Product Manager - AI Products

About Us:

Clear Route is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for Clear Route, our customers and most importantly our team.

This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.

We're looking for a Product Manager who thrives at the intersection of business process and applied AI
. You'll work directly with our clients and stakeholders to understand how work actually gets done today; the workflows, handoffs, bottlenecks, and decision points and translate that understanding into AI-powered products that measurably improve how our clients business operates.

This isn't bolting a chatbot onto an existing process, we need someone who can sit with an operations team, map the real workflow (including the messy exceptions), identify where AI genuinely creates leverage vs. where it doesn't, and then own the product from opportunity discovery through to a shipped, adopted solution.

You'll have ownership of products that touch how people actually work, not just internal tooling or greenfield experiments. You'll work alongside engineers and applied AI specialists who care about building things that hold up in production, not demos. And you'll be doing this across a portfolio of real business processes, which means constant variety and a fast-growing skill set at the leading edge of applied AI.

• Discover and map business processes. Run workshops, shadow teams, and analyze operational data to build an accurate picture of how a process works today.

• Identify AI-suited opportunities. Distinguish between processes that genuinely benefit from AI (ambiguity, judgment, unstructured data, pattern recognition at scale) and those better served by simple automation or process redesign alone.

• Define the product vision and roadmap. Translate process insight into a prioritized roadmap for AI-powered tools; copilots, agents, decision-support systems, workflow automation, with clear success metrics tied to business outcomes (cycle time, error rate, cost-to-serve, employee time saved).

• Write clear, buildable specs. Produce PRDs, user stories, and acceptance criteria that engineering and applied AI/ML teams can execute against, including where model behavior is probabilistic rather than deterministic.

• Partner closely with engineering, design, and applied AI/ML teams to scope feasibility, define evaluation criteria for model performance, and manage trade-offs between accuracy, latency, cost, and user trust.

• Own the human side of adoption. Design for how the AI product fits into a person's actual workflow, not just the model, but the review steps, escalation paths, and trust‑building UX that determine whether it gets used.

• Measure and iterate. Set up feedback loops and instrumentation to track whether the product is actually changing the process outcomes it was built for, and iterate based on real usage.

• Communicate with stakeholders at every level
  , from the people doing the work day-to-day to executive sponsors who need to see ROI.

• 4+ years of product management experienc
  e, with at least 1–2 years working directly on AI/ML-powered products (not just "using AI tools", experience shipping products with AI/ML at their core).

• Demonstrated experience mapping and redesigning business processes (e.g., through business analysis, process consulting, ops roles, or similar), you're comfortable with tools like process maps, value stream mapping, or service blueprints.

• Ability to have a technically credible…