The opportunity
Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context.
What you'll do
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.
Collaborate with other Product teams in Datadog to maintain and improve all: Datadog products, improve the seamless integration across them, and help customers identify incidents root cause and navigate through telemetry faster
Partner with marketing and cross functional teams including sales, customer: success and support teams, to define Go-To-Market plans and strategy for database monitoring, data observability and APM features
What they're looking for
- Continuously evolve the product practice and the product itself with the: latest technologies, including AI tools and agents
- 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
