Solutions Engineer, Europe

Posted 5 Days Ago
Be an Early Applicant
Germany
180K-230K Annually
Senior level
Robotics • Database
Visualize, debug, and manage multimodal data in one purpose-built platform for robotics and embodied AI development.
The Role
The Solutions Engineer will help customers integrate Foxglove into their data ecosystems, troubleshoot issues, and provide feedback. Responsibilities include designing solutions, onboarding, and collaborating with sales.
Summary Generated by Built In

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it.

We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission.

About the Role

We’re looking for a 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

  • Technical solution design: Collaborate with customer engineering teams to understand their data architecture and design scalable ingestion, storage, and visualization workflows tailored to their systems and requirements.

  • Demonstrations and evaluations: Build and deliver technical demos and proof-of-concepts that mirror real-world data pipelines, showcasing how Foxglove integrates with existing infrastructure and tools.

  • Onboarding and integration: Guide customers from initial setup through production deployment, ensuring seamless data flow between their systems and Foxglove for reliable, high-performance operation.

  • Problem-solving and troubleshooting: Diagnose and resolve complex data, performance, and interoperability issues during evaluations and early deployments, partnering closely with both customer and internal engineering teams.

  • Product feedback: Provide structured insights and feature requests to Foxglove’s product team based on direct technical engagement and real-world data infrastructure use cases.

  • Collaboration with sales: Act as the technical partner during the pre-sales process, translating customer needs into robust, scalable data solutions that demonstrate Foxglove’s value.

Location

We’re a small global company with team members primarily in the U.S. and Australia. We maintain Pacific Time hours and hire within ±4 hours of U.S. time zones to ensure effective collaboration.

For this position, we're looking for someone located in Germany who speaks German.

What We’re Looking For

  • 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.

What We Offer

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

  • Competitive equity grant in a Series A 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 2× per year

Why Join Us

  • 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.

Top Skills

Arrow
AWS
Azure
C++
GCP
Grafana
Kafka
Pulsar
Python
Rust
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The Company
HQ: San Francisco, CA
24 Employees
Year Founded: 2021

What We Do

At Foxglove, we’re building powerful tools to accelerate robotics development. We believe that robotics will have a massive impact on our daily lives and the world economy over the coming decade, and that better quality software tooling will significantly accelerate this trend. Our team’s years of experience working in the robotics and self-driving industries means we are uniquely positioned to bring the advanced tools built in-house at larger companies to the increasing number of startups in this space, across a wide range of verticals.

Our first product, Foxglove Studio, is an open source visualization and diagnosis platform, specifically designed for working with robotics and sensor data. It allows you to easily inspect sensor inputs such as images, point clouds, and time series data, via a highly customizable 2D & 3D environment.

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