Product Analytics Engineer

At coreflow, we're redefining entertainment with AI. We're one of the fastest-growing startups globally, serving 20 million users in our first year. We’re an in-person company based in Sydney, Australia.

We’re guided by a set of principles that are foundational to our work and drive every decision:

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

• High agency, high ownership: We’re responsible for the pieces we own, end-to-end. We own every mistake, figure out what went wrong, and fix it. We don’t blame anyone or anything else.

• Urgency: This is a once-in-a-lifetime opportunity. We prioritize well, find ways to increase leverage, and move at an inspirational 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.