Technical Product Marketing Manager (TPMM)
San Francisco, CAGoodfire is hiring a Technical Product Marketing Manager to explain interpretability capabilities to AI researchers, ML engineers, and technical executives. The role demands technical depth in interpretability, product judgment, strong writing skills, and ability to create positioning, launch narratives, demos, sales enablement materials, and technical content. Requires translating research into clear customer-facing stories for highly technical audiences. Based in San Francisco.
Forward Deployed Research Scientist (Biology)
San Francisco, CAForward Deployed Research Scientist (Biology) role at Goodfire focused on original research in interpretability applied to biological foundation models, working directly with customers on protein prediction, drug discovery, and materials discovery projects. Located in San Francisco. Requires PhD/MD in biology with strong ML/computational biology background. This is a research/data science role, not a business operations or revenue operations function.
General Interest (Senior Leadership)
San Francisco, CAGoodfire, an AI interpretability research company backed by $200M+ in funding, is seeking senior leaders and founders to build and scale high-performing teams in strategy, operations, or organizational leadership. This is a general expression of interest for C-suite and founder-level roles at a mission-driven, talent-dense organization.
Research Scientist
San Francisco, CAGoodfire is seeking a Research Scientist to conduct novel research in AI interpretability and model steering. The role requires a PhD or equivalent in ML/CS, deep familiarity with large language models, and expertise in PyTorch. Responsibilities include foundational research on model representation, prototyping techniques, and collaborating with engineering teams to deploy research into production tools. Based in San Francisco with $200M+ in VC backing.
General Interest
San Francisco, CAGoodfire invites applications from exceptional talent without specific roles identified. The organization is building talent-dense teams across AI/ML research, engineering, product, and go-to-market functions; applicants with 2+ years of relevant experience are encouraged to apply, and the team will monitor profiles for future opportunities that fit their skills.
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