datadog
Senior Product Manager - Database AI Optimization
At a Glance
- Location
- New York, United States
- Work Regime
- hybrid
- Experience
- 5+ years
- Posted
- 2026-06-01T06:22:17-04:00
Requirements
You’re comfortable using AI tools for research and building
You have experience building AI products and evals including manual evaluations, golden data sets, LLM as judge, to measure and improve AI product quality
You have 5+ years of experience as a Product Manager in cloud or developer tools, ideally including intimate experience with databases
You are customer focused with high quality standards for your products
You are passionate to work in a high growth and impact environment to build new products and scaling existing ones
Datadog values people from all walks of life.
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
Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products.
Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers.
Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g.
AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc
Define, build and launch the next generation of database monitoring and optimization capabilities for our customers
Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource.