Goodfire
About Goodfire
Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We’ve raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We're looking for a Demand Gen Lead to sit at the intersection of marketing, research, and product and think strategically about how to reach the most technical builders in AI.
This is a high-autonomy, high-impact role where you will own the full demand funnel: from identifying and reaching the right prospects, to designing campaigns and experiments that generate qualified pipeline, to partnering closely with our Field Team to convert interest into meaningful long term partnerships.
Our buyers are CTOs, Heads of AI, and research leads training frontier models in their specific domains. They don't respond to generic outbound or played-out playbooks. You'll need to be creative, data-driven, and deeply thoughtful about how to earn the attention of people who are building the most advanced AI systems in the world.
Key responsibilities
- Build and own a highly personalized demand generation engine: design, execute, and optimize programs across outbound, strategic events, social, and high value content that excites frontier model builders before their very first call
- Run rigorous experiments: treat demand gen like a growth problem - form hypotheses, launch tests, analyze results, and double down on what works
- Construct highly targeted outreach: use product signals, research engagement, event attendance, and market intelligence to build precise prospect lists and tailor messaging to technical buyers
- Build the infrastructure: stand up the tools, workflows, and reporting needed to run a data-driven demand generation function
What you’ll bring
Required experience
- Demonstrated ability to build pipeline selling to technical or research-oriented buyers.
- Experience designing and running multi-channel campaigns — outbound, events, ABM, paid, content — and measuring their impact on pipeline and revenue.
- Scrappiness, creativity, and a bias toward action. You're a builder, not an optimizer of someone else's machine.
- Comfort operating in ambiguity - our market is new, our buyers are novel, and the playbook doesn't exist yet.
Preferred qualifications
- Experience as an early demand gen or growth hire at a high-growth startup, where you built the function from scratch.
- Familiarity with selling to AI/ML teams, research organizations, or deeply technical enterprise buyers.
- Experience using product-led growth signals or community engagement data to identify high-intent prospects.
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.
The expected salary range for this position is $200,000 - $375,000 USD.
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We're looking for a Product Marketing Lead to tell the Goodfire story to the AI researchers, engineers, and technical leaders who are building and training AI models. This role demands a rare combination: the technical credibility to engage deeply with an audience that trains AI models, the instinct to translate complex research into accessible stories, and the strategic vision to create a new category in the AI market.
This is a foundational role where you will define how the world understands what interpretability makes possible. That means owning our messaging strategy end to end: crafting positioning and messaging, orchestrating product launches, and shaping the broader market narrative around interpretability as a critical capability for the next generation of AI.
You will need to deeply understand our research, our product, and our market - translating frontier science into compelling value propositions that resonate with Heads of AI, CTOs, and research leaders at the companies building the most important models in the world.
Key responsibilities
- Own positioning, messaging, and narrative: define how Goodfire and our platform are understood in market
- Shape the category: establish an interpretability platform as a must-have capability in the AI stack through thought leadership, content, and strategic communications
- Drive product launches: plan and execute launches that generate awareness and pipeline, from major research milestones to new platform capabilities
- Build deep market intelligence: develop a rigorous understanding of the competitive landscape, buyer needs, and emerging use cases across verticals — and translate those insights into product and go-to-market strategy
- Create sales enablement and field materials: arm our forward-deployed team with the positioning, demos, case studies, and collateral they need to win technical buyers
What you’ll bring
Required experience
- Strong ability to translate highly technical concepts into clear, compelling narratives for deeply technical audiences (researchers, ML engineers, Heads of AI).
- Strong strategic instincts and the ability to build a go-to-market playbook from scratch in a fast-moving, ambiguous environment.
- Experience speaking to deeply technical buyers at AI labs, frontier model companies, or research-driven organizations.
- Scrappiness, speed, and a bias toward action. You ship, measure, and iterate — not deck-build.
Preferred qualifications
- Demonstrated experience owning product marketing end-to-end at an infrastructure, developer tools, or AI company - from positioning through launch execution and sales enablement.
- Background as an early marketing hire at a high-growth startup, or experience building a product marketing function from the ground up.
