AI Product Manager

Ideagen; Nottingham; On-site; GBP 90,000 - 120,000; Full time

Job summary

Jobtailor in Nottingham is seeking a senior product leader to own the Mazlan agent platform roadmap and drive high-value AI capability investments. You will run structured enterprise discovery, build business cases, and partner with Product and Sales to align platform priorities with commercial targets.

You will prototype with Claude/Claude Code and Cursor to validate ideas, translate customer needs into scalable capabilities, and monitor adoption and engagement metrics across workflows.

Qualifications

• Experience owning the roadmap for an AI/agentic product in a B2B SaaS environment.
• Hands-on fluency with modern AI/agentic tooling (Claude, Claude Code, Cursor) to prototype and validate ideas.
• Strong platform product mindset, systems thinking, orchestration patterns, and failure modes.
• Commercial decision-maker able to build business cases and discuss adoption and revenue with senior stakeholders.
• Experience running enterprise discovery and translating inputs into scalable product capabilities.
• Confident communicator across engineering and commercial leadership.
• Familiarity with multi-agent coordination and conversation state from a product perspective.
• Experience or interest in regulated industries is beneficial but not essential.

Responsibilities

• Own the Mazlan agent platform roadmap and prioritise capabilities based on customer needs and platform maturity.
• Build business cases for platform investments and track activation, engagement, and workflow completion.
• Run structured discovery with enterprise customers and internal experts to identify high-value opportunities.
• Create prototypes and workflow stubs using agentic tooling to validate value before engineering commitment.
• Produce engineering-ready specifications detailing interaction flows, orchestration, and evaluation criteria.
• Monitor platform usage signals to understand integration and friction points.
• Represent Mazlan in commercial forums and translate capabilities into customer value.
• Partner with Product and Sales to align priorities with targets and strategy.

Skills

Roadmap ownership

Enterprise discovery

Stakeholder engagement

Systems thinking

Commercial mindset

Cross-functional teamwork

AI concepts

Agentic AI basics

Tools

Claude

Claude Code

Cursor

Job description

Responsibilities

• Owning the Mazlan agent platform roadmap, prioritising new capabilities and workflow depth based on customer needs, adoption data, and platform maturity
• Building clear business cases for platform investments, defining success metrics upfront and tracking activation, engagement, and workflow completion post-launch
• Running structured discovery with enterprise customers and internal domain experts to identify high-value automation and decision‑support opportunities
• Creating working agent prototypes and workflow stubs using agentic tooling to validate interaction design and customer value before engineering commitment
• Producing engineering‑ready specifications that define agent interaction flows, orchestration logic, context handling, confidence gating, and evaluation criteria
• Monitoring platform usage signals to understand how customers are integrating Mazlan into daily work and where friction or drop‑off occurs
• Representing Mazlan in commercial forums, customer advisory boards, and enablement sessions, translating platform capabilities into compelling customer value
• Partnering closely with Product and Sales leadership to align platform priorities with commercial targets and customer segment strategy

Requirements

• Proven experience owning the roadmap for an AI or agentic product in a B2B SaaS environment, where model behaviour forms part of the user experience
• Hands‑on fluency with modern AI and agentic tooling (such as Claude, Claude Code, Cursor, or equivalents) to prototype and validate ideas independently
• Strong platform product mindset, with the ability to think in systems, interaction patterns, orchestration behaviours, and failure modes
• Commercially grounded decision‑maker, comfortable building business cases, prioritising for impact, and discussing adoption and revenue with senior stakeholders
• Demonstrated experience running structured discovery with enterprise customers and translating complex input into clear, scalable product capabilities
• Confident communicator across disciplines, able to engage deeply with both engineering teams and commercial leadership
• Familiarity with agentic AI concepts such as multi‑agent coordination, routing, and conversation state from a product perspective
• Experience or interest in regulated industries (EHS, Quality, Compliance, or similar) is beneficial but not essential.

Core Competencies

Demonstrates expertise in managing AI and agentic product roadmaps within a B2B SaaS environment, focusing on customer needs and platform maturity. Proficient in building business cases, defining success metrics, and engaging with stakeholders to drive product adoption and value.