LocationNew York, New York, USA
Work styleHybrid
TypePermanent
ScheduleNot specified
Remuneration 0k
Start dateIt fuses Datadog's production signals coupled with newer capabilities like…
DeadlineNot stated
Required languagesNot stated
About the role
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.
Stay in Aptiora while you decide.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 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.
Helpful, not always essential
- 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.
Conditions
- 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.
How they work
- 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.
- #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation.
How to apply
- If you’re passionate about technology and want to grow your skills, we encourage you to apply.
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Benefits & working conditions
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring 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
- The reasonably estimated yearly salary for this role at Datadog is:
- $244,000—$305,000 USD
About Datadog
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