- Familiarity with the AI research landscape - interpretability, model training, alignment, and the broader ecosystem of labs and model developers.
- Track record of defining or shaping a new product category.
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.
The expected salary range for this position is $200,000 - $375,000 USD.
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We're looking for a Member of Technical Staff to join our Field Team and be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to design solutions under real-world constraints, and the comfort to operate directly alongside customer engineering and research teams.
This is a hands-on, high-ownership role where you will be forward-deployed with our most strategic partners: writing production code, building integrations, running pilots, and owning technical delivery day-to-day.
This role turns frontier research into deployed reality. You will typically be working with deeply technical partners - Heads of AI, research teams, ML platform teams - across Life Sciences, Robotics and Vision, Language and Reasoning models, or new verticals, helping them integrate our platform into their model training stack.
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 — this means being comfortable reading papers, prototyping new techniques, and hardening them for production use
What you’ll bring
Required experience
- 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.
Preferred qualifications
- Technical degree or equivalent professional experience within AI, ML, or a related field.
- Experience in a forward-deployed, solutions, or customer-facing engineering role. Former technical founders encouraged to apply.
- Track record of excellence in a high-growth startup or frontier AI lab.
- Experience with large language models, including fine-tuning, evaluation frameworks, or agent development.
- Familiarity with interpretability, mechanistic interpretability, or model internals (sparse autoencoders, feature steering, etc.).
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.
The expected salary range for this position is $200,000 - $325,000 USD.
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re looking for a Vertical Lead to own and scale a vertical. This role demands an unusual range: the technical depth to architect novel solutions, the leadership to direct a team of engineers and research scientists, the emotional intelligence to form successful partner relationships, and the vision to launch and scale a new market.
This is an incredibly challenging and exciting role where you will operate like a founder: translating our platform into solutions and products, defining the market, and proving product-market fit. That means owning what we build, sell, and deliver, leading a forward-deployed team to create solutions, and managing partner relationships end to end: from scoping and sale through delivery and expansion.
This role turns frontier research into real-world impact, allowing our advances in the science of interpretability to unlock the promise of safe and powerful AI. You will typically be working with frontier companies in one of Life Sciences, Robotics and Vision, general Language and Reasoning models, or new verticals that we may focus on.
Your official title would be the specific vertical e.g. Robotics Lead.
Key responsibilities
- Build and scale a vertical or domain: prove product-market fit, define solutions, win new prospects, and drive sustained growth
- Own technical delivery: direct what we build and ensure it solves real problems for partners
- Manage partnerships end-to-end: from initial scoping and sale, to delivering value and demonstrating impact, to securing renewals and expanding accounts
- Lead a forward-deployed Field Team of engineers and research scientists to deliver technical solutions
- Shape the platform into solutions: translate frontier interpretability research into repeatable products, platforms, or services that our deeply technical partners (Heads of AI, Heads of Research, CTOs) will want to buy
What you’ll bring
Required experience
- Strong ability to combine technical fluency, product intuition, and customer understanding into high value, repeatable solutions.
- Strong technical fluency and experience leading cross-functional, technical teams.
- Strong understanding of modern AI technology.
- Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist “can-do” mindset.
Preferred qualifications
- Experience as a founder, general manager or highly field facing product manager or engineering manager.
- Deep domain experience in a vertical where companies are training models (or attempting to). Come with a perspective - we want to hear it!
- Technical degree or equivalent professional experience within AI or Research
- Track record of excellence in a high growth startup.
- Experience working with frontier or open source models and understanding of model training.
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.
The expected salary range for this position is $250,000 - $375,000 USD.
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We are looking for a Brand & Growth Lead to own Goodfire’s public voice, particularly on X. This is a unique position responsible for communicating how our research advances are creating a new paradigm in deep learning that allows researchers to understand, debug, and design AI models like written software.
You will work closely with both our research and go-to-market teams to translate our research results into compelling stories that shape the public conversation, drive inbound interest, and attract world-class researchers and engineers.
You should have deep fluency in the AI landscape, exceptional storytelling ability, excellent taste, and high agency. You should have built a significant following on X before and have a track record of public communications that you're proud of and can share.
