Lumalabs Ai

Lumalabs Ai

Product Manager, Applied Research

Redwood City, USA

Sponsorship not specifiedDetected 29 days ago
PythonSQLProduct ManagementProduct StrategySalesCadenceResearch

About the role

  • We believe that multimodality is critical for intelligence.
  • Where You Come In Luma's research teams have historically operated with significant independence - pushing the frontier on multimodal foundation models with less direct connection to product and commercial outcomes.
  • As we shift toward enterprise sales-led growth, we need the research-to-product bridge to be explicit, fast, and bidirectional.

Responsibilities

  • Own the product strategy for translating Luma's frontier research capabilities into shippable features across Canvas, Agents, and the model platform
  • Build prototypes yourself to validate product ideas before committing engineering resources - using the models directly to test hypotheses about what's possible and what customers will value
  • Partner with the Agent PM and Enterprise PM to ensure research priorities align with the capabilities that enterprise products and customer deployments actually need
  • Drive the cadence and process for research-to-product handoffs - defining what "ready to ship" means, managing the transition from research prototype to production feature, and owning the quality bar Who You Are
  • You can build prototypes yourself - you have the technical depth to work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team
  • You bring a mix of large-company and earlier-stage experience - you understand both the pace of a research lab and the urgency of a startup building a commercial business

Requirements

  • Python and SQL proficiency - you can work in the tools researchers use, not just the tools PMs use

Benefits

  • Background in multimodal AI - you understand the specific opportunities and challenges of models that work across vision, language, and generation

Company info

  • Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities - translating "the model can now do X" into "customers can now solve Y"

This listing is sourced directly from Lumalabs Ai's careers page and normalized into a canonical job model.