Senior Forward Deployed Engineer
Role details
Job location
Tech stack
Job description
Join a fast-growing open-source LLM observability platform - think the Datadog of AI infrastructure - trusted by a large share of Fortune 50 companies and thousands of engineering teams worldwide. As a Senior Forward Deployed Engineer, you are the primary technical partner for the company's most strategic accounts. You own the full customer lifecycle: from first onboarding call through production-scale deployment. You are not support - you are a trusted technical advisor with deep architectural opinions who acts on them., * Own 10-20 strategic accounts - run onboarding, success planning, and deep dives into each customer's AI architecture, driving adoption across the full lifecycle.
- Guide production readiness - develop instrumentation strategies, evaluation setups, data modeling approaches, security/privacy frameworks, and operational playbooks.
- Close the product feedback loop - synthesize patterns across accounts and translate them into concrete product insights that directly influence the engineering roadmap.
- Enable self-hosted and on-prem deployments - deploy, configure, and troubleshoot the platform in customer environments (Docker, Kubernetes, cloud-native).
- Write and contribute reusable assets - integration guides, architecture diagrams, runbooks, and code samples that scale your impact beyond individual accounts.
- Mentor and lead - drive technical initiatives, support junior engineers, and help establish best practices for the forward-deployed function.
Requirements
Do you have experience in Web services?, Do you have a Master's degree?, * Legal right to work in the European Union without employer sponsorship (no visa sponsorship available).
- 5+ years of professional software engineering experience (backend, full-stack, or SRE), with at least 2 years delivering production systems.
- 2+ years hands-on experience building or integrating LLM-powered applications in production (prompt engineering, evaluation, tracing, or model orchestration).
- Proficiency in Python and/or TypeScript/JavaScript with 3+ years building SDKs, integrations, or web services.
- Solid experience with observability and distributed tracing systems; ability to implement and advise on instrumentation for production services.
- Strong SQL skills and experience with analytics/columnar databases; familiarity with ClickHouse or similar analytics engines strongly preferred.
- Hands-on experience with Docker, Kubernetes, and CI/CD pipelines; comfortable deploying and troubleshooting self-hosted or on-prem solutions.
- Customer-facing background - solutions engineering, forward deployment, professional services, or pre-sales - including direct troubleshooting in customer environments.
- Fluent English (written and verbal); able to communicate technical concepts clearly to both technical and non-technical stakeholders.
- Practical knowledge of data privacy, security, and compliance considerations for production LLM deployments (PII handling, retention policies, secure deployments).
- Willingness to travel occasionally to customer sites for deployments, onboarding, or troubleshooting.
Nice to Have
- Experience contributing to or operating within open-source projects (OSS workflows, issue triage, community collaboration)., Visa sponsorship is not available. Candidates must have the legal right to work in the EU without employer sponsorship.
Benefits & conditions
Salary range: $90,000 - $160,000 USD annually, depending on experience and location. The company offers competitive compensation aligned with the seniority and impact of this role.