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. 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 versus 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 4+ years of Product Management experience, with at least one 0→1 product or major feature launch. Entrepreneurial, comfortable operating with ambiguity, and able to define problems before solutions. Experience with developer tools, ML infrastructure, data platforms, or AI/LLM systems. Understanding or quick ramp on modern ML training workflows – distributed training, experiment tracking, hyperparameter tuning, artifact storage, evaluation pipelines. Familiarity with frameworks such as PyTorch, TensorFlow, JAX, or distributed training frameworks. Opinionated about product quality and developer experience, especially around APIs, SDKs, and workflows. Able to translate highly technical concepts into compelling product narratives. Comfortable making prioritization tradeoffs in fast-paced, competitive markets. Thrives in cross‑functional environments and can align engineering, design, and GTM around a clear strategy. Excited to build in a rapidly evolving AI ecosystem. 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 and internal panel discussions. Global mental health benefits for employees and dependents age 6+. Competitive global benefits. Salary: The reasonably estimated yearly salary for this role at Datadog is between $155,000 and $190,000 USD. About Datadog 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. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high‑growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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. Privacy and AI Guidelines 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 review the Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr The Consulting Solutions