Key responsibilities
- Own Goodfire's social media strategy and execution. Build a distinctive, high-credibility presence that increases awareness of Goodfire and our capabilities.
- Turn complex research into threads, essays, blog posts, and explainers that technical audiences love to read, in topics from from core research breakthroughs to applied work with our partners in areas like life sciences.
- Drive measurable inbound demand and recruiting interest through brand and content efforts.
- Shape Goodfire's external narrative: how we talk about our capabilities, why it matters, and where the field is going.
- Partner with founders and researchers to amplify their voices, helping them develop their social presence and translating their thinking into public-facing content.
What you’ll bring
Required experience
- 5+ years in brand, marketing, communications, growth, or adjacent roles – though we're also open to candidates from AI research without a traditional marketing background.
- Strong ability to communicate complex technical ideas clearly and persuasively.
- Demonstrated success building audiences and driving engagement on social media
- Familiarity with the AI landscape and the narratives shaping the field.
- Strong taste and judgment around messaging, storytelling, and public communication.
- Excellent long and short form written communication skills
Preferred qualifications
- Experience working in AI, machine learning, developer tools, or research-driven companies.
- Experience working closely with researchers or technical founders.
- Early-stage startup experience
- Experience marketing or communicating to technical audiences in life sciences or biotech
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.
The expected salary range for this position is $150,000 - $300,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re seeking a Front Desk Coordinator to join our growing team! You’ll serve as the face of the company, creating a welcoming and professional environment for team members, candidates, and guests. This is not a passive, sit-back role- the front desk is the heartbeat of the office and every minute matters. This role is equal parts hospitality and operational excellence. You’ll anticipate needs before they arise, handle high-traffic, multi-guest situations, keep our visitor experience seamless, and help set the tone for our culture.
You’ll work closely with our Operations team to elevate the overall employee experience, owning the details and stepping in wherever needed. We’re looking for someone who is kind, hospitable, detail-oriented, proactive, and ready to go above and beyond for anyone who steps foot into our office.
Key responsibilities
- Serve as the first point of contact for team members, candidates, clients, and guests, creating a warm, professional and welcoming in-office experience
- Maintain a clean, organized, and welcoming front desk and reception area
- Manage guest check-in and visitor flow using tools such as Slack, Gmail, and a visitor management system
- Coordinate incoming traffic to the office, including greeting visitors and directing them appropriately
- Receive, sort, and distribute mail, packages, and deliveries with accuracy and efficiency
- Coordinate food and catering deliveries for team meals and events
- Partner with the Operations team to support day-to-day office needs and special projects as needed
- Maintain consistent in-office coverage from 8:00AM - 5:00PM, Monday through Friday
What you’ll bring
Required experience
- 1-2 years of experience in a front desk, office coordination, or administrative role
- Strong communication skills and a professional and welcoming presence
- Strong email etiquette
- High attention to detail and strong organizational skills
- Ability to adapt to a busy environment
- Basic tech fluency (Google Calendar, Google Mail, Slack, etc.)
Preferred qualifications
- Experience working in a fast-paced, early-stage startup environment
- Experience supporting office operations, workplace coordination, or facilities management
- Experience managing vendors, deliveries, or office logistic
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 office who’d be onsite 5 days a week.
What we offer
This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is $50,000-$65,000 USD.
This role reports to our Executive Assistant.
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re seeking a Technical Product Marketing Manager (TPMM) to lead our technical product marketing and brand strategy.
In this role, you’ll articulate our company vision to AI engineers, enterprise technical leaders, and other key stakeholders - communicating why interpretability matters and how Goodfire’s platform, Ember, enables end users to deliver more useful AI systems.
As Goodfire’s first technical product marketing hire, you’ll play a pivotal role in defining how we communicate our mission and products to the world, bridging technical depth with narrative clarity, and shaping both our external brand and GTM story.
Key responsibilities:
- Shape the narrative of interpretable AI development. Define and communicate how Goodfire changes the way people think about developing AI. You’ll translate our breakthroughs in interpretability into stories that resonate with AI practitioners, enterprise partners, and the broader public
- Lead enterprise and technical product marketing Craft product positioning that speaks both to practitioners (ML engineers) and executive sponsors (CTOs, Chief Scientists).
