Drimva

Datadog

Staff Product Manager - Self Improving Software

$244K–$305K

New York, New York, USA +1 · Staff · Full-time · Posted Sep 2, 2026

Location
New York, New York, USA
New York, NY, United States
Experience
8+ years of Product Management experience, or a track record showing Staff-level capabilities in related software roles; shipped AI products and zero-to-one evidence are weighted more heavily than years.
Education
Bachelor's degree in Computer Science, Engineering, or equivalent experience (preferred).

About the job

Lead the zero-to-one development of an AI-native product that uses customer behavior and software telemetry to identify, propose, and validate software changes in a self-improving loop.

What you'll do

  • Set product direction, define the first product scope, and build the roadmap with engineering and design partners.
  • Define automation levels, quality and evaluation standards, customer controls, and evidence for validating changes.
  • Develop product sizing, impact, unit economics, packaging, and pricing analyses; communicate product decisions to customers and internal stakeholders.

What they ask for

  • Shipped at least one AI-native product to production customers and can describe field learnings and changes made.
  • Built or commissioned evaluation sets and set and maintained a shipping bar for model or prompt changes.
  • Demonstrated a zero-to-one track record, taking a product from no roadmap or team to customers who renewed.
  • 8+ years of Product Management experience, or a track record demonstrating Staff-level capabilities in related software roles.

Nice to have

  • Bachelor's degree in Computer Science or Engineering, or equivalent experience (preferred).

Pay

$244,000 to $305,000 USD yearly salary (base salary)

Tools

Product Analytics, Session Replay, APM, Log Management, Error Tracking, Continuous Profiler, Feature Flags, Bits AI Dev Agent

AI focus

Lead an AI-native self-improving software product that ranks opportunities, proposes changes, validates outcomes, and carries learning into future cycles; set evaluation standards and autonomy controls for non-deterministic, agentic behavior.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)