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Job Title


Technical Program Manager, AI Research


Company : MSCCN


Location : New York City, NY


Created : 2026-04-04


Job Type : Full Time


Job Description

Were 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.Youll 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 youre comfortable working across quota tracking, labeling pipelines, cost modeling, and launch readiness this role was made for you.This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own and drive programs supporting Figmas AI research and 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 Wed love to hear from you if you have: 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 While its not required, its an added plus if you also 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)At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If youre excited about this role but your past experience doesnt align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.Pay Transparency DisclosureIf based in Figmas San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential imp