Staff Product Manager, Observability Data Platforms

Datadog · New York, New York, USA · Product Management · listed July 14, 2026

The shape of it

Seniority
Manager
Experience asked
8+ years
Where
Hybrid
Stated pay
$244,000 – $305,000 USD
Requirements listed
7
Length
1,254 words

In the posting’s own words

As a Staff Product Manager on Datadog's Observability Data Platform (ODP) , you will lead product management for a portfolio of foundational platform bets — work that changes the cost structure and capability of the platform itself, not the cost of any single feature.

What it asks for · 7

  • Strong systems thinker : you connect cause and effect across the data platform — from intake through query — and hold the throughline as scope evolves.
  • Cross-org synthesizer : you read across staff engineers, consuming product teams, sales / FinOps, and finance, and turn diffuse signals into a defensible product position.
  • Sizing and impact estimation chops : you can build a credible cost-and-impact model for work that spans multiple engineering teams and defend it in front of engineering leadership.
  • Collaborative and opinionated : you build trust quickly with engineers, PM peers, designers, and commercial partners; bring strong product opinions and adapt when new evidence emerges.
  • Comfortable operating with ambiguity and breadth : you thrive in foundational platform work where the scope shapes itself over multiple quarters.
  • Product management skill : you have 8+ years of Product Management experience or a track record showing Staff-level capabilities in related software roles.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

What the job covers

  • Set product direction across foundational platform bets by defining problems and desired outcomes, partnering with engineering to determine slices of work that drive value in phases for users and the business.
  • Collaborate on the long-term cost-and-value architecture of the platform — how value-aware telemetry, innovative data engines, and customer-facing cost stories fit together over multiple quarters.
  • Develop and defend sizing and impact estimates for large, diffuse programs — credibly produce the analysis that engineering leadership and pricing partners need to make resourcing and prioritization calls.
  • Anticipate and communicate market trends in telemetry economics and agentic observability and how they shape platform investment.
  • Develop deep understanding of cost-to-serve by partnering with engineering on the unit economics of the data platform and bring that cost-profile understanding into collaborative discussions with product verticals about customer-facing trade-offs.
  • Surface the customer-positive angles in cost work that engineering-led optimization tickets don't currently make visible.
  • Deliver concise written and verbal communication to executive, engineering, and customer audiences; clarify complex architecture, cost-to-serve, and product priorities for each.

Degree language

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

Tools and skills named

Cloud & infra
  • Datadog4×
  • Observability3×
Product & design
  • Product management7×

Words the posting leans on

  • product20×
  • platform16×
  • engineering15×
  • cost8×
  • telemetry6×
  • bring5×
  • data platform5×
  • experience5×
  • foundational platform5×
  • product management5×
  • architecture4×
  • build4×
  • collaborative4×
  • cost-to-serve4×
  • customer-facing4×
  • defend4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Datadog on August 24, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.