About the Role
Role details below.
Responsibilities
- Own features end-to-end: discovery, spec, ship, measure — no hand-holding
- Write specs and acceptance criteria that engineers can actually build from
- Prioritise backlogs based on customer impact and strategic fit
- Identify where AI/ML can move the needle across whatever product area you're working in
- Make decisions with data: funnels, churn signals, usage patterns — opinions are a last resort
- Work across engineering, design, and go-to-market to get things out the door
- Talk to customers and translate what you hear into product priorities
Requirements
- 1–3 years in a product, technical, or analytical role — you've shipped something and learned from it
- Technically fluent — APIs, SQL, and reading technical docs don't scare you
- AI/ML background — degree, project work, or hands-on experience applying it to real problems
- Analytically sharp — you default to data, not gut feel
- Clear, concise communicator — your specs don't leave people guessing
- Adaptable and resilient — you'll move between problem spaces and hit the ground running each time
Nice to Have
- Experience with developer-facing or infrastructure products
- Familiarity with Mixpanel, Amplitude, or similar analytics tools
- Exposure to telecom, IoT, or connectivity concepts
Additional Information
- No telecom or wireless experience needed
- The squad you work with may shift — that's the point
- We want someone who can pick up context fast, adapt, and deliver regardless of the domain
