Full-Stack Engineer, Forward Deployed

Build the data infrastructure that powers physical AI.

Physical AI is moving from research labs into production fleets across industries. As robots scale across the real world, from factories to vehicles, to defense - every workflow from product development to deployment becomes a data problem: what happened, when, on which robot, and why?

At Foxglove, we built the unified data platform for physical AI that developer and engineering teams use to answer those questions. We help teams make vast quantities of robotics data actionable, creating the data flywheel they need to develop, test, train, deploy, and operate robots with confidence.

We are looking for an experienced and highly adaptable Forward‑Deployed Engineer to join our team s role is ideal for a product‑minded full‑stack engineer who thrives in customer‑facing environments and enjoys solving complex technical challenges in robotics and observability.

As a Forward‑Deployed Engineer, you'll work directly with strategic customers to integrate and extend Foxglove's platform within their environments, while also contributing upstream to our core product. This position offers a unique mix of hands‑on development, creative problem‑solving, and close collaboration with customer teams. You'll act as a trusted engineering partner, ensuring Foxglove is seamlessly woven into customer workflows and identifying opportunities to drive improvements based on real‑world use cases.

* This role does require 25-50% travel to customer locations.

• Customer Collaboration – Embed deeply with customer teams to understand business goals, domain constraints, and technical requirements.

• Design & Development – Architect and build end‑to‑end solutions with an experiment‑driven, iterative approach (Type Script/React, Node.js, Python, ROS, SQL).

• Scoping & Planning – Draft clear scopes of work, timelines, and success metrics for proofs‑of‑concept through production roll‑outs.

• Hands‑On Delivery – Code side‑by‑side with customer engineers, deploying on their cloud or on‑prem environments to ensure successful adoption.

• Cross‑Functional Alignment – Partner closely with Sales and Customer Success on the same accounts to guarantee seamless experiences and measurable outcomes.

• Product Feedback Loop – Relay frontline insights to Research, Product, and Engineering; your learnings shape our roadmap.

• Internal Enablement – Document best practices, contribute to internal libraries, and mentor future FDEs so the function scales efficiently.

• 5+ years of professional experience with modern full‑stack technologies (Type Script/Node.js, React, Python)

• 3+ years of professional experience in Robotics or Autonomous systems

• Experience in customer‑facing engineering roles, ideally with robotics or autonomy exposure.

• Proven history of rapid prototyping and iterative delivery with external stakeholders.

• Solid grasp of network and cloud architecture (AWS, GCP, or Azure) and database‑backed REST APIs.

• Comfortable building across the stack — from data pipelines and APIs to the interfaces engineers use every day

• Comfortable owning problems end‑to‑end, learning what’s missing, and communicating technical details to any audience.

• Willingness to travel extensively and work on‑site with customers when required.

• Experience with C++ or ROS in a robotics context

• Experience designing SDKs, integration libraries, or internal tooling that reduced services cycle time

• Experience with multiple database systems

• Work on real robotics problems. Robot data is large, messy, multimodal, time‑sensitive, and tied to physical‑world behavior. The problems we work on span ingestion, indexing, search, visualization, replay, connectivity, collaboration, evaluation, and operations.

• Build tools engineers rely on. Foxglove is used by robotics teams investigating failures, validating changes, reviewing field behavior, curating datasets, and operating production fleets. The work you do helps teams understand what their robots saw, what they did, and why they behaved the way they did.

• High‑leverage product surface area. A better query path, visualization workflow, Fleet…