Senior Product Manager - Database AI Optimization
Datadog- Compensation
- $192k–$240k Published range
- Location
- Hybrid - New York, NY Remote eligibility
- Employment
- Full-time Senior
About the job
Company
Datadog is the leading observability and security platform for the AI era, providing unified visibility across the technology stack. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
Role
We are looking for an experienced product manager to lead the database AI optimization product opportunity, rethinking how customers operate and get value from their databases.
Responsibilities
- Lead ambitious investments that rethink how customers operate and get value from their databases.
- Develop a deep understanding of customer issues and improve database operationalization across SRE teams, DBAs, and application developers.
- Define, build, and launch the next generation of database monitoring and optimization capabilities.
- Collaborate with other product teams to maintain and improve all Datadog products.
- Partner with marketing and cross-functional teams to define Go-To-Market plans.
Qualifications
- 5+ years of experience as a Product Manager in cloud or developer tools, ideally with intimate experience with databases.
- Experience building AI products and evals including manual evaluations, golden data sets, LLM as judge.
- Comfortable using AI tools for research and building.
- Excellent verbal and written communication skills.
- Customer-focused with high quality standards.
Compensation
The reasonably estimated yearly salary for this role is $192,000—$240,000 USD.
Benefits
Datadog offers a competitive salary and equity package, including healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. New hire stock equity (RSUs) and employee stock purchase plan (ESPP) are also provided.
Application
Apply via the provided link.
Skills & tags
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