Product Manager II - Model Lab

As a Product Manager II for Model Lab, you will define and launch Datadog’s experiment tracking platform built for teams training and fine-tuning foundational models. Model Lab centralizes metrics, hyperparameters, datasets, code versions, artifacts, and lineage to help ML and AI teams achieve reliable, reproducible, and explainable training runs at scale.

This is a 0→1 opportunity to build a new product that will be deeply integrated into Datadog’s observability platform. You will shape the product vision, validate the market, and drive execution for a new category-defining offering that serves AI research, ML platform, and applied AI teams.

At Datadog, we value our office culture — the relationships it builds, the creativity it fosters, and the collaboration that comes from working together. We operate as a hybrid workplace to help employees create a work-life harmony that fits their needs.

What You'll Do:

• Define the vision and strategy for Model Lab, establishing Datadog’s position in experiment tracking and model training observability
• Lead 0→1 product discovery with AI research teams, ML platform engineers, and infrastructure leaders to deeply understand experiment tracking workflows and pain points
• Design a system that unifies training metrics, hyperparameters, artifacts, dataset lineage, and model evaluation into a coherent and scalable experience
• Identify differentiation opportunities vs. competitive alternatives and homegrown internal tooling
• Partner closely with engineering and design to ship foundational capabilities such as experiment lineage, artifact versioning, distributed training visibility, and reproducibility workflows
• Collaborate with go-to-market teams to define packaging, positioning, and early customer programs
• Drive early customer adoption, including design partnerships and private beta programs
• Translate ambiguous, research-oriented workflows into clear product primitives and APIs
• Establish success metrics and iterate quickly based on user feedback and usage data

Who You Are:

• You have 4+ years of Product Management experience, with at least one 0→1 product or major feature launch
• You are entrepreneurial and comfortable operating with ambiguity, defining problems before defining solutions
• You have experience with developer tools, ML infrastructure, data platforms, or AI/LLM systems
• You understand (or can quickly ramp on) modern ML training workflows — distributed training, experiment tracking, hyperparameter tuning, artifact storage, evaluation pipelines
• You have familiarity with frameworks such as PyTorch, TensorFlow, JAX, or distributed training frameworks
• You are opinionated about product quality and developer experience, especially around APIs, SDKs, and workflows
• You can translate highly technical concepts into compelling product narratives
• You are comfortable making prioritization tradeoffs in fast-paced, competitive markets
• You thrive in cross-functional environments and can align engineering, design, and GTM around a clear strategy
• You are excited to build in a rapidly evolving AI ecosystem

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. If you’re passionate about building technical products and want to shape the future of AI infrastructure, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of employment and the nature of employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is: $155,000—$190,000 USD

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog: 

Datadog is proud to offer equal employment 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 protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.