Product Manager II - Model Lab

· Remote

Location

Remote

Type

Full Time

Job Description

Product Manager II - Model Lab

Reposted 3 Hours Ago
Easy Apply
New York NY USA
Hybrid
155K-190K Annually
Mid level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers IT ops teams and business users in the cloud age.
The Role
As a Product Manager II for Model Lab you will define and launch an experiment tracking platform for AI and ML teams focusing on product vision customer adoption and collaboration across teams.
Summary Generated by Built In

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:
$155000$190000 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. 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. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

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 visit Interviewing at Datadog AI Guidelines.

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The Company
HQ: New York NY
6500 Employees
Year Founded: 2010

What We Do

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.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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Date Posted

05/01/2026

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