The opportunity
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.
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 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.
What they're looking for
- 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.
- 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.
