Product Manager, Data Platform

Build the data infrastructure for robots operating in the real world.

Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.

At Foxglove, we build the observability, visualization, and data infrastructure that makes that possible. Our tools are used by robotics and autonomous systems teams to ingest, store, query, replay, and analyze massive volumes of multimodal sensor data from live systems and from production fleets.

Data is the lifeblood of Physical AI, but traditional tools are not built to fully leverage the value embedded in the petabytes of complex, multimodal time-series data that robots produce. We are hiring a PM to transform our Data Platform from a passive data lake into an intelligent engine for dataset creation, discovery, and automated evaluation.

In this role, you will lead Foxglove's largest investment area for 2026. You will be responsible for maturing the Data Platform into a standalone, high-velocity product line. You will move beyond simple storage to build sophisticated workflows that span all stages of research, development, and operations.

• 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.

• 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).

• $300 monthly budget towards commuter benefits or building your personal workspace (remote only)

• Competitive equity grant in a Series B company

• Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents

• 401(k) matching up to 4%

• 4 weeks vacation, plus holidays and winter break

• All expenses paid company off-sites 1-2× per year

• Impact: Own growth at a fast-growing, high-leverage moment for the company.

• Mission: Accelerate the development of the next generation of robotics and embodied AI.

• Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools.

• Ownership: Drive initiatives end-to-end, with high autonomy and visibility.