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Datadog

Builds monitoring and security tools for clouds

Staff Product Manager - Metering and Attribution

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$244k - $305k /yrIn-person

About the Job

Requirements

  • Have 8 or more years of Product Management experience, or a track record demonstrating Staff-level capabilities in related software roles with significant ownership of complex technical products.
  • Hold a bachelor's degree in Computer Science or Engineering, or have equivalent experience.
  • Be fluent in data models and pipelines, including event pipelines, usage aggregation, cardinality, deduplication, backfills, and processing latency.
  • Be able to reason about telemetry intake, metering, aggregation, attribution, billing, unit economics, cost-to-serve, and customer experience.
  • Translate signals across engineering, Support, Sales, Finance, and product verticals into a defensible product position.
  • Own accuracy in usage and cost data and balance quality investment with new capability.
  • Influence senior stakeholders without direct authority and work effectively with engineers, product managers, designers, and commercial partners.

Responsibilities

  • Set product direction for metering and attribution by defining problems and outcomes from usage events through billable output, maintaining a multi-quarter platform vision, and sequencing work with engineering teams into phases that deliver customer value.
  • Own the customer-facing tagging model, providing consistent tags across products, translating tags into granular usage and cost breakdowns, and designing how customers adjust and reconstruct attribution when tags change.
  • Define metering and rating capabilities needed for pricing and packaging launches, including usage aggregation, unit definitions, commitments, included usage, and overage.
  • Serve as the subject matter expert for metering and cost attribution, set standards for product verticals introducing SKUs, align engineering, Cloud Cost Management, Support, Sales, and Finance on a cost-allocation model, and mentor product managers working on metering.
  • Set product requirements and service objectives for usage-data accuracy, timeliness, and auditability; keep measured usage, attribution, and billing consistent; and produce sizing and impact analyses for engineering leadership and pricing partners.
  • Build agentic capabilities that surface unexpected consumption changes, explain the teams and services driving them, recommend customer actions, and define data contracts and interfaces for agents to reason about usage.
  • Track developments in FinOps practice, cloud-provider primitives, and specialist vendors; shape Datadog's investment response; and engage customers through preview programs, design partnerships, and industry forums.

Desired Qualifications

  • 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 FinOps tools such as CloudZero, Vantage, or Finout.
  • Experience owning a platform capability consumed by many internal product teams, including its adoption and onboarding motion.
  • Experience with pricing and packaging, including reasoning about margin and cost-to-serve alongside a packaging change.
  • Exposure to the FinOps Foundation framework or FOCUS specification, and to chargeback, showback, and tag governance at enterprise scale.

About the Company

Datadog

Builds monitoring and security tools for clouds

Datadog builds monitoring and security software for developers and operations teams that run cloud applications, giving them a shared view of system health and performance. Its platform links infrastructure monitoring with application performance and log analysis so teams trace a problem across the systems involved. Software agents and integrations collect operational data, which teams explore through dashboards and alerts to find failures, investigate threats and improve the customer experience. The company sells subscriptions to individual products and combined plans, with charges tied to the resources and data monitored. Datadog was founded in 2010 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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