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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! Figma is all-in on AI — not just as a feature, but as a foundational shift in how we build, scale, and serve our users. As our CEO and executive team have shared, AI is central to Figma’s long-term product strategy, and we're investing deeply across the stack: from model quality and infrastructure reliability to data pipelines and evaluation workflows. We’re hiring a seasoned Technical Program Manager (TPM) to help lead the platform side of that work — building scalable systems to support annotation, capacity planning, and model delivery. This is a technical, execution-heavy role for a seasoned TPM who would be excited to solve AI reliability, scale, and data quality in equal parts. You’ll partner closely with engineering, infra, design, AI research, and product teams to manage cross-org delivery of our most important AI Services — and help ensure our infra and evaluation loops scale to meet real product demand. If you’re comfortable working across quota tracking, labeling pipelines, cost modeling, and launch readiness — this role was made for you.
Job Responsibility:
Own and drive programs supporting Figma’s AI platform — including annotation velocity, evaluation pipelines, and cost/capacity readiness
Partner with Infra and Finance to plan model scaling across providers: track token usage, forecast traffic, manage regional limits, optimize caching strategies, and reduce latency
Lead our internal AI Annotation Program: manage vendors and design annotators. Define task priorities, improve quality standards and increase annotator throughput
Support internal AIOps initiatives — model go/no-go decision making, monitor model behavior, prevent regressions, and ensure readiness across quality gates
Drive cross-functional execution of key AI-powered product features — coordinate scope, risks, comms, and launch checklists
Partner with Data Science to maintain and improve internal visibility: annotation metrics, token quotas, reliability dashboards, and evaluation timelines
Requirements:
4+ years of technical program management experience (or equivalent) in AI platform, AI research, and AI infrastructure
Understand how AI gets built and scaled: model evaluation loops, annotation pipelines, quota limits, and data versioning
Have hands-on experience running AI cost/capacity reviews, forecast planning, and vendor oversight. Deep understanding of model cost mechanics, including token burn, cache hit rates, latency, and quota limits
Comfort operating in high-ambiguity, high-velocity environments with exec visibility
Strong writing and communication skills — you bring structure, clarity, and momentum to complex technical programs
Bring a systems-thinking mindset to the AI delivery pipeline, and know where to tighten loops or increase speed
Nice to have:
Experience with AI vendor contracts, third-party API quotas, or multi-cloud capacity planning
Background in AIOps / model quality pipelines — even better if you've built or scaled them
Scaled contractor or external vendor teams delivering core data operations
Strong bias to action, self-motivation and curiosity, with desire to bring people together and deliver high quality results in the constantly evolving growth and excitement of a start-up culture
Familiarity with a modern scaled web stack (AWS, Sinatra, React)
What we offer:
equity to employees
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
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