Jobs at Goodfire

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.

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.

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.

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.

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.

Lead company-wide compute strategy for training, research, and customer workloads. Source and secure GPU capacity and pricing, decide when to rent/partner/own hardware, manage compute economics, negotiate vendor contracts, forecast demand, and partner with research, product, finance, and leadership to ensure infrastructure supports roadmaps without becoming a bottleneck.

Lead People strategy for a fast-scaling AI research startup: own hiring, compensation, leveling, employee lifecycle, culture, People systems, org design, employee relations, and build a high-performing People team partnering with founders and leaders.

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.

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

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

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.

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.