Datadog · Developer tools

Forward Deployed Engineering Manager - Datadog for Startups

  • San Francisco (Hybrid), +1 more: New York
  • $200,000 - $250,000 / year

Still open on Datadog's site · checked just now

Level
Lead or manager
Experience
8+ years
Posted

Forward Deployed Engineering Manager - Datadog for Startups

Datadog

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What you'll do

As written by Datadog · Read the original

What You’ll Do

  • Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them.
  • Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions.
  • Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence.
  • Hire, onboard, and develop full-time FDEs, manage a rotating cohort of SWE and TSE secondments, build technical assessment frameworks suited to the customer-embedded nature of the role, and coach the team on engagement, scoping, stakeholder communication, and Datadog platform depth.
  • Identify high-value mini-product opportunities (integrations, dashboards, automation scripts, open-source tooling), drive lightweight engineering sprints that convert recurring customer needs into reusable assets, and maintain a prioritized build backlog informed by deployment learnings and competitive intelligence.
  • Help drive lightweight engineering sprints to convert recurring customer needs into reusable assets that scale across the FDE portfolio.
  • Partner with Sales, Solutions Engineering, Customer Success, and Business Development to identify which accounts enter the FDE motion, represent the function in QBRs and executive business reviews, and serve as a trusted advisor through complex deployment cycles.

Requirements

Who You Are

  • Have 8+ years of experience in forward deployed engineering, solutions architecture, software engineering, or related technical fields, including at least 3 years in a customer-facing technical role.
  • Have 2+ years of engineering management or technical leadership experience, including hiring, coaching, performance management, and cross-functional collaboration.
  • Have contributed to or scaled 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.
  • Bring deep familiarity with modern cloud-native stacks (Kubernetes, AWS/GCP/Azure, microservices, CI/CD pipelines, infrastructure-as-code) and hands-on experience with observability, monitoring, APM, or logging platforms; Datadog experience is a strong plus.
  • Communicate exceptionally across audiences from engineering leads and CTOs to VP-level executives, bring strong commercial instinct for how technical decisions translate to ARR, churn risk, and expansion, navigate large matrixed organizations without direct authority, and are comfortable with significant travel to embed with customers.
  • Entrepreneurial mindset, thrive in evolving environments, demonstrate strong business acumen, navigate matrixed organizations without direct authority, and are willing to travel to support customer engagements.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Skills

Stack

  • AWS
  • Google Cloud
  • Azure
  • Kubernetes

Working languages

English

Salary & benefits

Benefits and Growth

  • Shape and scale a rapidly growing strategic function with significant influence on its operating model and future direction.
  • Partner directly with leadership across Engineering, Product, Sales, Customer Success, and Business Development.
  • Influence customer outcomes while helping inform Datadog's product roadmap through structured field feedback.
  • Work with a diverse portfolio of technically sophisticated organizations solving complex observability challenges.
  • Develop expertise across cloud infrastructure, platform engineering, AI observability, deployment strategy, and customer-facing technical leadership.
  • Gain visibility through participation in executive reviews, planning cycles, and cross-functional initiatives across the business.
  • Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$200,000—$250,000 USD

Company

Last checked . The details above were extracted automatically; the employer's original posting is the authority.

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