Senior Platform Product Manager - AI SDLC Trusted Throughput

DataDog
New York
Workplace: HybridFull timeUSD 192,000 - 240,000 annuallyFunction: Product ManagementExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Influence","Stakeholder management","Leadership"]

Lead and define the strategy for AI-native SDLC throughput on Datadog’s Internal Developer Platform, driving reliability, observability, and governance across AI-enabled software delivery. Partner with engineering, security, and developer platform teams to implement automated validation and risk scoring, deliver SDLC observability, and ensure safe, trustworthy automation at scale.

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FursaFursa
DataDog
DataDog
3 months ago

Senior Platform Product Manager - AI SDLC Trusted Throughput

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead and define the strategy for AI-native SDLC throughput on Datadog’s Internal Developer Platform, driving reliability, observability, and governance across AI-enabled software delivery. Partner with engineering, security, and developer platform teams to implement automated validation and risk scoring, deliver SDLC observability, and ensure safe, trustworthy automation at scale.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management

Key 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

Pay and Benefits

Salary: USD 192,000 - 240,000 annually
Equity and Bonus:Equity
Perks:RsusEsppLearning BudgetMentoring

Key Requirements

  • •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 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
Experience:5+ yearsB2B SaaSDeveloper platformsAI SDLC
Education:Bachelor's
Skills:CommunicationInfluenceStakeholder managementLeadership
Languages:English
Tech Stack:AISDLCObservabilityGovernanceDORA metrics

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn