Data Scientist (Product)

• We're building a new category of interactive entertainment powered by AI characters, image, video, and real-time experiences. We’re one of the most-visited AI products globally, serving millions of users every day.

• We work in-person in Sydney, Australia, and hire globally.

• User-first: We build what people want. We invest time to understand our users and focus on adding value instead of extracting value.

• High agency, high ownership: We own outcomes end-to-end. When something goes wrong, we take responsibility and fix it.

• Urgency: We prioritize ruthlessly, increase leverage, and move at an exceptional pace.

• →

  You'll own product analytics end-to-end: logging, funnels, experiments, anomaly detection, and investigations that directly shape product decisions.

• Investigate the cause of changes to user behavior. Pinpoint which traffic source, product or infra changes affected which subset of users. Build automated systems to diagnose and investigate this.

• You'll run A/B tests, including setting up event data, checking implementation details and investigating unexpected results.

• Independently implement relevant product analytics and logging to understand different customer journeys in detail.

• Hands-on experience with product analytics. You write queries, check data yourself, and make your conclusions traceable and verifiable.

• Enough technical ability to create and debug event logging, read and write code, understand product flows, and work closely with engineers.

• A methodical, skeptical approach to investigations. You know the difference between a real insight, a weak signal, and a guess.

• Hunger to move fast, learn the product deeply, and get to the truth.

We raise the ceiling for exceptional performers, not the floor. As your impact grows, your compensation should too.

• The listed range is cash + equity, with superannuation on top.

• We review compensation every 6 months.

• Bonuses reward past impact, and raises reflect your new level.

1. Intro call: 15 minutes to align on the role and company.

2. Founder interview: go deep on what you’ve built, how you think, and how you work.

3. Data investigation: 1 hour with a real dataset. Write the queries yourself and defend your read of what happened.

4. Paid work trial: spend 3 days with us in Sydney working on a real problem. We cover travel and accommodation, if needed.

5. Offer: if it’s a strong fit, we move quickly.