Staff Product Manager, Metering and Attribution

Datadog · New York, New York, USA · Product Management · listed October 30, 2026

The shape of it

Seniority
Manager
Experience asked
8+ years
Where
Not stated
Stated pay
$244,000 – $305,000 USD
Requirements listed
7
Length
1,450 words

In the posting’s own words

As a Staff Product Manager for Metering and Cost Attribution , you will own product direction for that platform. You will set the standard for how usage is measured, attributed, and presented across Datadog.

What it asks for · 7

  • A strong systems thinker : you can follow cause and effect from telemetry intake through metering, aggregation, attribution, and the bill, you reason about unit economics and cost-to-serve alongside customer experience, and you hold the throughline as scope evolves across quarters.
  • Fluent in data models and pipelines : you are at home in the concepts that usage data depends on, including event pipelines, usage aggregation, cardinality, deduplication, backfills, and processing latency, and you understand how they shape what a customer can be shown.
  • A cross-org synthesizer : you read across engineering teams, Support, Sales, Finance, and product verticals, and turn diffuse signals into a defensible product position.
  • Rigorous about quality : you treat accuracy in usage and cost data as a product standard you personally own, and you know how to balance investment in quality with new capability.
  • Collaborative and opinionated : you build trust quickly with engineers, PM peers, designers, and commercial partners, you influence senior stakeholders without direct authority, and you adapt when new evidence emerges.
  • Experienced in product management : you have 8+ years of Product Management experience, or a track record showing Staff-level capabilities in related software roles, with significant ownership of complex technical products. You are comfortable operating with ambiguity and breadth in platform work where the scope shapes itself over multiple quarters.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Also a plus

  • Experience with high-cardinality telemetry and the cost and pricing tradeoffs it creates.
  • Experience with usage-based or consumption-based monetization, including metering, rating, and cost allocation.
  • Familiarity with usage-based billing infrastructure such as Metronome, Orb, m3ter, Amberflo, Zuora, or Stripe Billing, or with FinOps tooling such as CloudZero, Vantage, or Finout.
  • Experience owning a platform capability consumed by many internal product teams, including the adoption and onboarding motion that goes with it.
  • Experience with pricing and packaging, and comfort reasoning about margin and cost-to-serve alongside a packaging change.
  • Exposure to the FinOps Foundation framework or the FOCUS specification, and to chargeback, showback, and tag governance at enterprise scale.

What the job covers

  • Set product direction for metering and attribution by defining the problems and outcomes that matter from usage events through billable output, holding a multi-quarter view of how the platform should evolve, and collaborating with multiple engineering teams to sequence work into phases that deliver clear customer value along the way.
  • Own the tagging model as a customer-facing product , giving customers a consistent way to define tags across every product, translating those tags into granular usage and cost breakdowns wherever they surface, and designing how customers adjust and reconstruct attribution when their tagging changes.
  • Define the metering and rating capabilities that pricing and packaging depend on , working ahead of launches on usage aggregation, unit definitions, commitments, included usage, and overage, so that the metering platform stays ahead of Datadog's commercial needs.
  • Act as the subject matter expert for metering and cost attribution across Datadog , setting the standard that product verticals build against when they bring a new SKU into usage attribution, aligning engineering, Cloud Cost Management, Support, Sales, and Finance on a single cost allocation model, and mentoring product managers taking on metering work in their own areas.
  • Own the quality standard for usage data , translating what customers need in accuracy, timeliness, and auditability into product requirements and service objectives, keeping measured usage, attribution, and billing consistent with one another, and producing the sizing and impact analysis that engineering leadership and pricing partners need to resource the work.
  • Build agentic capabilities on top of usage , surfacing an unexpected change in consumption early, explaining which teams and services drove it, and recommending what the customer can do next. Own the data contracts and interfaces that let agents across Datadog reason about usage.
  • Anticipate market movement in cost allocation and cost governance , tracking how FinOps practice, cloud provider primitives, and specialist vendors are evolving, shaping Datadog's investment in response, and engaging customers directly through preview programs, design partnerships, and industry forums.

Degree language

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

Tools and skills named

Cloud & infra
  • Datadog9×
Product & design
  • Product management3×
  • Roadmap
Go to market
  • Partnerships
Ways of working
  • Mentorship

Words the posting leans on

  • usage21×
  • product17×
  • cost14×
  • customers14×
  • attribution9×
  • metering9×
  • platform9×
  • engineering7×
  • experience7×
  • build6×
  • data6×
  • every6×
  • billing5×
  • models5×
  • pricing5×
  • billable4×

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 October 31, 2026 and last changed by Datadog on October 30, 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.