Research Product Manager

PerceptaNew York, NY
3d

About The Position

As a Research Product Manager at Percepta, you will work across multiple customer engagements to identify, scope, and drive research work-streams that unlock transformative AI capabilities. While our Embedded Product Managers (EPMs) own the day-to-day execution and strategy for individual clients, you will bridge blue-sky research with real-world deployments across our entire portfolio. Research PMs identify where cutting-edge research can create breakthrough value across multiple customers and industries. We care deeply about translating research into production impact: you'll help customers understand which research bets are worth making, how to evaluate success, and how to integrate research outcomes into their operations. We are creative problem solvers and relentlessly practical: you'll balance long-term research vision with near-term value delivery, running experiments across clients to validate research directions and working closely with our research team to push the envelope on the hardest problems.

Requirements

  • Have deep technical understanding of ML/AI research, with the ability to evaluate research feasibility and impact.
  • Have a proven track record of scoping and driving complex technical initiatives in ambiguous environments.
  • Are motivated by high-leverage, cross-cutting problems that can unlock value across multiple customers and industries.
  • Exhibit extreme agency and bias towards action. You are fundamentally a "so instead, I..." person.
  • Have experience with LLMs and frontier AI research, or exceptional ability to quickly get up to speed.
  • Can balance long-term research vision with near-term delivery needs and know when to push for research depth vs. pragmatic solutions.

Responsibilities

  • Work with EPMs and customer stakeholders across multiple clients to identify where research can unlock significant value.
  • Translate ambiguous business problems into concrete research questions and prioritize what the research team should work on.
  • Partner with researchers to define research strategies, set milestones, and ensure research stays connected to customer needs.
  • Design pathways for research outcomes to reach production, working with EPMs and Applied AI Engineers on evaluation frameworks and integration strategies.
  • Identify patterns across engagements and abstract successful approaches into reusable methodologies.
  • Communicate complex research concepts to technical and non-technical stakeholders, helping customers understand the potential and limitations of cutting-edge AI.
  • Create and maintain a portfolio-wide view of research priorities, balancing customer-specific needs with broader platform capabilities.
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