Join Dash0 and help us define the future of observability. We are OpenTelemetry-native, building a delightful, simple, and AI-centric platform that eliminates vendor lock-in and meaningless toil. Shape a product that developers love—all with transparent pricing and cost-control built in.
The Opportunity
Dash0 is looking for Forward Deployed Engineers to work directly with our most strategic customers, helping them instrument, integrate, and get maximum value from the Dash0 platform. You'll sit at the intersection of engineering and customer success — writing real code in real customer environments.
Unlike a traditional Solutions Architect role, this is hands-on engineering. You'll deploy OpenTelemetry instrumentation, build custom integrations, troubleshoot complex distributed systems, and feed product insights back to our Engineering team. If you love solving hard technical problems and working face-to-face with customers, this is the role for you.
What You'll Do
Work directly with enterprise customers to deploy and configure OpenTelemetry instrumentation across their environments.
Build custom integrations, dashboards, and tooling to help customers realize the full value of Dash0.
Troubleshoot complex issues in distributed systems, Kubernetes clusters, and observability pipelines.
Lead proof-of-concept engagements and technical onboarding for strategic accounts.
Serve as the technical bridge between customers and Dash0's Product and Engineering teams — translating field observations into product feedback.
Contribute to internal tools, reference architectures, and documentation that scale the customer success function.
What You Bring
3+ years of experience as a software engineer, SRE, platform engineer, or in a customer-facing engineering role.
Strong hands-on experience with Kubernetes, cloud-native infrastructure, and distributed systems.
Familiarity with observability concepts — metrics, traces, logs — and ideally hands-on experience with OpenTelemetry.
Ability to read and write production-quality code in at least one of: Go, Python, Java, or TypeScript.
Excellent communication skills — you can explain complex technical concepts to both engineers and business stakeholders.
Comfort working directly with customers in high-stakes environments.
Nice to Have
Prior experience with observability platforms (Datadog, New Relic, Dynatrace, Grafana).
Contributions to open-source projects, particularly in the CNCF ecosystem.
Experience with OpenTelemetry collector configuration and telemetry pipeline design.
Experience in a high-growth, venture-backed startup environment.
Why Dash0
This is a unique opportunity to help build a generational company. Dash0 is backed by top-tier investors including Balderton Capital, Accel and Cherry Ventures and led by a founding team with decades of experience in observability. We're in the middle of a massive growth phase after our Series B — and we're just getting started.
If you're looking for a place where a great product meets great people, where momentum is real and your impact is visible from day one — this is it.
What we offer:
Competitive salary & meaningful equity participation — you'll own part of what you're building
Flexible, remote-first work environment with offices in New York, Amsterdam, and Munich
€60/month phone & internet allowance
Location-specific benefits
Collaborative, fast-moving team culture with a builder mindset
Clear path for career growth and development
Direct access to founders and leadership
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What We Do
We are a group of observability and monitoring experts dedicated to a single mission. We strongly believe Observability should be easy to understand, use, install, integrate, and manage. We make Observability easy for every developer. We fully embrace OpenTelemetry, Prometheus, and open standards for modern observability. Our focus is on correlating and contextualizing issues to look beyond the limitations of telemetry silos. It should be easy for users to collect relevant telemetry and our goal is to have widespread adoption with a user-friendly and developer-friendly experience. We believe that more data doesn't always lead to more insights and often results in significant costs.
