Staff Product Manager - Bits Release
$244k - $305kDatadog
The opportunity: AI coding agents now write code 100x faster than humans can review it, but new bottlenecks mean companies aren't shipping as fast as their agents can write code. We believe the major bottleneck is correctness, and it’s shifting from human code review to continuous, production-grounded validation at every stage of software delivery.Bits Release is an early-stage product that carries every change through the release lifecycle: it reviews the code, validates the change before merge, follows the rollout through staging and production, detects regressions, simulates and proposes fixes, and converts what it catches into permanent safeguards. It fuses Datadog's production signals coupled with newer capabilities like Bits Testing and Live Debugger in a single agentic harness, so companies can ship at the speed their agents write.At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.What you'll do:Own the vision, narrative, and roadmap for Bits Release end to end, from pre-merge to continuous production validation.Partner with customers, internal software engineers and design on a developer experience that earns developers' trust and gets out of the way once it's earned.Drive packaging and pricing to a decision (per-investigation consumption vs. continuous platform capability) with finance and product leadership.Treat agent quality as the product. Own the evals, reliability targets, and KPIs that prove Bits Release works, and keep proving it as it scales.Work with senior engineers who expect you to track the AI frontier, hold technical opinions, and stay close to customers.Partner with product marketing, advocacy, and sales to take Bits Release from preview to GA, with a story that lands for the SREs who buy it and the developers who use it.Who you are:6+ years of product management (or 4+ with a deep technical background), with meaningful time on developer tools, CI/CD, observability, or SRE/platform products.You've shipped an LLM or agentic product: you know what good evals look like, how to debug nondeterministic systems, and how to weigh cost, latency, and quality tradeoffs in production.You use AI coding agents daily and have strong opinions about what releasing software means two to three years from now.Deep SDLC fluency: PR workflows, CI systems, deployment strategies (canary, blue-green, feature flags, progressive rollout), and production signals (traces, logs, RUM, synthetics, error tracking).You're at your best when the problem is still ambiguous.You're an exceptional writer and speaker. We write, sharpen, and defend our narratives continuously, often to executive audiences.Bonus points:Background as a software engineer, SRE, or platform engineer.Experience with sandboxed code execution, test generation, or replay systems.Exposure to a broader set of tooling and signals like product analytics, session replays, APM or RUM.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 & Growth:New hire stock equity (RSUs) and employee stock purchase plan (ESPP)Continuous professional development, product training, and career pathingIntra-departmental mentor and buddy program for in-house networkingAn inclusive company culture, ability to join our Community GuildsAccess to Inclusion Talks, our Internal panel discussionsFree, global Spring Health benefits for employees and dependents age 6+Competitive global benefitsBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.#LI-HybridDatadog 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:$244,000—$305,000 USDAbout 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. Privacy and AI Guidelines:Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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