Greenhouse ·
full-timeStaff Product Manger- Self Improving Software
Datadog · New York, New York, USA
Datadog is a monitoring and security platform for cloud applications. This Staff Product Manager role focuses on building a new product family centered on self-improving software. The position involves creating a closed-loop system that utilizes existing telemetry, behavioral data, and AI agents to analyze software performance, propose code changes, and verify results. You will lead this initiative from the initial concept phase, defining product direction, establishing quality benchmarks for non-deterministic AI systems, and determining the appropriate level of autonomy for automated processes. Day-to-day responsibilities include partnering with engineering teams to identify the most impactful features, recruiting early design partners, and managing the unit economics and pricing strategy for AI-driven inference. This role is suited for an experienced product leader with a proven track record of shipping AI-native products to production. The ideal candidate has deep experience in managing AI failure modes, building evaluation sets, and navigating zero-to-one product development. You should be comfortable working across technical and business functions, including engineering, finance, and marketing, to drive a complex, agentic product roadmap in a hybrid office environment.
As a Staff Product Manager on Datadog's Self-Improving Products team, you will take a new product family from zero to one: a closed loop that watches how a customer's software and its users behave, ranks what is worth changing, proposes the change, proves whether it worked, and carries the result into the next cycle. Datadog already holds every piece this product needs, including behavioral data from Product Analytics and Session Replay, full-stack telemetry from APM, Log Management, Error Tracking, and Continuous Profiler, rollout control through Feature Flags and Experimentation, and a coding agent in Bits AI Dev Agent that opens verified pull requests from production signal. You will own assembling these into one product where the loop closes on its own. This is founding work with no precedent inside Datadog, and an opportunity to grow as a product leader by shaping the scope, recruiting the first design partners, and setting the quality bar for an AI-native product from the ground up. 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: Set product direction for a new product family by defining the problems and desired outcomes, and partnering with engineering to find the narrowest first slice that proves the loop closes and delivers value to customers in phases. Own the product decisions at every stage of the loop: what signal is trustworthy enough to trigger an automated change, which opportunities rank highest and with what confidence, what a proposed change must contain before a customer merges it, what evidence proves it worked, and what the system remembers for the next cycle. Define the autonomy ladder and its limits, from suggestion, to draft, to auto-opened pull request, to auto-rollout, along with the controls, defaults, and audit trail customers need to rely on it. Some rungs stay off by design, and you own those decisions. Set the quality bar for a product that is non-deterministic: build the evaluation sets with engineering, decide what "good enough to ship" means, and hold that bar when it moves a date. Recruit the first design partners yourself, sit in their triage rotations, turn what you learn there into the roadmap, and keep talking to them after launch. Develop and defend the sizing, impact, and cost-to-serve analysis that engineering leadership and pricing partners need to make resourcing calls, partnering with engineering on the unit economics of inference and the data platform and bringing that cost profile into packaging, metering, and pricing before launch rather than after. Deliver concise written and verbal communication to executive, engineering, and customer audiences, clarifying complex architecture, quality trade-offs, and go-to-market, including where agentic observability, product analytics, and experimentation are heading and how that shapes the product. Who You Are: You have shipped AI products, not prototypes: you have taken at least one AI-native product to production customers, and you can describe what it got wrong in the field and what you changed in response. You treat evaluation as product work: you have built or commissioned evaluation sets, set the bar for shipping a model or prompt change, and held that bar under schedule pressure. You are fluent in agent failure modes and design for non-determinism deliberately, accounting for confidence, reversibility, blast radius, review surfaces, and graceful failure. You have a zero-to-one track record: you have started something with no roadmap and no team and got it to customers who renewed, you narrow ruthlessly, and you have ended a direction you championed and can explain why. You read across staff engineers, consuming product teams, sales and FinOps, marketing, and finance, and turn diffuse signals into a defensible product position. You are collaborative, opinionated, and comfortable with ambiguity: you build trust quickly with engineers, PM peers, designers, and commercial partners, you bring strong product opinions and adapt as new evidence emerges, and you write the document that gives diffuse work a shape. You have 8+ years of Product Management experience, or a track record showing Staff-level capabilities in related software roles. We weigh shipped AI products and zero-to-one evidence more heavily than years. You have a Bachelor's degree in Computer Science, Engineering, or equivalent experience (preferred). 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 trainin
| Role | Staff Product Manger- Self Improving Software |
|---|---|
| Company | Datadog |
| Location | New York, New York, USA |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-10-02 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Datadog
Datadog provides a modern monitoring and security platform designed for developers, IT operations teams, and business users operating in the cloud. The company's platform offers a wide range of capabilities, including infrastructure, network, container, and serverless monitoring, as well as application performance monitoring, log management, and cloud security. These tools are utilized by organizations across various industries, such as financial services, healthcare, retail, and technology, to enable digital transformation and drive collaboration across teams. Datadog employs over 8,100 people globally and continues to expand its presence to support customers across diverse markets and regions.
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