Foxglove is a company dedicated to building observability and data infrastructure for robotics and autonomous systems. The Staff Product Manager for the Data Platform will lead the transformation of the Data Platform into a high-velocity product line, focusing on data management, discovery, and automated evaluation while ensuring integration with other products.
Responsibilities:
- Own the Data Strategy & Roadmap: Define how the platform will evolve to address the opportunities in data management, discovery, curation, and evaluation
- Drive Technical Innovation: Partner with our Search and Curation engineering teams to deliver innovative data layers built around the complex requirements of operating in the physical world
- Fuel Product-Market Fit: Transition the product from a visualization enabler into a core value proposition of Foxglove. Lead design partnerships with lighthouse customers to build and validate new capabilities before general availability
- Commercialize Consumption: Work with GTM to refine and implement a product-led growth model that aligns with customer value generation and feeds into Enterprise sales
- Connect the Loop: Ensure seamless integration between the Data Platform and our Visualization and Fleet products, creating a "data flywheel" for customers
Requirements:
- 5+ years of product management experience, including 2+ in robotics, autonomous vehicles, developer tools, data infrastructure, AI & ML development, search, developer tools, or highly technical B2B SaaS
- Strong understanding of robotics, AV, or Physical AI development needs
- Deep technical understanding of data lakes, indexing strategies, vector databases, and query languages (SQL). You understand the cost/performance tradeoffs of hot vs. cold storage
- 0→1 Mindset: You excel at taking a technical capability (ingesting logs) and turning it into a commercial product (selling insights). You are comfortable defining MVPs and iterating based on customer feedback
- Excellent communicator who can synthesize complex systems into clear product direction
- Comfortable using data to make decisions and define success metrics (e.g., query latency, data under management, ingestion rates)
- Passion for robotics, embodied AI, and empowering teams to operate physical systems at scale
- Experience with Robotics or Autonomous Vehicle data platforms & tools(ROS, MCAP, sensor fusion)
- Background building Search products (using embeddings, vector DBs, RAG), Data Evaluation pipelines, or AI/ML model development
- Experience with building cloud platforms (e.g., AWS, Snowflake, Datadog)