Technical Program Manager, AI Tooling

Figma•San Francisco, NY

2d•Hybrid

About The Position

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Technical Program Manager to build and run the program operating system for Figma's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across Figma — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams. You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how Figma evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows. The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority. This is a full time role that can be held from one of our US hubs or remotely in the United States.

Requirements

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

Nice To Haves

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

Responsibilities

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