Datadog

Datadog

Research Manager - Post-Training for Agents

New York, New York, USA

Sponsorship not specified$244k-$305kDetected 7 days ago
DatadogMachine LearningData EngineeringAgentic AIA/B TestingAccessibilityResearchLeadershipCollaborationProblem SolvingMentoring

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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.

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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.

Green-card follow-through: 100%

Of 8 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

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

  • You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems.
  • We know not everyone will meet all the above qualifications on day one.
  • If you're passionate about technology and want to grow your experience, we encourage you to apply.

Responsibilities

  • Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement
  • Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities
  • As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work.
  • You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog's product and engineering teams to translate research advances into products.
  • This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team.
  • Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris

Requirements

  • You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Compensation

  • $244,000 - $305,000 USD

Benefits

  • Competitive global benefits
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Datadog offers a competitive salary and equity package, and may include variable compensation.
  • Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security
  • Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments
  • You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling
  • You have extensive hands-on experience designing or implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks
  • Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Company info

  • It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
  • At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table.
  • 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.

Equal opportunity

  • Equal Opportunity at Datadog:

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.