Head of Product

Job Description

JD Build a product organisation in which excellent decisions happen close to the problem, while the portfolio. You will be accountable for the health of company product practice: how evidence becomes a bet, how bets become usable and trustworthy systems, how teams make trade-offs, and how learning travels across pods. If this role works, product quality and strategic coherence rise without decisions becoming centralised around you. What You Will Do Strengthen the distributed product model Turn our principles into a clear operating system for discovery, prioritisation, design, delivery, launch, and learning. Make decision rights explicit so teams know who recommends, who contributes, who decides, and when an issue needs escalation. Coach Product Leads to run healthy pipelines and make well-framed trade-offs without turning them into traditional PMs. Help Product Analysts, UX Researchers, Product Designers, Legal Associates, engineers, and ML practitioners raise the quality of their own product judgment. Notice when the model is creating gaps, duplicated work, or decision paralysis—and fix the system rather than quietly taking the work back yourself. Create coherence across the portfolio Hold the cross-product view: shared user journeys, platform capabilities, design patterns, data and ML dependencies, institutional commitments, and sequencing across pods. Synthesize pod-level roadmaps into a legible portfolio narrative for the CTO, founders, and the wider organisation. Surface collisions early: two pods solving the same problem differently, a local choice creating platform debt, or a partnership commitment outrunning product readiness. Facilitate portfolio trade-offs with evidence from users, legal context, design, engineering capacity, model readiness, security, and expected impact. Partner with the CTO, Head of Engineering, ML Lead, Security, and product specialists on decisions that cross team boundaries. Raise the quality bar Define what "ready to build," "ready to pilot," and "ready to deploy in a court" mean at company. Establish lightweight review mechanisms for high-stakes product bets and launches—strong enough to protect users, but not so heavy that teams stop moving. Review products against their original user and research intent, and call out when implementation has drifted. Make outcome measurement part of product work from the beginning: transcription accuracy, task completion, drafting time, adoption, reliability, and meaningful justice-system outcomes—not feature counts or ceremony completion. Protect security, privacy, legal accuracy, accessibility, multilingual performance, and real-world operability as product concerns, not downstream checks. Keep the organisation close to courts Spend meaningful time in courtrooms and with the people who use or are affected by our products. Help turn field observations, Voice of Customer signals, usage data, legal context, and usability research into a shared evidence base. Ensure that institutional requests are understood without automatically becoming roadmap commitments. Build a learning loop in which pods can trace major decisions back to evidence and revisit them as reality changes. Build product craft and leadership capacity Create critique, coaching, and learning rituals that improve judgment across disciplines. Develop shared tools and language for problem framing, product bets, experiments, product specifications, and post-launch evaluation. Help hire and develop exceptional Product Leads, Analysts, Researchers, Designers, and other product contributors as the organisation grows. Represent Company's product approach credibly with court leaders, funders, partners, and the broader technology community. Your influence should come from context, judgment, coaching, and the quality of the decision process—not from being a universal approver. On high-stakes issues involving user harm, legal integrity, security, or institutional trust, you are expected to challenge directly and escalate when necessary.

Required Skills

['Product Leadership & Cross-functional Team Management', 'Brand Strategy and Media Planning', 'Data-driven Decision Making & Product Analytics', 'Decision-Making', 'AI/ML Product Management & Product Governance']

Additional Information

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