Senior Software Engineer; Analytics Compute Platform team

United States Digital Space LLC; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Medical coverage

Parental benefits

Mental health benefits

ESPP

Home office stipend

Flexible time off

Job summary

United States Digital Space LLC is seeking a Senior Software Engineer for the Analytics Compute Platform Team in San Francisco. You will design core parts of the query/compute engine and evolve the compute API to support a more generic table across product lines.

You will collaborate with data management, marketing analytics, and product teams to deliver a fast, reliable analytics stack with scalable compute and data models.

Qualifications

• Strong backend or distributed-systems experience, ideally touching OLAP databases, query engines, or data infrastructure.
• Experience with SQL, query planning/execution, or building APIs used by multiple teams.
• Ability to balance flexibility, performance, and ease of use with deliberate tradeoffs.
• Proven track record owning ambiguous, cross-team projects end-to-end.

Responsibilities

• Design and build core parts of the query/compute engine powering analytics.
• Evolve the compute API and semantic layer for a more generic table.
• Unify and evolve the core data model alongside event and non-event data.
• Improve performance, reliability, and scalability of query planning and execution.
• Collaborate across teams to shape the compute layer to their needs.
• Take ownership of projects end-to-end from design through rollout.

Skills

Backend engineering

Distributed systems

SQL

API design

Cross-functional collaboration

OLAP databases

Tools

Columnar databases

OLAP engines

Job description

the company 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. Ranked #1 across multiple categories in G2's Winter 2026 Report, the company is the best-in-class solution for product, data, and marketing teams. Learn more at the company.com.

As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

the company’s Commitment to Diversity Equity & Inclusion (DEI): the company believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection that will allow employees of all backgrounds to thrive.

Senior Software Engineer - Analytics Compute Platform Team

About the Role & Team

Every chart, insight, and experiment result a customer sees in the company passes through the compute layer that this team owns. Our team sits between the company'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.

As a Senior Software Engineer, you will

• Design and build core parts of the query/compute engine that powers analysis across the company'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 the company 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

You'll be a great addition to the team if you have

• 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

Bonus points for

• 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

Example projects you might work on

• 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 the company data lets AI agents, third-party tools, and warehouse-native workflows query the company 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 the company and who can use it.

Who We Are

The Company: 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: the company 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)

Other fun facts about the company:

• 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 abo