Senior Analytics Engineer

About Wispr
Wispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we're building the interfaces to make that a reality.

Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It's context-aware, personalized, and works anywhere you can type, on desktop or phone.

Dictation is just our first act. We're building the interaction layer for your computer — a system that's capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.

We're a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.

This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.

About The Role
We're looking for a
Senior Analytics Engineer
to help us design, build, and scale the analytical foundation that powers insights across product, growth, and operations. You'll work at the intersection of data engineering and analytics - transforming raw product, GTM, and finance data into clean, reliable models that enable everyone at the company to make better, faster, and data-informed decisions.

This role is highly cross-functional: you'll partner with Product, Marketing, Growth, and Finance teams to ensure our analytics stack is robust, scalable, and purpose-built for experimentation, reporting, and machine learning.

What You'll Do
Build the Data Foundation

• Own our dbt project—ensuring reliable, performant, well-documented data models.
• Design and maintain the ClickHouse data warehouse and ingestion processes.
• Create core entities and datasets that