
Foxglove's interactive visualization and data management capabilities empowers robotic developers to understand how their robots sense, think, and act in dynamic and unpredictable environments. All…

Foxglove's interactive visualization and data management capabilities empowers robotic developers to understand how their robots sense, think, and act in dynamic and unpredictable environments. All…
Product: Visualization (Foxglove Studio) and cloud data/observability platform for robotic data
Founders: Adrian Macneil (CEO) and Roman Shtylman (CTO)
Funding (reported): Seed ~$3.7M; Series A $15M; total reported ~$18.7M
Tech focus: Ingests/indexes multimodal robotics data (MCAP, ROS, Protobuf, JSON, FlatBuffers)
Developer tooling, data management, and observability for robotics and physical AI
2021
Software Development
3700000
Reported seed raise to develop robotics developer tools
15000000
Reported Series A with participation from Amplify Partners and angel investors including Kyle Vogt; total after Series A reported as ~$18.7M
40000000
Reported Series B amount
“Eclipse Ventures led the Series A; other investors include Amplify Partners and angel investors (e.g., Kyle Vogt); later round includes additional angel backers”
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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.
About The Role We’re looking for a Data Infrastructure Solutions Engineer to help customers integrate Foxglove seamlessly into their large-scale data ecosystems. You’ll work closely with engineering teams across a variety of stacks and frameworks to design efficient ingestion and storage workflows, troubleshoot complex performance issues, and ensure reliable data interoperability at scale.
This role is ideal for someone who enjoys bridging the gap between deep technical systems and real-world customer needs. Your expertise and feedback will directly shape how Foxglove evolves to support data-driven development across the robotics and autonomy ecosystem.
Key Responsibilities
What We’re Looking For
What We Offer
Why Join Us
Compensation Range: $180K - $230K
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8+ years of experience in data infrastructure, systems, or backend engineering, including hands-on work with distributed systems, data pipelines, or observability platforms.
3+ years in a technical customer-facing role such as solutions engineering, sales engineering, or a founder/technical lead position.
Proficiency in Python, Rust, or C++, with the ability to quickly navigate and contribute to diverse codebases.
Familiarity with real-time data streaming, messaging systems, and data visualization tools (e.g., Kafka, Pulsar, Arrow, Grafana, or similar).
Experience with at least one of the top cloud providers (AWS, GCP, Azure).
Strong systems-thinking skills, with the ability to assess complex data architectures and design scalable, performant integration strategies.
Excellent communication skills, able to explain complex technical concepts to both engineers and business stakeholders.
Self-starter who thrives in fast-paced, collaborative startup environments.
Willingness to travel locally, domestically, and occasionally internationally.
Bonus Points:
Experience with real-time telemetry, lakehouse formats (Iceberg, Delta, Hudi), or GPU orchestration (Kubernetes + NVIDIA).
Contributions to data infrastructure, distributed systems, or ML open-source projects.