About the role
Yobibyte is our customer-facing platform, covering workspaces, the model marketplace, fine-tuning and serving. You will own the product end to end: discovery, prioritisation, launch and the retention work that follows once the launch excitement fades.
The buyers here are technical, spanning individual engineers evaluating on a personal card through to enterprise platform teams running procurement and security review. Both matter, and they want different things, so a large part of this role is deciding what is worth building for whom and being able to defend that decision. You will work closely with engineering on scope and sequencing, and you will be expected to have your own view rather than only relaying other people's.
What success looks like
- Roadmap decisions trace back to evidence from real users rather than to whoever asked loudest.
- Self-serve activation and retention improve, and you can explain why.
- Engineers find your specs clear enough to build from without a meeting.
Responsibilities
- Run continuous discovery with both self-serve developers and enterprise platform teams, and turn it into decisions rather than notes.
- Own the roadmap for the platform surface, including what gets cut, and communicate the reasoning behind sequencing.
- Write technical specifications that engineers can build from, covering edge cases and non-goals.
- Own the self-serve funnel from first touch through activation to retention, working from instrumented behaviour.
- Define the pricing and packaging model with commercial and engineering input, and revisit it as usage patterns emerge.
- Partner with marketing and sales on positioning, launch and enablement so a release actually lands.
- Track competitive movement in AI infrastructure closely enough to be useful rather than merely aware.
Requirements
- Experience shipping a developer-facing or technical platform product, ideally in infrastructure, cloud or developer tools.
- Genuine technical fluency: able to hold a credible design discussion with engineers and read the docs yourself.
- Demonstrated discovery practice, including talking to users regularly and changing your mind on the evidence.
- Comfort with product analytics and instrumentation, and with defining the metric before shipping the feature.
- Clear written communication, since specs and decision records are the main artefacts of this role.
- Ability to prioritise ruthlessly across competing internal and customer demands, and to say no with reasons.
- Working understanding of the AI and machine learning landscape, sufficient to make sound product calls.
Nice to have
- Hands-on background in engineering or data science.
- Experience with usage-based or consumption pricing models.
- Familiarity with marketplace or multi-sided product dynamics.
- Exposure to enterprise procurement, security review and compliance-driven sales cycles.
Role reference: YJ-00004