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Senior Platform Product Manager - AI SDLC Trusted Throughput

Datadog· Product Management
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Hybrid (New York, NY)$192k - $240kfull-timePosted 5mo ago

About the role

Senior Platform Product Manager focused on AI SDLC Trusted Throughput, responsible for defining and driving the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. Hybrid workplace with collaboration across engineering, security, and developer platform teams to improve deployment reliability, observability, and governance while enabling engineers and AI agents to move quickly.

Responsibilities

  • Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform
  • Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety
  • Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows
  • Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle
  • Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation
  • Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders

Qualifications

  • 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling
  • Experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators
  • Comfort navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership
  • Strong perspective on how AI is transforming software engineering workflows and understanding the operational, reliability, and governance risks introduced by autonomous systems
  • Effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences
  • Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience

Skills

Required:B2B SaaS Product ManagementEngineering metrics (DORA)AI in software engineeringStakeholder influencing

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intra-departmental mentor and buddy program for in-house networking
  • Inclusive company culture, ability to join our Community Guilds
  • Access to Inclusion Talks, internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits
Last updated Oct 22, 2026. Interested? Apply on the company site.

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