Manager I, Engineering - Cloud FinOps
Engineering manager leading a data platform team that allocates cloud costs to products and customers. The role requires experience with reproducible batch pipelines, versioned financial metrics, cross-functional delivery, and cloud cost, billing, revenue, or financial data systems.
About the job
Responsibilities
- Lead and grow a team building Datadog’s cloud cost allocation platform for products and customers.
- Set operating rhythms across runtime and release, coverage onboarding, identity, and cost mapping.
- Own Finance’s publication contract, including versioned metrics, effective dates, backfills, and reproducible history for replayable closed periods.
- Define metric contracts with platform teams so cost facts are produced by the teams generating the cost.
- Partner with Revenue Engineering on cost-to-revenue identity joins for product- and customer-level margins.
- Improve product and customer cost coverage and accuracy while managing commitments with cross-functional teams.
- Distribute ownership of runtime and compiler architecture to reduce key-person risk.
- Use AI tools such as Claude Code and Cursor to improve team productivity.
Requirements
- Experience managing data platform or data engineering teams building batch and pipeline systems focused on correctness and reproducibility.
- Experience shipping versioned publications with effective dates, backfills, and reproducible history.
- Experience owning delivery commitments involving teams outside the reporting line.
- Domain experience in metering, usage-based billing, cloud cost, revenue data, or financial data platforms.
- Ability to define contracts, negotiate boundaries, and drive roadmaps independently.
Nice-to-haves
- Experience with audited or Finance-closed systems, including SOX scope, month-end close, or revenue recognition.
- Experience with graph datasets.
- Experience building retrieval-grounded systems with source citations and appropriate model trust boundaries.
Compensation and Benefits
- Estimated annual salary: $200,000–$250,000 USD
- New-hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Professional development, product training, and career pathing.
- Mentor and buddy programs.
- Mental health benefits and comprehensive healthcare, dental, parental planning, retirement, paid time off, fitness reimbursement, and employee stock purchase benefits.
Skills
Data Engineering, Data Platforms, Batch Systems, Pipeline Systems, Cloud Cost Management, Usage-Based Billing, Financial Data, Backfilling, Data Lineage, Metric Contracts, Graph Datasets, Claude Code, Cursor
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