.
  • •Embed with partner engineering teams: serve as the day-to-day technical point of contact, going deep in their codebase, understanding their infrastructure, and building trust through competence.
  • •Compound learnings across engagements: bring field insights back to the platform and research teams, identify repeatable patterns, and build shared tooling and playbooks that scale the Field Team.
  • •Bridge research and production: take novel interpretability methods from the Foundational Team and figure out how to make them work reliably in a partner's stack — reading papers, prototyping new techniques, and hardening them for production use.

Pay and Benefits

Salary: USD 200,000 - 325,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Strong software engineering skills with production experience in Python and modern ML frameworks (PyTorch, JAX).
  • •Ability to work across research and engineering boundaries - you can understand a new technique and figure out how to ship it.
  • •Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist "can-do" mindset.
  • •Strong communication skills - you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
  • •Technical degree or equivalent professional experience within AI, ML, or a related field.
Experience:AIMLInterpretability
Skills:CommunicationProblem-solvingCollaborationAdaptability
Languages:English
Tech Stack:PythonPyTorchJAXAPIsProduction-ready software

Company Brief

Goodfire
Goodfire builds AI-powered developer and business tools to help teams generate, integrate, and deploy custom large-language-model applications. Their platform focuses on simplifying prompt engineering, model orchestration, and secure data connectivity for enterprise AI workflows.
Industry: Developer Tools
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