- Own the field and partner story. Design narratives that land customers: build decks, demos, and success stories that help applied/GTM teams close accounts and design partners.
- Drive cultural relevance. Understand what AI leaders, builders, and the chronically online are talking about and communicate how Goodfire is relevant.
- Collaborate across every function. Work with product, research, eng to launch initiatives that feel both technically rigorous and visually powerful. Every launch should move both the enterprise market and the broader AI discourse.
What you’ll bring
You’re an experienced technical product marketer with experience shaping compelling product narratives and moonshot research directions.
Required experience
- 4+ years of experience in technical product marketing or a related role (DevRel, GTM, Product)
- Proven ability to understand and communicate technical concepts clearly
- Excellent storytelling and writing skills, with examples of impactful narratives or launches
- Strong editorial and design instincts, you care about how ideas look and feel
- Self-starter mentality: you identify needs, prioritize effectively, and unblock yourself
- Experience collaborating closely with highly technical research, product, and engineering teams
Preferred qualifications
- Experience working in a fast-paced, early-stage startup environment
- Experience working with state of the art AI models
- Prior experience creating content for technical or enterprise audiences
- Familiarity with interpretability techniques and SOTA tooling for AI model
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.
The expected salary range for this position is $175,000 - $300,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We're hiring a Senior Technical Recruiter to build our entire talent acquisition function as we scale. You'll be a hands-on, strategic partner to our founders, owning all hiring across AI/ML research engineering, product, and go-to-market roles.
You'll perform full cycle recruiting from sourcing and screening through offer stage while building the recruiting infrastructure that will scale with us. You'll take a consultative approach, partnering with our Founders and leadership team to attract top talent. You're focused on quality over quantity and understand that in AI safety and interpretability research, small, talent-dense teams win.
You'll stay embedded in the SF AI scene, maintain a warm pipeline of standout talent, and help shape who joins Goodfire as we scale.
What you’ll do
- Own end-to-end recruiting across AI/ML research scientists, research engineers, ML infrastructure, security, and non-technical roles (ops, GTM, etc) as needed
- Build and maintain a proactive pipeline of top AI talent so we're never starting from zero when a role opens
- Stay embedded in the AI community: actively participate in SF/Bay Area AI events, networking meetups, and conferences; maintain relationships that generate warm intros
- Design interview loops, ensure bar alignment, and build recruiting infrastructure that will scale with the company while executing all IC recruiting work yourself
- Protect the bar: You default to skepticism, looking for reasons candidates won't work. You're comfortable with rigorous evaluation processes (work trials, deep reference checks, behavioral interviews) and high rejection rates.
What you’ll bring
Required experience
- 5-10 years of recruiting experience, with 3+ years in early-stage startup or research-intensive environments
- 2+ years recruiting specifically for AI/ML, research engineering, or ML infrastructure roles (strongly preferred)
- Proven ability to recruit across both technical (engineering, research) AND non-technical (GTM, product, ops) roles
- Sole operator experience: You've been THE recruiting function or founding recruiter before & are comfortable operating independently
- Quality over quantity mindset: You measure success by quality of hires, not speed or volume. You protect the bar aggressively
Preferred qualifications
- Experience recruiting for frontier AI labs, LLM startups, or research heavy engineering orgs.
- STEM degree (BS/MS/PhD) or equivalent technical background/fluency.
- Existing network in the SF / Bay Area AI ecosystem
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.
The expected salary range for this position is $120,000–$280,000 base salary + equity (no bonus).
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We're looking for a Security Architect to own IT and physical security operations at Goodfire. The stakes in AI development are extremely high, and we need to protect ourselves against sophisticated threats. In this role, you will lead our efforts to keep Goodfire secure against global risks.
This is a foundational role. Your responsibilities will include protecting our cloud infrastructure, securing company intellectual property, managing access to IT systems, and overseeing physical security for our offices. You will defend Goodfire against sophisticated actors seeking to infiltrate our systems.
