Goodfire Logo

Goodfire

Product Engineer

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Junior
In-Office
San Francisco, CA, USA
Junior
Convert interpretability research into production product features: design and build full-stack interfaces, APIs, workflows, and integrations for model evaluation, debugging, monitoring, and deployment. Partner with researchers, engineers, designers, and customers to deliver reliable, performant, and user-friendly tooling for understanding model internals.
The summary above was generated by AI
About Goodfire

Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.
We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.
Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.

About the role

We're looking for Product Engineers to help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. You'll play a central role in turning Goodfire's research and platform capabilities into products that people can actually use: clear interfaces, reliable workflows, developer tools, and product surfaces that make model internals understandable and actionable.

This role is similar to our Machine Learning Engineer role, but with a stronger focus on core product building. You will work across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features, from early prototypes through production systems used by customers.

Where you might contribute
  • Product surfaces: build the interfaces, workflows, and developer experiences 
  • Research-to-product translation: turn new interpretability techniques into usable features that are reliable, explainable, and easy to adopt
  • Customer workflows: build product paths that support real-world use cases across evaluation, model understanding, intervention, monitoring, and deployment
  • Platform integration: connect product features to the underlying infrastructure for model analysis, training, inference, and experimentation

We'll work with you to determine the team and product area that best aligns with your strengths.

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
What you’ll bringRequired experience
  • 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.
Preferred qualifications
  • Experience building products for technical users, developers, researchers, ML engineers, or infrastructure teams.
  • Startup or frontier lab experience in fast-moving teams.
  • Startup or frontier lab experience in fast-moving teams.
Our values

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

Put mission and team first

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly

We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

Take ownership and initiative

There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.

Action today

We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.

Where we work

We are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.

What we offer

This role offers market competitive salary, equity, and competitive benefits.

Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.

HQ

Goodfire San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

16 Days Ago
Hybrid
San Francisco, CA, USA
132K-132K Annually
Internship
132K-132K Annually
Internship
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Product Engineer Intern will build and ship full-stack product features using React, TypeScript, and/or Python. Responsibilities include collaborating with AI engineers on agentic capabilities and prompting, improving workflows and user experiences, optimizing performance, designing APIs, testing, and participating throughout the product development lifecycle. The hybrid role is based in San Francisco and includes collaboration with designers, product managers, and experienced engineers.
Top Skills: Ai AgentsJavaScriptPrompting StrategiesPythonReactTypescript
16 Days Ago
Hybrid
San Francisco, CA, USA
150K-230K Annually
Senior level
150K-230K Annually
Senior level
Security • Software • Cybersecurity • Automation
Own full-stack development of customer-facing AI features using React, TypeScript, Node.js, and Python. Build streaming interfaces, agentic workflows, RAG-powered experiences, feedback loops, observability, and testing. Partner with AI engineers, product managers, and designers to translate LLM capabilities into intuitive compliance products. Mentor engineers and establish reusable patterns for AI feature development.
Top Skills: AnthropicBraintrustChunked HttpLangchainLanggraphLlm ApisMcpNode.jsOpenaiPythonRagReactSseTypescriptWebsockets
Yesterday
Remote or Hybrid
7 Locations
264K-395K Annually
Expert/Leader
264K-395K Annually
Expert/Leader
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead the development of foundational iOS platform systems, shared frameworks, developer tools, architecture standards, and multi-quarter migrations across Cash App and Square. Drive performance, reliability, security, testing, observability, release safety, and AI-assisted development practices. This hands-on individual contributor role influences multiple teams, develops technical leaders, and partners broadly to improve iOS engineering quality, productivity, and product outcomes.
Top Skills: Ai-Assisted Development ToolsBazelCi/CdCombineInstrumentsIntegration TestingObjective-CObservabilityPerformance ToolingProtocol BuffersSnapshot TestingSwiftSwift ConcurrencySwiftuiUi TestingUikitUnit TestingXcode

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account