Datadog
Forward Deployed Engineering Manager - Datadog for Startups
$200K–$250K
New York, New York, USA +3 · Manager · Full-time · Posted Jun 24, 2026
- Location
- New York, New York, USA
San Francisco, California, USA
New York, NY, United States
San Francisco, CA, United States - Experience
- 8+ years in a relevant technical field, including at least 3 years in a customer-facing technical role; 2+ years in engineering management or technical leadership.
- Visa sponsorship
- Candidates should be eligible for any required US government authorizations under export control regulations; some roles may require this.
About the job
Leads and scales Datadog’s Forward Deployed Engineering program, managing customer-embedded technical teams and turning deployment insights into reusable engineering assets and product feedback.
What you'll do
- Define and scale the FDE operating model, offerings, success metrics, and business models.
- Hire, develop, and coach FDEs and coordinate rotating SWE and TSE secondments.
- Partner across Sales, Product, Engineering, and customer teams to support deployments, inform roadmaps, and build reusable tools.
What they ask for
- 8+ years in forward deployed engineering, solutions architecture, software engineering, or related technical fields, including at least 3 years in a customer-facing technical role.
- 2+ years of engineering management or technical leadership experience, including hiring, coaching, performance management, and cross-functional collaboration.
- Experience contributing to or scaling a technical program, practice, or new function within a high-growth technology company, with a track record of influencing product roadmaps through structured field feedback.
- Deep familiarity with modern cloud-native stacks and hands-on experience with observability, monitoring, APM, or logging platforms.
Nice to have
- Datadog experience is a strong plus.
Pay
$200,000 — $250,000 USD yearly salary (base salary)
Tools
Kubernetes, AWS/GCP/Azure, microservices, CI/CD pipelines, infrastructure-as-code, LLM/AI observability
AI focus
Builds LLM/AI observability accelerators and develops expertise in AI observability; the posting does not specify model development.
Model-written summary · the original posting is authoritative