This position reports directly to the CTO.
Where you'll contribute
- Infrastructure & DevOps – Protecting our cloud environments, CI/CD pipelines, and production systems from attackers.
- IT Operations – Centralizing endpoint security, identity and access management, and physical devices.
- Physical Security – Leading office access controls, visitor management, and physical security measures appropriate for an AI research lab.
- Security Culture – Building a security culture which is ready to protect the organization from state level threats.
Key responsibilities
- Design and implement security controls across cloud infrastructure (research cluster, platform APIs).
- Own identity and access management, including SSO, hardware authentication, and least-privilege access policies.
- Manage endpoint security, device management, and IT systems.
- Establish and maintain security monitoring, logging, and incident response capabilities.
- Conduct security assessments and work with engineering teams to remediate vulnerabilities.
- Develop and maintain security policies, documentation, and compliance frameworks.
- Manage physical security systems including access controls and office security.
- Respond to security incidents across all domains—digital and physical.
What you'll bring
Required experience
- 7+ years of experience in security engineering.
- Strong foundation in cloud security (AWS, GCP, or Azure).
- Experience with identity management, SSO, and access control systems.
- Experience with compliance frameworks (SOC 2, HIPAA) relevant to enterprise customers.
- Comfort operating as a generalist—you'd be happy jumping between configuring firewalls and setting up badge readers.
- You can deeply own the protection of our people and systems.
Preferred qualifications
- Experience at an early-stage startup or building security programs from scratch.
- Background in ML infrastructure or familiarity with ML training workflows.
- Physical security experience, including access control systems and facility security.
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.
The expected salary range for this position is $250,000 - $400,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re looking for a Machine Learning Engineer (Life Sciences) to help build our platform for training, evaluating, and deploying interpretable frontier AI systems, with an emphasis on scientific and biological foundation models(e.g., genomic foundation models, protein language models, vision models for digital pathology).
Where you might contribute:
- Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned.
- Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key responsibilities:
- Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data.
- Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
- Prototype techniques to visualize and manipulate internal model structures.
- Integrate new machine learning workflows and pipelines into our product and deploy to customers.
- Ensure system reliability, reproducibility, and performance
What you’ll bring
Required experience
- 5+ years of experience in ML infra, research engineering, or systems programming.
- Comfort working across research and engineering boundaries.
- Expertise in Python, PyTorch or Jax, and distributed systems.
- Experience deploying and maintaining ML systems at scale.
- You care about understanding how models work internally and using that to make them more reliable and useful in the real world
Preferred qualifications
- Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data).
- Open-source ML infrastructure contributions.
- 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.
The expected salary range for this position is $200,000 - $400,000 USD (depending on level and scope).
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the Role
We're looking for a highly technical Head of Engineering to grow our core platform. At Goodfire, we believe that leaders need to be in the trenches with their team and that engineering leaders also need to be exceptional engineers. We're looking for someone who can do everything it takes to ensure our core platform’s success from developing clean software interfaces for public consumption, making large training runs go smoothly, and ensuring success with our customers and design partners. You’ll have extremely high ownership over a critical core of the business.
You'll also be responsible for recruiting outstanding machine learning engineers from top AI labs to work on our mission. The right candidate is someone with existing networks in the frontier AI community and a proven track record of attracting and retaining top technical talent in a competitive market.
Key Responsibilities
Be a Key Technical Contributor
- Direct technical execution at the highest level is expected for all leaders.
- Convert state-of-the-art research into scalable, product-grade tools with urgency.
- Oversee infrastructure for model interpretability, training, and inference at frontier scale.
Build an Exemplary Engineering Team
- Recruit, hire, and retain top machine learning engineers from leading AI research labs.
- Develop and execute a hiring strategy that positions Goodfire as a destination for the best engineers in the field.
- Foster a high-performance culture equipped to tackle some of the hardest problems in AI.
Own Outcomes End-to-End
- Drive adoption of Goodfire's core platform.
- Collaborate directly with customers and go-to-market teams.
- Shape and reinforce Goodfire's culture and values as the company scales.
What You'll Bring
Required Experience
- 10+ years of engineering experience, with 5+ years in engineering leadership roles.
