Technical Product Marketing Manager (TPMM)
Join Goodfire as a Technical Product Marketing Manager to translate complex AI concepts into clear narratives for technical audiences.
Posted by employer 10 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Technical Product Marketing Manager at Goodfire plays a crucial role in bridging the gap between complex AI research and its practical applications for technical audiences. This position requires a deep understanding of AI interpretability, strong writing skills, and the ability to translate intricate concepts into clear product narratives and marketing materials. Ideal candidates will have experience in fast-paced environments and a background in AI, making them well-suited to engage with both practitioners and executives. Goodfire's mission-driven culture emphasizes teamwork and continuous improvement, positioning this role at the forefront of innovative AI development.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Goodfire's career page.
- Goodfire has 27 other open roles including Senior Counsel, Director of People, Forward Deployed Research Scientist.
- 5149 active AI/ML roles on Joblaze right now.
- 9 active AI systems roles on Joblaze right now.
- 6 active Interpretability roles on Joblaze right now.
- Salary band is above the typical range for Sales/Marketing roles (median ~$140,000).
- Pays more than 46% of the 2239 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends
Quick facts
- Is the Technical Product Marketing Manager (TPMM) role remote?
- No — this is an on-site role in San Francisco, CA.
- What's the salary range?
- Goodfire lists $175,000–$300,000 for this role.
- Where is the role based?
- Goodfire is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI systems, AI/ML, Interpretability.
- What seniority level is this role?
- Goodfire targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Technical Product Marketing Manager (TPMM) role at Goodfire.
From the original posting
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 Technical Product Marketing Manager to help explain what Goodfire makes possible to the AI researchers, ML engineers, technical executives, and frontier model builders who need to understand, evaluate, and improve the systems they are building. This role demands a rare combination: the technical depth to understand interpretability and modern AI workflows, the product judgment to clarify what matters to users, and the writing ability to turn complex ideas into crisp narratives, demos, launches, and field materials.
This is a high-ownership role where you will sit at the center of product, research, field, and go-to-market. You will translate Goodfire's technical work into product positioning, launch narratives, technical content, demo stories, sales enablement, and customer-facing proof points that make interpretability feel concrete, useful, and urgent.
Our audience is deeply technical. You'll need to be rigorous enough to earn trust with practitioners and clear enough to help executives understand why Goodfire is critical.
Key responsibilities:
- Own technical product positioning: define how Goodfire's platform, capabilities, and use cases are explained to ML engineers, AI researchers, CTOs, Heads of AI, and technical buyers
- Translate research into product narratives: work with research, product, and engineering to turn research breakthroughs into clear customer-facing stories, demos, launches, and use-case materials
- Drive product launches: plan and execute launches for new platform capabilities, research milestones, customer proof points, and vertical-specific offerings
- Build field enablement: create decks, demo narratives, technical one-pagers, FAQs, objection handling, case studies, and other materials that help AEs, Field Team members, and partners win technical buyers
- Develop technical market intelligence: understand buyer workflows, customer pain points, competitive alternatives, and emerging AI development patterns, then feed that signal back into product and GTM strategy
What you’ll bring
Required experience
- Strong ability to understand technical products and explain them clearly to both practitioners and executive audiences.
- Excellent writing and storytelling skills, with examples of launches, technical content, product narratives, demos, or sales materials that moved a market or customer conversation.
- Strong product judgment; you can identify what matters, simplify without dumbing down, and make complex workflows feel concrete.
- Experience collaborating closely with research, product, engineering, sales, and customer-facing technical 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.