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$200k–$250k/yr
Full-time
Stock equity, Employee stock purchase plan, Professional development, Product training, Career pathing, Mentor and buddy program
Posted 10d ago
~40 hrs/week
Responsibilities
Lead and grow an engineering team responsible for building the platform that allocates cloud costs to products and customers. Establish and maintain metric contracts with Finance and platform teams to ensure accurate, reproducible cost reporting.
Requirements
Requires experience managing data platform or data engineering teams with a focus on batch and pipeline systems. Candidates must have domain expertise in cloud cost, usage-based billing, or financial data platforms.
Full job description
Datadog's Cloud FinOps team answers a question the business runs on: what does each product and each customer actually cost us to serve? Finance uses this team's output to close Datadog's books, Product uses it to compare cost to serve against what a customer pays, and engineering leaders use it to catch cost movements before they compound. As the Engineering Manager for this team, you'll own delivery across the runtime pipeline, coverage onboarding, and cost-to-customer identity mapping. You'll own the contracts that Finance and platform teams depend on. The core engineering problem is reproducibility: every dollar of cloud cost is placed against the product and customer that caused it, with lineage on every result and closed periods that replay exactly. This role starts by closing a coverage gap and grows into owning the model every platform team at Datadog onboards through.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You'll Do:
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.
Who You Are:
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.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our Internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-HYBRID
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$200,000—$250,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Datadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.
Industry
Software Development
Company size
1,001-5,000 employees
Founded
2010
Headquarters
New York, NY
LinkedIn followers
579,924
Total funding
$1.0B
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
Offices: 620 8th Ave, 45th floor, New York, NY 10018, US · 225 Franklin St, 24th Fl, Boston, Massachusetts 02110, US · 21, Rue de Châteaudun, Paris, Ile-de-France 75009, FR · Weteringschans 165 C, Amsterdam, NH 1017 XD, NL · 3340 Peachtree Rd NE, Atlanta, Georgia 30326, US
Based on 6027 listings with disclosed salaries, most engineering jobs in New York, NY pay between $80k–$225k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in New York, NY right now?
There are currently 7,158 open engineering positions in New York, NY listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in New York, NY?
Companies currently hiring include New York City Housing Authority (NYCHA), Amazon, Capgemini, JPMorganChase, New York Life, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in New York, NY?
Yes — 2865 of the 7158 open engineering positions offer remote or hybrid work (533 remote, 2332 hybrid).
How do I apply for Engineering jobs in New York, NY?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.