Senior Platform Product Manager, AI SDLC Trusted Throughput

Datadog

Confirmed live yesterday High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$192,000–$240,000 / yr
Posted
101 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $216k
$139k most similar roles pay here $251k

This role pays more than 71% of similar roles. Most pay $151,000–$222,187 — the shaded band above. At the midpoint, this role pays about $216k versus about $187k 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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At a glance

TL;DR · Senior Platform Product Manager, AI SDLC Trusted Throughput

As a Senior Platform Product Manager - AI SDLC Trusted Throughput, you will join the Internal Developer Platform team to define and drive the product strategy for safe, reliable software delivery at AI-native scale. You will be responsible for the roadmap and execution of initiatives that evolve software development lifecycle systems from human-supervised workflows into platforms with built-in safety, observability, and correctness guarantees. Your daily work involves partnering with engineering, security, and infrastructure teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows. You will focus on DORA metrics, deployment health indicators, and monitoring AI-generated changes to ensure compliance and trustworthy automation. The role requires expertise in B2B SaaS product management, developer platforms, and infrastructure tooling to solve the complex operational risks introduced by autonomous systems within the software delivery lifecycle.

What you'll do

  • Define the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives.
  • Drive platform outcomes aligned to DORA metrics to balance deployment velocity with operational safety.
  • Build automated validation, auditability, and risk-scoring capabilities into deployment workflows.
  • Deliver actionable SDLC observability and diagnostic capabilities across the software delivery lifecycle.
  • Develop systems to monitor and validate AI-generated changes for correctness and compliance.
  • Lead cross-functional initiatives involving security, infrastructure, legal, and governance stakeholders.

What we're looking for

  • You must have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role.
  • Experience is required in developer platforms, infrastructure, or SDLC tooling.
  • You must have experience defining and operationalizing engineering performance metrics, including DORA metrics.
  • You must possess a strong understanding of how AI transforms software engineering workflows and its associated risks.
  • You must be able to communicate complex technical concepts to engineering teams and executive audiences.
  • You should be comfortable navigating ambiguity and influencing highly technical stakeholders.
  • A Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience is required.

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