Datadog
Staff Product Manager - Bits Release
New York, New York, USA · Staff+
Sponsorship not specified$244k-$305kDetected 3 days ago
SpringCode ReviewCI/CDDatadogSite Reliability EngineeringLLMsAccessibilityProduct ManagementCollaboration
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- 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.
Responsibilities
- 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.
- 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.
Requirements
- 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.
- Experience with sandboxed code execution, test generation, or replay systems.
- An inclusive company culture, ability to join our Community Guilds
Compensation
- $244,000 - $305,000 USD
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
- Datadog offers a competitive salary and equity package, and may include variable compensation.
- Own the vision, narrative, and roadmap for Bits Release end to end, from pre-merge to continuous production validation.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- 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.
- Work with senior engineers who expect you to track the AI frontier, hold technical opinions, and stay close to customers.
Visa & Work Authorization
- t 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
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This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.