Technical Program Manager, AI Tooling

What you'll do at Figma:

• Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership
• Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders
• Operationalize a transparent intake and routing process so requests have a defined problem, expected business outcome, delivery path, risk profile, and accountable owner before work begins
• Establish and facilitate lightweight planning and execution cadences, including program reviews, dependency reviews, decision forums, release-readiness reviews, and stakeholder updates
• Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving timely resolution or escalation when work is blocked
• Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business-system integrations so these workstreams are engaged at the appropriate stage of delivery
• Ensure releases have appropriate acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff
• Partner with Product and stakeholders to define measurable outcomes and provide clear reporting on delivery health, adoption readiness, operational performance, and realized impact

We'd love to hear from you if you have:

• 5+ years of technical program management, or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment
• Demonstrated experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders
• A track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes while maintaining clear ownership boundaries between Product, Program, and Engineering
• Technical fluency with enterprise systems, APIs, integrations, data flows, platform dependencies, identity and access, and software-delivery lifecycles. You do not need to be an engineer, but you should be able to engage credibly in technical planning and tradeoff conversations
• Excellent written and verbal communication, facilitation, and influencing skills, with the ability to establish lightweight governance, present concise decisions and risks, and create accountability without relying on direct authority

While it's not required, it's an added plus if you also have:

• Direct experience delivering internal AI tooling, platform, or product programs in a rapidly evolving technology environment
• Experience with responsible AI, model governance, security, privacy, compliance, or AI risk-management frameworks
• Familiarity with enterprise SaaS, middleware, low-code or no-code automation, identity platforms, data platforms, vendor evaluation, or procurement processes
• Experience with change management, enablement, enterprise adoption, Product Operations, or establishing a new program-management practice in an emerging organization