Senior Platform Product Manager - AI SDLC Trusted Throughput | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$192,000–$240,000 / yr
Posted
15 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $216k
$156k most similar roles pay here $263k

This role pays more than 62% of similar roles. Most pay $177,137–$237,387 — the shaded band above. At the midpoint, this role pays about $216k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 109 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 58 roles with salary data.

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At a glance

TL;DR · Senior Platform Product Manager - AI SDLC Trusted Throughput | Datadog Careers

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As a Senior Platform Product Manager at Datadog’s Internal Developer Platform, you will lead the product strategy for AI-native SDLC throughput and reliability initiatives, focusing on enabling safe and reliable software delivery. You will own the roadmap and execution to balance deployment velocity with operational safety, collaborating closely with engineering, security, and developer platform teams to build automated validation and auditability into workflows. Your responsibilities include delivering actionable observability capabilities that connect executive metrics to operational signals and ensuring AI-generated changes are monitored for correctness and compliance. This role requires experience in B2B SaaS Product Management or a related technical leadership position, with expertise in defining engineering performance metrics and navigating ambiguity while influencing technical stakeholders. Strong knowledge of how AI transforms software engineering workflows and the associated risks is essential, along with effective communication skills to present complex concepts to various audiences.

Skills

DORA metrics CI/CD SDLC observability AI-generated change validation Automated auditability Risk-scoring capabilities Deployment reliability Operational visibility Developer platform tools Infrastructure automation Security engineering Compliance governance Technical leadership Engineering performance metrics DevOps methodologies Cloud infrastructure APIs RESTful services Python JavaScript TypeScript PostgreSQL MongoDB

What you'll do

  • Own and execute the product strategy for AI-native SDLC throughput and reliability.
  • Define platform outcomes aligned with DORA metrics to balance deployment velocity and safety.
  • Build automated validation, auditability, and risk-scoring into deployment workflows.
  • Deliver observability and diagnostic capabilities connecting executive-level metrics to operational signals.
  • Monitor and validate AI-generated changes to ensure correctness, compliance, and trustworthiness.

What we're looking for

  • 5+ years of experience in B2B SaaS Product Management or related technical leadership role.
  • Proven track record defining and operationalizing engineering performance metrics like DORA.
  • Expertise in AI's impact on software engineering workflows and associated risks.
  • Strong communication skills to influence technical stakeholders and executive audiences.
  • Experience partnering with engineering, security, and developer platform teams.
  • Bachelor’s degree in Engineering, Computer Science, or related field.

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