- Demonstrated success building and scaling engineering teams at high-growth startups or frontier AI labs.
- Exceptional track record recruiting machine learning engineers from top AI organizations.
- Deep technical expertise in ML infrastructure, distributed systems, and large-scale model training.
- Hands-on proficiency with PyTorch or JAX, modern ML tooling and inference engines.
- Strong network within the AI/ML research and engineering community.
- Genuine passion for AI safety, interpretability, and building systems that earn human trust.
Preferred Qualifications
- Prior experience at a frontier AI lab or leading AI research organization.
- Experience shipping ML products to enterprise or research customers.
- Background in or familiarity with interpretability, alignment, or AI safety research.
- Public presence in the AI community (publications, open-source contributions, speaking engagements).
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.
Expected salary range: $300,000 - $450,000 USD (commensurate with experience)
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, apply now.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
Senior Leadership – Expression of Interest
Goodfire is tackling one of the most urgent and technically complex challenges in AI: making advanced systems interpretable and aligned. We’re looking to connect with senior leaders who’ve built and scaled high-performing teams, navigated critical growth phases, and delivered at the frontier of emerging technology.
Whether your background is in engineering, research, operations, or organizational leadership, you’ll help shape strategy, guide high-impact technical work, and build the structure and culture for a fast-moving, mission-driven organization. We’re building a lean, talent-dense team where every hire is critical and deeply trusted.
We’re especially interested in:
- Founders and early execs who’ve scaled ambitious teams
- C-suite leaders from high-growth or deep tech environments
- Technical leaders who’ve shipped novel AI systems
- Operators experienced in high-stakes, high-velocity execution
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.
If you share our values and have relevant experience, we encourage you to apply and join us in shaping the future of how we design AI systems.
We offer market competitive salary, equity, and competitive benefits.
More importantly, you’ll help guide a world-class team working on foundational technology at the center of ensuring a safe and beneficial future for humanity.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
Don't see the right role for you?
We're always hiring exceptionally talented people. If none of the current openings are a fit, then please apply here and we'll be happy to review your information and see if we might have a role open for you. Our team will continue to monitor incoming profiles and will reach out when we have an opportunity that could be a fit.
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.
If you share our values and have at least two years of relevant experience, we encourage you to apply and join us in shaping the future of how we design AI systems.
We offer market competitive salary, equity, and competitive benefits. More importantly, you'll have the opportunity to work on groundbreaking technology with a world-class team dedicated to ensuring a safe and beneficial future for humanity.
The expected salary range for this position is $100,000 - $400,000 USD.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We’re looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
- Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned.
- Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key Responsibilities:
- Work directly with customers to conduct original research in interpretability and computational biology.
- Prototype techniques to visualize and manipulate internal model structures.
- Collaborate with engineering to turn research into production-ready tools.
- Drive partnership success by collaborating closely with our customers and partners.
- Help define and evolve our research direction.
What you’ll bring
Required experience
- PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics.
- Deep familiarity with large models and a passion for understanding how they work.
- Fluency in Python and ML frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Drive to move quickly and take ownership.
Preferred qualifications
- Experience leading research in a forward deployed environment and in service of a customer’s requirements.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced lab environments.
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.
The expected salary range for this position is $220,000 - $315,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We are seeking a Finance Manager to own day-to-day financial operations at Goodfire as we experience a period of rapid growth. You will be responsible for supporting monthly and quarterly reporting, owning our financial models, and building the infrastructure to scale our finance function. The role spans the full spectrum from heads-down operational work to assisting with fundraising and capital allocation decisions. You’ll need to be able to work hard and move fast.
Key responsibilities
- Financial planning and analysis - own and maintain our financial models, support budgeting and forecasting, and provide strategic analysis to inform decisions.
- Payments and AP/AR - own all payments processing, vendor management, invoicing, and collections.
- Reporting and metrics - build dashboards and reporting infrastructure to provide leadership with visibility into financial performance.
Who you are
- A finance operator with real expertise who has done the grind before and is ready to do it again at an early-stage company.
