The opportunity
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever.
What you'll do
Design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite
Evolve the compute API and semantic layer that other engineering teams build: features on top of, so that it can support a more generic table
Help unify and evolve our core data model, including how non-event data: (profile properties, lookup tables, etc.) is represented alongside event data
Improve the performance, reliability, and scalability of query planning and: execution on the Amplitude query engine
Partner with teams across Session Replay, Experiment, CDP, Query, and: frontend to understand their needs and shape the compute layer around them
Take ownership of projects end-to-end, from design through rollout
What they're looking for
- Strong backend or distributed-systems engineering experience, ideally: touching OLAP databases, query engines, or data infrastructure
- Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on
- Comfort reasoning about tradeoffs between flexibility, performance, and ease: of use and making deliberate calls between them
- A track record of owning ambiguous, cross-team projects end-to-end rather: than just executing well-scoped tickets
