Jobs at Goodfire

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

Lead strategic sales for LLM-focused accounts: build pipeline, run technical discovery with CTOs and research leaders, scope pilots with Field Team, negotiate agreements, expand engagements, and develop repeatable vertical playbooks that translate technical roadmaps into commercial outcomes.

Goodfire seeks senior leaders to drive strategy and growth in AI interpretability. Ideal candidates will have experience building teams and delivering impactful technology solutions.

Lead and close strategic partnerships in Robotics and Vision: build pipeline, run discovery with technical buyers, scope pilots with Field Team, negotiate deals, and create vertical playbooks to scale engagements across complex organizations.

The Research Scientist will conduct original research on AI interpretability, prototype visualization techniques, and collaborate on research-to-production projects.

The Senior Founding Recruiter will build the talent acquisition function, manage full cycle recruiting for AI/ML roles, and maintain a proactive talent pipeline.

Own full-cycle GTM recruiting for sales, marketing, partnerships, BD, and customer-facing technical roles. Build sourcing pipelines, partner with founders and hiring managers to define scorecards, run interview processes, sell candidates on Goodfire, and create recruiting infrastructure for tracking, feedback, and closing.

Lead and grow Goodfire's model training organization, set technical direction for training and post-training work, define research agenda in intentional design and interpretability-informed training, partner with scientific leadership, and deliver high-quality training outcomes while hiring and mentoring a world-class team.

Lead Goodfire's public communications, particularly on social media, translating complex AI research into engaging content to drive awareness and attract talent.

The Head of Engineering will lead the development of Goodfire's core platform, recruit a high-performing engineering team, and ensure the success of engineering projects.

The Business Operations Manager will oversee operational tasks, handle strategic projects, and ensure efficient administration at Goodfire, requiring a strong technical background.

Conduct original research on interpretability of large AI models, prototype visualization and manipulation techniques, collaborate with engineers to productionize tools, publish and open-source results, and help define research direction focused on mechanistic understanding and model steering.

Manage the full employee lifecycle (onboarding/offboarding), benefits administration and renewals, payroll data inputs, visa/immigration coordination with external vendors, employee inquiry support, compliance maintenance, and process documentation/improvement to ensure a high-quality employee experience.

Partner with the CEO and leadership to increase effectiveness by managing high-volume operational work: follow-ups, drafting comms, recruiting coordination, events, fundraising support, offsites, customer outreach, and cross-functional projects. Represent leadership externally, exercise discretion, and quickly learn technical AI and interpretability concepts to drive strategy and execution.

Research and build outbound pipeline targeting AI labs and model builders; craft highly personalized outreach; create an SDR playbook; partner with GTM and Field teams; maintain CRM hygiene, handoffs, follow-up, and reporting to scale pipeline.

Convert interpretability research into production product features: design and build full-stack interfaces, APIs, workflows, and integrations for model evaluation, debugging, monitoring, and deployment. Partner with researchers, engineers, designers, and customers to deliver reliable, performant, and user-friendly tooling for understanding model internals.

Own Goodfire's end-to-end events strategy for technical AI audiences: design high-signal experiences (dinners, salons, conferences), run operations (vendors, budgets, run-of-show, speaker prep), build targeted invitation and attendance strategies with GTM and field teams, and measure event impact on pipeline and account engagement while creating repeatable playbooks.

Lead and own life sciences customer engagements end-to-end: scope pilots, define success metrics, coordinate cross-functional delivery, build trusted relationships with technical and executive stakeholders, and convert delivery into repeatable playbooks for growth and expansion.

Own strategic Life Sciences sales: build pipeline, run discovery, navigate technical and executive stakeholders, scope pilots with Field, negotiate agreements, close partnerships, and feed market signals back to product and leadership.

Provide high-touch support to the COO and Principal Investigator by managing calendars and inboxes, coordinating travel and meeting logistics, handling personal tasks, organizing internal/external meetings and events, and partnering with Operations to maintain an exceptional employee experience in a fast-paced startup environment.