What You'll Do

1. Set Product Vision & Strategy

• Define and communicate a compelling 1–3 year product vision aligned to Joblogic's £100M ARR ambition.
• Translate market trends, customer insight, and competitive dynamics into a clear, prioritised portfolio roadmap.
• Make sharp build / buy / partner / sunset decisions across the platform.
• Partner with the CEO, CPO, CTO, CRO, and CCO to align product strategy with commercial and GTM strategy.

2. Lead the AI-First Product Agenda

• Own Joblogic's AI product strategy across LLMs, ML, agents, and predictive analytics.
• Identify the highest-value AI use cases across FSM and CAFM workflows — from intelligent scheduling and dynamic dispatch to predictive maintenance, automated quoting, and engineer copilots.
• Set principles for responsible, safe, and explainable AI — including data, privacy, evaluation, and human-in-the-loop design.
• Stay close to the rapidly evolving AI landscape (foundation models, agentic patterns, RAG, fine-tuning, evals) and translate it into pragmatic product bets.
• Partner with engineering and data leadership to shape the AI platform, data architecture, and ML lifecycle.

3. Mentor, Coach & Lead a High-Performing Product Team

• Hire, mentor, and develop Product Managers, Senior PMs, and Group PMs across the portfolio — making people growth a core part of how you spend your week.
• Run regular 1:1s, career conversations, and development plans tailored to each PM's strengths, goals, and growth areas.
• Coach PMs through complex trade-offs, stakeholder management, difficult prioritisation calls, and high-stakes customer situations.
• Set the standard for discovery, product craft, written communication, and commercial thinking — and actively raise the bar through feedback and pairing.
• Establish clear team structure, ownership, levelling, and career paths as the function scales.
• Build a strong performance culture: clear expectations, candid feedback, recognition, and the courage to make hard people decisions when needed.
• Foster a psychologically safe, inclusive environment where customer obsession, evidence-led decisions, and outcome ownership thrive.
• Invest in the team's craft — running PRD reviews, discovery clinics, AI literacy sessions, and post-mortems.

4. Drive Discovery & Customer Insight at Scale

• Embed deep, continuous discovery across the product team — customer calls, field visits, usage analytics, and qualitative research.
• Maintain a strong personal connection to customers, engineers, planners, and contract managers.
• Synthesise insight across verticals to identify portfolio-level opportunities and risks.
• Champion design partner programs and beta cohorts for new AI and platform capabilities.

5. Partner With UX, Engineering & Data

• Work hand-in-hand with Design and Engineering leadership to ship simple, scalable, beautifully crafted products.
• Set quality bars for usability, performance, reliability, and AI behaviour.
• Ensure mobile and web experiences feel like one cohesive, modern product.
• Drive a strong data and experimentation culture — from instrumentation to A/B testing to outcome reporting.

6. Own Commercial & Outcome Accountability

• Own product-led inputs to ARR growth, retention, expansion, and adoption.
• Define and track product KPIs and OKRs at portfolio and team level.
• Partner with Sales, CS, and Marketing on positioning, packaging, pricing, and launches.
• Represent product externally — with customers, partners, analysts, investors, and at industry events.

7. Shape the Operating Model

• Define how product, design, and engineering work together — rituals, planning cadence, roadmap reviews, discovery operations.
• Scale the function from a single-product mindset to a multi-product, platform-led operating model.
• Improve roadmap transparency, prioritisation frameworks, and cross-team dependencies.

What You Bring

Must-Have (Non-Negotiable)

• Extensive, proven experience in product management, including substantial experience directly managing and mentoring product managers in B2B SaaS.
• Proven people leadership and mentoring track record — you've built teams from the ground up, developed PMs into Senior PMs and beyond, and can point to specific people whose careers you've helped shape.
• Proven track record of shipping and scaling AI-powered products — from problem framing through to production, evaluation, and adoption.
• Deep, hands-on understanding of modern AI/ML and GenAI capabilities: LLMs, agents, RAG, evals, prompt and context engineering, model selection, fine-tuning, and ML lifecycle trade-offs.
• Broad product expertise across multiple domains — workflows, platform, mobile, data, integrations — and the ability to set strategy across all of them.
• Experience in Field Service Management, Facilities Management, CAFM/CMMS, Construction Tech, or an adjacent vertical SaaS domain.
• Strong commercial instinct: comfortable owning revenue-impacting decisions, pricing, packaging, and ROI cases.
• Demonstrated success building, hiring, retaining, and growing product teams of 5–20+ people.
• Excellent strategic communication — able to translate complex problems into clear narratives for the board, customers, and engineering teams.

People Leadership & Mentoring

• A natural mentor — you genuinely enjoy growing other people and take pride in their wins.
• Skilled at giving direct, kind, actionable feedback — and equally skilled at receiving it.
• Comfortable having hard conversations: performance, levelling, role changes, and tough prioritisation calls.
• Strong emotional intelligence — you read teams well, spot burnout early, and create space for people to do their best work.
• Track record of hiring exceptional product talent and building diverse, inclusive teams.
• Able to flex coaching style — from new PMs needing structure to senior PMs needing sounding-board sparring.

Product & Leadership Skills

• Strong product craft: discovery, prioritisation, written specs, systems thinking, and outcome orientation.
• Ability to operate at multiple altitudes — from 3-year strategy to specific PRDs and AI evaluation criteria.
• Comfortable navigating ambiguity, complex stakeholders, and competing priorities.
• Data- and evidence-led decision making, balanced with strong product intuition.
• Influence without authority across executive, commercial, and technical stakeholders.

Nice to Have

• Experience scaling product in a