Technical Program Manager, Research

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Own end-to-end delivery of new model versions and features for our flagship STT and TTS offerings, coordinating tightly across Research, Product, DataOps, and Engineering to hit milestones and ship on time
Define and champion lightweight but effective processes that bring visibility and accountability to researchers’ daily workflows without adding unnecessary overhead or stifling scientific creativity
Map dependencies and risks across all active cross-functional projects; maintain a clear picture of where things stand, where they’re at risk, and what needs to happen to keep execution on track
Run cross-functional programs end-to-end: scope definition, timeline management, stakeholder communication, risk mitigation, and launch readiness
Troubleshoot cross-team blockers quickly and build reliable partnerships across the technical organization so that handoffs between teams are smooth and accountability is clear
Own proactive communication across all levels of the organization: leadership should always have an accurate read on project health, and teams should always know how their work fits into the bigger picture
Respond quickly to shifting priorities, translating decisions made upstream into clear implications for timelines, team capacity, and cross-functional dependencies

Can drive delivery of complex, multi-team technical programs without losing sight of the details that make or break a launch
Excels at identifying dependencies and risks early, before they become frictional forces or blockers that slow research or delay product timelines
Has the technical depth to sit in a room with ML researchers and engineers and understand what’s actually being built
Knows how to bring just enough process to an environment that runs fast and resists overhead and knows when to enforce structure versus get out of the way
Can build trusted relationships across Research, Product, DataOps, and Engineering, and hold those teams accountable to each other without creating friction
Communicates status and risk clearly to both technical and non-technical stakeholders, and knows when to escalate

5+ years of experience as a Technical Program Manager or Engineering Program Manager, ideally with meaningful time spent supporting or embedded in an AI/ML Research organization
In-depth, working knowledge of how machine learning systems are built (i.e., data pipelines, model training, evaluation, and serving) that allows you to engage meaningfully with researchers and engineers on technical tradeoffs
Proven track record of delivering complex, multi-workstream technical programs on time across teams with competing priorities
Demonstrated ability to map cross-functional dependencies and technical risk across concurrent projects, with clear status communication to all stakeholders
Experience designing lightweight processes that improve execution velocity and accountability in research or engineering environments without adding bureaucratic overhead
Strong analytical skills for evaluating program health, spotting bottlenecks early, and making data-informed prioritization decisions
Excellent communication in both directions: crisp updates for senior leadership, clear direction for researchers
A pragmatic, roll-up-your-sleeves orientation: we need you to be equally effective at the strategic level and in the details
Bonus points for experience with speech or audio projects — audio data collection and labeling, audio model evaluation (including human eval), or shipping products where audio quality is the core user experience