datadog
Director of Product Management, AI Observability
At a Glance
- Location
- New York, United States
- Work Regime
- hybrid
- Posted
- 2026-04-09T11:37:22-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions.
You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences.
You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution.
You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products.
You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions.
You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact.
Compensation & Benefits
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intra-departmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds
Access to Inclusion Talks, our Internal panel discussions
Free, global Spring Health benefits for employees and dependents age 6+
Responsibilities
for AI-driven products, ensuring alignment with overall company goals and customer needs.
This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products.
of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features.
Collaborate with cross-functional teams
including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives.
for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business.