Manager I, Engineering - Cloud FinOps

New Yorkfull timeOn Sitesenior$200k–$250kH1B: yes

Datadog Engineering Manager for Datadog's Cloud FinOps team leading platform development for cloud cost allocation to products and customers. Own delivery, contracts with Finance and platform teams, and drive continuous improvement in cost coverage and accuracy.

Responsibilities

Lead and grow a team of engineers building the platform that allocates Datadog's cloud cost to products and customers, setting the operating rhythm across runtime and release, coverage onboarding, and identity and mapping.
Own the publication contract with Finance: versioned metrics with effective dates, backfill, and reproducible history, so any closed period can be replayed on demand and trusted for close.
Own the metric contracts with platform teams across Engineering, shifting cost facts to the teams that generate the cost so coverage growth stops scaling linearly with your headcount.
Partner with Revenue Engineering on the cost-to-revenue identity join that turns cost data into margin per product and per customer.
Drive continuous improvement in product and customer cost coverage and accuracy, and hold delivery commitments with teams that don't report to you.
Reduce key-person risk on runtime and compiler architecture by spreading ownership across the team, and use AI tooling (Claude Code, Cursor, and similar) to raise the team's speed and leverage.

Qualification

You bring domain experience in metering

Required

An engineering leader with experience managing data platform or data engineering teams building batch and pipeline systems judged on correctness and reproducibility.
You've shipped versioned publication with effective dates, backfill, and reproducible history.
You've held a delivery commitment with a team outside your reporting line, and you can describe what happened the first time a contract was missed.
You bring domain experience in metering, usage-based billing, cloud cost, revenue data, or financial data platforms.
You operate without a product manager in the loop on the external half of the job: you set the contracts, negotiate the boundaries, and drive the roadmap yourself.
If you've owned systems whose output is audited or closed by Finance (SOX scope, month-end close, revenue recognition), graph datasets or built retrieval-grounded systems where every answer cites its source and you know where a model shouldn't be trusted with a number at all, that is helpful experience.