- Experience managing payments, AP/AR, and monthly close processes. Fluent with financial systems and tools (Quickbooks, Excel).
- High agency and low ego. Willing to go deep on topics outside your core competency and learn quickly.
What you’ll bring
Required experience
- 4-6+ years of experience in finance, accounting, FP&A, or financial operations - ideally at a startup or high-growth environment.
- Strong understanding of accounting fundamentals (CPA or accounting background a plus, but not required if you’ve developed equivalent expertise).
- Technical competency. You should be comfortable engaging with engineering and infrastructure concepts, including compute cost dynamics.
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.
The expected salary range for this position is $175,000 - $300,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re hiring a Business Operations Manager to own the operational machinery at Goodfire. This is a hands-on role where you will be expected to own any operational problem from 0 to 1. You’ll need a strong technical background to deeply immerse yourself in our business and the generalist adaptability to pick up anything and turn it into a solved problem. If you don’t have direct expertise in machine learning or interpretability you’ll be expected to develop a working understanding quickly.
Your work will split between recurring tasks that keep the business running (customer contracts, recruiting initiatives, immigration logistics, and vendor negotiation) and strategic projects that push the company forward. You will ensure there is near-zero administrative overhead for the broader team, even if this requires thankless hours of invisible work on your end. You’ll be staffed against whatever matters most and be expected to deliver.
Who you are
- An experienced operator who’s been through rapid scaling before. You know what breaks when companies grow fast and how to pre-empt issues.
- Detail-oriented and fast-paced. You can move extremely quickly without letting anything slip.
- Exceptional communication and organizational skills. You can translate between technical and non-technical teams effortlessly.
What you’ll bring
Required experience
- 4-6+ years of experience in operations, business operations, or a generalist role at an early-stage startup.
- Technical background strongly preferred. CS degree, engineering experience, or demonstrated fluency from working in technical environments.
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.
The expected salary range for this position is $175,000 - $300,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re looking for a Research Scientist to join our team and develop new techniques for understanding and steering large AI models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
- Interpretability mechanisms – Foundational research on how models represent and process information.
- Moonshots – High-upside bets on novel techniques that could unlock breakthroughs in model understanding.
- Applied research & usability – Translating research into tools for real-world users and enterprise applications.
We’ll determine your pod placement during the interview process based on your background and interests.
Key responsibilities:
- Conduct original research in interpretability and related fields.
- Prototype techniques to visualize and manipulate internal model structures.
- Collaborate with engineering to turn research into production-ready tools.
- Share your work through publications, demos, and open-source contributions.
- Help define and evolve our research direction.
What you’ll bring
Required experience
- PhD or equivalent experience in ML, computer science, or a quantitative science.
- Deep familiarity with large models and a passion for understanding how they work.
- Fluency in Python and ML frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Drive to move quickly and take ownership.
Preferred qualifications
- Experience leading research or contributing to open-source codebases.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced lab environments.
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.
The expected salary range for this position is $200,000 - $400,000 USD
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.
Ready to apply?
Apply to Goodfire
About Goodfire
Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.
Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
About the role
We’re looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You’ll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.
Where you might contribute:
- Interpretability tools – Building the tools and infrastructure to support understanding and intentional design of models at industry scale.
- Training infrastructure – Extending and supporting our training infrastructure for large training runs.
- Product – Turning state of the art interpretability research into robust, usable product features.
We'll work with you to determine the team that best aligns with your strengths.
Key responsibilities:
- Turn cutting edge interpretability research into production ready tools.
- Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
- Integrate new machine learning workflows and pipelines into our product and deploy to customers.
- Ensure system reliability, reproducibility, and performance.
What you’ll bring
Required experience
- 5+ years of experience in ML infra, research engineering, or systems programming.
- Comfort working across research and engineering boundaries.
- Expertise in Python, PyTorch or Jax, and distributed systems.
- Experience deploying and maintaining ML systems at scale.
- You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred qualifications
- Open-source ML infra contributions.
- 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 both our San Francisco HQ and our New York office. 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.
The expected salary range for this position is $200,000 - $400,000 USD
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.
Ready to apply?
Apply to Goodfire