Jobs / United States / Datadog INC

Datadog INC

Staff Product Manager, Metering and Attribution

New York, New York, USA Posted today

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Skills this job asks for

Product managementTranslationLeadership

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Datadog INC paid sponsored hires in similar roles6 certified filings for “Product Manager II” (Information Technology Project Managers) in NY: $181k–$205k, median $195k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Datadog INC paid sponsored hires in similar roles
6 certified filings for “Product Manager II” (Information Technology Project Managers) in NY: $181k–$205k, median $195k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Revenue Engineering builds the platform that measures how customers use Datadog and turns that measurement into usage and cost data they can act on. Every product Datadog ships is metered here. Every customer who wants to see which team, service, or business unit drove their usage sees it through this layer. 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. The role starts with tagging: the mechanism customers use to attribute usage to owners inside their organization, and the foundation that cost allocation, chargeback, quotas, and governance build on. From there you will shape the metering capabilities that new pricing and packaging models draw on, and extend the platform's speed and scale as Datadog's portfolio grows. Over time you will own the vision and roadmap for a usage platform used by every team at Datadog and relied on by every customer. The usage layer is the system of record for consumption, and it is what billing draws from. What you own is the path from usage events to billable output, along with the consumption models, cost attribution, and usage analytics that customers and their finance teams use to understand their spend. You will partner closely with the billing platform team across that boundary. Usage and cost attribution reach across a broad portfolio of billable metrics, several regions, and customers organized into parent and child organizations and reseller hierarchies, and they surface in units and in dollars, in-app, through the API, and in agentic workflows. Designing for that range means making deliberate choices about granularity, timeliness, and flexibility, and holding those choices steady across the many teams that build on them. This is a highly visible individual contributor role spanning several engineering teams, every product vertical that emits billable telemetry, and partners in Sales, Support, and Finance. What You'll Do: • 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 co

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