D

Datadog

Builds monitoring and security tools for clouds

Research Manager - Post-Training for Observability Native Models

AI ResearchUpdated on Nov 13
Full-timeNew York, NY, USA$244k - $305k /yr

About the Job

Requirements

  • A PhD in Computer Science, Machine Learning, or a related field, or equivalent experience, with deep expertise in areas such as AI agents, decision models, post-training, or generative modeling.
  • Demonstrated ability to lead technically ambitious research at meaningful scale in an industry research lab, startup, academic environment, or another research setting.
  • Extensive hands-on experience designing or implementing training methods, simulated environments, synthetic data pipelines, or evaluation frameworks.
  • A track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements.
  • Experience operating at a senior technical level and leading, mentoring, and developing teams of researchers or engineers while remaining deeply hands-on in technical direction and execution.
  • Ability to communicate complex research findings effectively across technical and non-technical audiences.

Responsibilities

  • Lead post-training research for multimodal decision models and hybrid decision/generative systems to address research challenges in observability and security.
  • Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving.
  • Design and advance post-training methods and training loops for models operating in complex environments.
  • Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable model training and rigorous measurement.
  • Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities.
  • Share research findings with external audiences upon reaching significant project milestones.

About the Company

Datadog

Builds monitoring and security tools for clouds

Datadog builds monitoring and security software for developers and operations teams that run cloud applications, giving them a shared view of system health and performance. Its platform links infrastructure monitoring with application performance and log analysis so teams trace a problem across the systems involved. Software agents and integrations collect operational data, which teams explore through dashboards and alerts to find failures, investigate threats and improve the customer experience. The company sells subscriptions to individual products and combined plans, with charges tied to the resources and data monitored. Datadog was founded in 2010 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

Recently Posted Jobs

Explore more opportunities at Datadog

See more jobs