СШАSenior Software Engineer; Analytics Compute Platform team
1 мес. назад
167k–230k USD / годСШАSenior
apiquery enginedata modelperformance optimizationscalabilityreliability
Senior Software Engineer role focusing on building and improving the Analytics Compute Platform that powers core data queries and insights for 's products.
Обязанности
- Every chart, insight, and experiment result a customer sees in passes through the compute layer that this team owns. Our team sits between 's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer.
- Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff.
- Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query, and various product teams, since they're all consumers of what we build.
Требования
- 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
- Strong cross-functional collaboration skills; this team's work only matters in the context of the products built on top of it
Будет плюсом
- Experience with large-scale event or time-series data systems
- Experience designing semantic layers, ORMs, or other data-modeling abstractions
- Familiarity with columnar databases or OLAP query engines
- Experience integrating a data platform with external tools or AI/agent workflows
Другое
- Design and build core parts of the query/compute engine that powers analysis across '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 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
- New compute schema and parallelization — redesigning how queries are represented internally to unlock faster, more parallelizable execution.
- Deeper session-based analysis — extending our session-analysis capabilities with new filters and formula support.
- Smarter result caching — improving both the actual and perceived speed of the query engine.
- Extending SQL as an interface into 's data lets AI agents, third-party tools, and warehouse-native workflows query data directly and reliably. Paving the way for us to run directly on an external warehouse.
- Bringing non-event data into the core model — representing things like customer profile properties, sessions, and lookup tables alongside event data, so features can be built against a single consistent model quickly and computed efficiently.
- Data access controls , giving enterprise admins fine-grained control over who can access sensitive data, so they can confidently expand what they send into and who can use it.
- ** **Who We Are
- The Company: is filled with humble, life-long learners who are eager to help one another and the company succeed. Our values of growth mindset, ownership, and humility are core to the way we work: we’re tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view.
- The Product: is a digital analytics platform—we help companies capture data they can trust, uncover clear insights about customer behavior, and take faster action. This empowers teams to build better product experiences that drive business growth. We’re super proud of what we’ve built and continue to expand: a platform that empowers companies to thrive in the digital era.
- We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.
- Some of our benefit programs include:
- Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
- Flexible time off, paid holidays, and more
- Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual), and much more
- Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
- Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only)
- Employee Stock Purchase Program (ESPP)
- We were recognized in the Newsweek Excellence Index 2024 .
- Our customers love us! They've said we're the #1 product analytics solution for 19 quarters in a row on G2.
- We care A LOT about product innovation. Fast Company called us the #3 most innovative enterprise company in the world.
- We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
- We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
- We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
- We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
- Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.
- provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
- This role is eligible for equity, benefits and other forms of compensation.
- Based on legislation in California, the following details are for individuals who will work for California: California salary range: $167,000 - $230,000 base salary (inclusive of bonus or commission)