Jobs at Goodfire

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.

The Finance Manager will oversee financial operations, support reporting, manage payments, and develop financial models to support growth.

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

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.

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.

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.

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.

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.

The Product Marketing Lead will define messaging, shape the AI interpretability category, drive product launches, and create sales materials, engaging effectively with technical audiences.

The Demand Generation Lead will design and execute marketing campaigns to attract technical AI builders, analyze results, and optimize outreach strategies.

The Vertical Lead will scale a vertical by delivering technical solutions, managing partnerships, and leading a team of engineers and scientists to transform AI interpretability research into marketable products.

Lead technical product marketing and brand strategy at Goodfire, articulating AI interpretability to engineers and technical leaders. Shape narratives, craft product positioning, and collaborate across functions to communicate breakthroughs in AI.

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

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

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