We are looking for a Product Manager to own what Osol's industrial data and AI platform does, for whom, and in what order. The platform gives an industrial business one trusted, vendor-neutral description of its plants, owned by that business and safe to build analytics and AI on. Its first release is predictive maintenance of rotating equipment at a process plant, for the plant's reliability engineer.
This is a product role, not a project management role: you own the problem, the users, the priorities and the definition of done, while delivery managers own schedule and budget. The ideal candidate has taken a technical business product from discovery to adoption, is as comfortable on a plant floor as in front of engineers, and can turn what a maintenance engineer needs into requirements that can be tested. You will work closely with the Solutions Architect, a techno-functional consultant who bridges the plants and the technical team, and the plant teams who will use the product.
Key Responsibilities
- Own the product's scope and priorities: decide what goes into each release, in what order and what is deliberately left out, and explain why.
- Spend time with the product's users at the plants reliability engineers, maintenance planners and heads of maintenance to understand how they work today and where the product must fit.
- Own the product requirements: each one clear, prioritised and with a test that could fail, traced to the user need or rule behind it.
- Define each release precisely, including everything a plant must supply before go-live named people, figures, plant facts and evidence.
- Define how success is measured for example, how often predictions prove right and how many people use the product agree the targets before go-live, and report against them honestly.
- Work with the Solutions Architect on trade-offs between what users need, what the architecture must hold and what it costs.
- Work with the techno-functional consultant to turn plant processes maintenance workflows, work orders and condition monitoring into specifications the team can build.
- Own the product backlog, and accept completed work against its requirements.
- Keep the product's safety and trust rules intact under delivery pressure: the platform never writes to plant systems, and AI never acts without a named person's approval.
- Maintain the product roadmap from the first plant to further plants and industries, and later to customers outside the group.
Key Skills
- Proven experience as a product manager or product owner for a technical, data or business-to-business software product, from discovery through launch and adoption.
- Ability to write clear, testable requirements and acceptance criteria, and to prioritise with explicit reasoning.
- Experience of research with specialist users engineers, operators or other domain experts and of turning it into product decisions.
- Working understanding of data platforms, analytics and machine learning, enough to weigh trade-offs with architects and data scientists.
- Experience defining and tracking product outcome measures, not only delivery output.
- Strong written and spoken communication with plant, technical and executive audiences.
- Hands-on experience with agile product practices and tools such as Jira, Azure DevOps or equivalent.
- Comfort working within a structured governance framework where decisions are recorded and reviewed.
Requirements
- Bachelor's or Master's degree in Mechanical, Chemical, Electrical or Industrial Engineering, Computer Science, or a related discipline; a business degree with strong technical experience is also considered.
- 10+ years of product development experience, including at least 3 years as product manager or product owner.
- Has owned at least one product, or a major product area, through a full release to real users.
- Industrial domain experience will be preferred.