Goodfire

1 month ago

Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join Goodfire as a Product Engineer to translate interpretability research into robust, user-facing product features. You’ll own full-stack work from ideas to shipped product, collaborating with researchers, ML engineers, design, and customers, building interfaces, APIs, and workflows for training, evaluating, debugging, and deploying interpretable AI systems at scale in a San Francisco HQ.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Turn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product
•Build high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product
•Create product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use
•Shape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next
•Collaborate across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.
•Strong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.
•Strong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.
•Comfort working across research, engineering, design, and customer-facing teams.
•You care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.

Experience:2+ yearsAiMlInterpretability

Skills:Full-stackAPIsProduction softwareDeveloper toolsCustomer workflows

Languages:English

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

Website

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Goodfire

1 month ago

Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Turn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product
•Build high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product
•Create product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use
•Shape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next
•Collaborate across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.
•Strong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.
•Strong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.
•Comfort working across research, engineering, design, and customer-facing teams.
•You care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.

Experience:2+ yearsAiMlInterpretability

Skills:Full-stackAPIsProduction softwareDeveloper toolsCustomer workflows

Languages:English

Company Brief

Goodfire

Industry: Developer Tools

Website