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