Location: San Francisco (Hybrid: 3 days in SoMA) | London (Hybrid: 3 days in Tower Bridget, w/ opportunity to travel to SF)
Type: Full-Time
Team: Research Tribe
Focus: Senior Data Scientist - Personas & Behavioral Profiles (Open Mid + Senior Level)
Who We Are
We're a team of founders, engineers, researchers, creatives, and operators building what we believe will be one of the defining companies of the AI era.
Some of us came from startups. Some from academia. Some from hospitality, defense, design, or completely different worlds. We don’t care how you got here - we care about your energy, intelligence, curiosity, resilience, and ambition.
Who We Are Not
- We are not remote. We value the spontaneous moments that happen when we’re together - over dinner, in the hallway, around whiteboards. We like being around each other because the best conversations here rarely happen in meetings.
- We are not your typical team. It’s not just the 10 countries we’re from, the languages we speak or our non-traditional backgrounds. We’re solving hard problems with people we respect - we make the most of our time together, we make it special.
- We are not "researching to learn": Research, product, and engineering move in tight, high-velocity loops. If it doesn't become code to solve a customer problem, it doesn't exist.
What You’ll Own & Build
As a Member of Technical Staff within the Research Tribe, you'll own the data foundations that make our simulated users believable - and prove it when they're not.
You won't just clean datasets - you'll turn raw behavioral data into personas, working with our Behavioral Scientists, that act like real people. You'll build the pipelines that feed them, the behavioral profiles that define them, the guidelines that steer them, and the diagnostics that catch them the moment they drift out of character.
This is a hands-on role bridging data engineering, behavioral science, and agentic AI - grounding our Synthetic agents in real human data so their product feedback is trusted, measurable, and decision-ready.
- Data Ingestion & Pipelines: Build and run the ingestion scripts and data engineering pipelines that power persona creation. You'll pull data from diverse sources, e.g. analytics data, handle messy real-world inputs, and design pipelines that are repeatable, monitored, and extensible. If a dataset arrives raw, it leaves structured.
- Data Cleaning & Grounding: Own data quality end-to-end. You'll normalize, deduplicate, validate, and enrich behavioral datasets so every persona is grounded in defensible data. Garbage in doesn't just mean garbage out; it means untrustworthy simulations.
- Persona & Behavioral Profile Creation: Transform behavioral data into data-grounded personas built on structured behavioral profiles. You'll design the mapping from raw signals to clustering and behavioral traits, and translate those profiles into concrete guidelines that direct how our Synthetic agents explore, hesitate, click, and abandon on real SaaS products and websites — straight from a URL.
- Out-of-Character Diagnosis: Build the analysis skills to narrow down on "why isn't this persona working?" You'll detect out-of-character behavior across simulation runs, trace it back to root causes — data gaps, trait miscalibration, guideline conflicts — and feed fixes back into the pipeline. Behavioral fidelity is a metric, not a feeling.
- Analysis & Reporting: Turn diagnostic findings into high-signal reports for the research and product teams — and for customers. You'll quantify persona fidelity, surface failure patterns, and map behavioral signals to decisions. If it can't be measured, it doesn't ship.