Dash0 Logo

Dash0

Forward Deployed Engineer - US

Reposted 13 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
As a Forward Deployed Engineer, you'll work with strategic customers to implement OpenTelemetry, integrate systems, troubleshoot distributed environments, and provide product feedback.
The summary above was generated by AI
About Dash0

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

Similar Jobs

4 Days Ago
Remote
United States
Mid level
Mid level
Artificial Intelligence • Machine Learning
As a Forward Deployed Engineer, you will work with enterprise AI teams to design and implement AI observability systems, manage client projects, and develop custom integrations on the Arize platform, ensuring effective communication with both technical and business stakeholders.
Top Skills: AWSAzureDockerGCPJavaKubernetesPythonTypescript
21 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Software • Automation
The role involves embedding with customers to develop and deploy AI-driven solutions, improving processes, writing integration code, and ensuring successful agent delivery and customer engagement.
Top Skills: Ai ToolsAPIsJavaScriptJSONPythonSQLWebhooks
5 Minutes Ago
In-Office or Remote
145K-260K Annually
Expert/Leader
145K-260K Annually
Expert/Leader
Artificial Intelligence • Cloud • Enterprise Web • Information Technology • Software • Analytics • Business Intelligence
The Enterprise Account Executive drives sales in a new market, develops strategic account plans, engages with C-Suite executives, and maintains client relationships, ensuring customer needs are met while exceeding sales quotas.
Top Skills: Crm SoftwareMicrosoft Office SuiteSales ToolsSalesforce

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account