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About the Role

As a Software Engineer III (L3) on Data Runtime, you'll design and build the systems that execute every query at Mixpanel. You'll contribute to the technical design for complex distributed-systems projects, from prototype to global rollout, on initiatives like elastic query compute, the distributed file cache, columnar storage internals, and compaction. You'll work alongside some of the most senior engineers at Mixpanel, partner with peer infrastructure teams and product teams on shared architecture, and have real influence over the technical direction of the compute layer that Mixpanel's AI-first future runs on.

Responsibilities

Design and build systems that execute every query at Mixpanel.
Contribute to the technical design for complex distributed-systems projects.
Drive initiatives like elastic query compute, distributed file cache, columnar storage internals, and compaction.
Partner with peer infrastructure teams and product teams on shared architecture.
Influence the technical direction of the compute layer.

Requirements

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
3+ years of professional software engineering experience building and operating data infra/backend systems.
A solid foundation in distributed systems or data infrastructure.
Experience owning a project or significant component end to end.
Strong technical communication, especially in writing.
Sound judgment in technical tradeoffs.
High ownership and accountability.
A desire to be at the forefront of the infrastructure powering AI-first analytics.

Skills

Go
C/C++
Python
SQL
Sharding/partitioning
Replication
Distributed scheduling
Work fanout/merge
Consistent hashing
Columnar formats (Arrow/Parquet or in-house equivalents)
Indexing
Compression
Distributed file/block caches
Admission and eviction policies
Tiered storage
Profiling (pprof, perf)
Concurrency
Memory management
Benchmarking
GCP (GCS, GKE, Spanner) or equivalent AWS/Azure
Kubernetes
Observability (metrics, tracing, logging)
SLOs
Incident management
AI-augmented engineering (LLM tooling)

Location

San Francisco Bay Area
New York

Work Type

Full-time
Hybrid

Experience Level

3+ years of professional software engineering experience
Senior-level

Education Level

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.

Benefits

Comprehensive Medical, Vision, and Dental Care
Mental Wellness Benefit
Generous Vacation Policy & Additional Company Holidays
Enhanced Parental Leave
Volunteer Time Off
Pre-Tax Benefits including 401(K)
Wellness Benefit
Holiday Break

About the Company

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build.
Mixpanel turns data clarity into innovation.
Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.
Mixpanel delivers insights that customers trust.
Mixpanel Engineering is a team focused on delivering real value to customers.
We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight.
Engineers here own problems end to end.
Our OLAP engine queries over 500 trillion events; a typical blob storage system we interact with processes 300 PiB/month at 1.2 Tbps sustained, and we run many of them across the world.
The Data Runtime team owns the data execution layer that powers every Mixpanel product.
We ensure that every customer query runs fast, cheap, and reliably, at any scale.
Mixpanel's agentic and AI-first products are driving rapid growth in query volume, and Data Runtime is making the big bets that power it.
We’re investing in elastic query compute and a distributed file cache that will let us scale query workloads dramatically without scaling cost with them.
We sit at the center of the data platform, interfacing daily with Query Serving, Streaming, Core Analysis, Data Foundation, Product, and other teams across the company.
The team combines deep expertise in high-scale distributed systems and backend engineering.
It's a senior-heavy team, including Staff-level engineers with years of context in the engine internals, which means you'll be surrounded by people you can learn from and grow with.
Teams operate as autonomous pods, with engineering, product, and design working side by side on clear strategic goals.
Teams have direct access to customer feedback, product usage data, business metrics, and design context.
We start with customer problems.
We reason from first principles.
We challenge assumptions.
We aim for simple solutions to complex problems and avoid unnecessary abstraction.
Engineering owns execution, quality, and operations.
There are no project managers, QA teams, or separate SREs.
Ownership stays with the people building the product.
We value written thinking, dashboards, and demos over slide decks.
We work openly using tools like Slack, GitHub, Mixpanel, Notion, Figma, and Zoom — and we lean heavily on AI-assisted development (Claude Code and beyond).
Our team is distributed across North America, with strong clusters in the San Francisco Bay Area and New York.
We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.
Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.
Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.
Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Equal Opportunity

Mixpanel is an equal opportunity employer supporting workforce diversity.
At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have.
We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.
We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.
Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.
We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.