Product Owner

You know that building a useful AI product takes more than connecting a model to an interface. It takes clear decisions about how the system behaves, how it remembers context and what happens when it gets something wrong. You want the ownership to make those decisions and turn powerful technology into something people can depend on. As a Product Owner with our client, you'll help build proactive applications that bring intelligence to email, conversations, organising and everyday workflows, with minimal to no prompting. The ambition is to help people spend less time managing their lives and more time on the things that matter. The product focuses on reliable, long-running workflows, persistent context and real-world task completion. You'll sit at the intersection of user needs, model capabilities and engineering constraints, working directly with ML and engineering teams to define how the system should behave, how its quality is measured and how it improves. These opportunities suit hands-on product professionals with strong technical judgement and direct experience delivering LLM-powered products. You'll join a small team with broad ownership and the scope to challenge technical decisions, shape priorities and take responsibility for what reaches users. What You'll Do

• Own end-to-end requirements for AI capabilities, connecting model behaviour, system behaviour and user experience.
• Translate model capabilities, evaluation results and technical constraints into clear product decisions, specifications and delivery priorities.
• Work closely with ML, backend and client engineers on system design, evaluation and iteration, ensuring user needs remain central to technical decisions.
• Make informed trade-offs across quality, latency, cost, reliability, safety and user experience.
• Define and evolve evaluation frameworks across offline metrics, online experiments and human feedback, giving the team clear evidence of what works and what needs to improve.
• Identify hallucinations and other failure modes, ensuring AI experiences behave predictably and recover gracefully.
• Set clear quality standards and feedback loops, taking ownership of correctness, reliability, usefulness and user trust.
• Keep roadmaps and priorities clear, using real-world feedback to guide fast, focused iteration. What You'll Bring
• Significant experience owning complex technical products end-to-end, from defining the problem through delivery and ongoing improvement.
• Hands-on experience with AI-powered products, particularly LLM-based systems, with clear examples of your contribution and the outcomes delivered.
• Strong computer science fundamentals and system design skills, with the confidence to read technical designs, understand architectures and engage deeply with engineers.
• A solid understanding of modern ML and how AI systems behave in production, including model limitations, hallucinations and failure modes.
• Experience with model evaluation, experimentation, prompting or AI system iteration, and the ability to turn findings into practical product decisions.
• The ability to turn ambiguous problems into clear requirements, measurable outcomes and executable plans.
• Strong judgement and a collaborative approach, with the confidence to challenge engineers and researchers constructively.
• A hands-on approach to shipping, experimentation and learning, with the independence to take significant ownership in a fast-moving, zero-to-one environment.
• An engineering background, experience shipping AI-heavy consumer products or previous zero-to-one product experience would be an advantage. What's On Offer
• Fully remote working for candidates based in the United Kingdom or United States.
• Broad ownership in a small, hands-on team focused on building AI products for practical, everyday use.
• Direct collaboration with ML and engineering teams, with the opportunity to influence system design and product direction.
• The scope to shape requirements, evaluation frameworks and quality standards from an early stage.
• An environment where teams make decisions quickly and balance delivery speed with strong engineering fundamentals.
• The opportunity to build products that help people organise their lives and complete meaningful tasks.
• If you're a Product Lead or Product Owner who combines hands-on LLM product experience with strong technical judgement, these opportunities give you the ownership to shape how an AI product works and the value it delivers. Key Information Job Titles: Product Owner Location: United Kingdom or United States Work Policy: Fully remote Consortia specialises in recruitment across UX, Product, Data and Engineering. If this isn't quite what you're looking for, get in touch with one of our consultants. We'd be happy to hear what you're looking for and help with your next move. Due to the high volume of applications, we may not be able to respond individually. However, we will keep your details on file and reach out when a more suitable opportunity arises.