This is a blended, customer-facing role. Your predominant focus will be helping our enterprise customers navigate AI and data governance from pre-sales through implementation, with particular responsibility for helping them secure the internal approvals required to deploy Spotted Zebra successfully.

Internally, you will help Spotted Zebra build and maintain the documentation, processes, regulatory understanding and product-governance requirements needed to support responsible enterprise AI adoption at scale.

Alongside these core responsibilities, you will act as Spotted Zebra's primary in-house legal counsel. You will review, draft and advise on agreements with customers and suppliers, help the business take pragmatic and commercially sound positions on contractual risk, and support other general legal matters as they arise.

This is not a traditional back-office legal role. You will sit within the implementation team, reporting to our Co-founder & CCO, and spend the substantial majority of your time ensuring that AI and data governance does not become a blocker to successful customer deployment.

You will work closely with the Implementation Manager, Occupational Psychology Solutions Consultant and Integration Solutions Consultant, as well as our Commercial, Product and Engineering teams.

Our ambition is to reduce AI-governance sign-off from the three to four months it can often take today to closer to one to two months. This role will be central to making that possible.

For someone excited by the growth of AI governance, this role offers an exceptional development opportunity. You will work at the intersection of AI, regulation, product, occupational psychology and enterprise implementation in one of AI's most consequential and highly scrutinised applications: hiring and employment. Our ambition is to support you in becoming one of the world's leading practitioners in applying AI responsibly and practically within high-risk HR contexts.

What You'll Be Doing

• You will own the AI and data governance workstream across customer implementations. Working alongside the Implementation Manager, OP Solutions Consultant and Integration Solutions Consultant, you will identify what each customer needs to achieve internal approval, coordinate the right Spotted Zebra inputs, and make sure the governance process moves forward with clarity and pace.
• You will support both pre-sales and post-sales. In pre-sales, you will help commercial teams answer customer questions around AI governance, human oversight, automated decision-making, fairness, explainability, bias, data protection and privacy and regulatory readiness. During implementation, you will take a more active role in helping the customer secure internal sign-off and prepare for deployment.
• A major part of the role will be creating, maintaining and tailoring customer-facing governance documentation. This may include AI governance packs, DPIA support materials, risk assessments, model and product documentation, human oversight explanations, bias-audit evidence, candidate notice wording, FAQs, due-diligence responses and materials that help our buyer present Spotted Zebra confidently to their internal stakeholders.
• You will also own important internal governance activity. You will help track relevant legislation and regulatory expectations across the regions in which we operate, maintain our jurisdiction-by-obligation matrix, support day-to-day data and privacy protection and automated decision-making governance, keep key documentation up to date, and communicate legal or governance changes that may affect the product, implementation process or customer commitments.
• You will coordinate external and internal assurance work, including independent bias audits, and maintain core AI governance artefacts, such as: DPIAs, risk assessments, provider documentation, technical files, model cards, risk registers and evidence required for AI management system maturity, including ISO/IEC 42001 readiness.
• You will also help translate governance requirements into product and process improvements. That could include requirements around consent capture, candidate notices, human review, retention, contestability, audit trails, reporting or customer configuration. You will not be expected to be the technical sign-off owner, but you will need to understand the governance requirement clearly enough to help Product and Engineering act on it.
• Over time, you will help turn this into a repeatable customer assurance function: building templates, playbooks, standard responses, implementation checklists and governance workflows that make each future customer approval faster and easier than the last.
• Alongside your primary AI-governance responsibilities, you will act as Spotted Zebra's primary in-house legal counsel. You will review and, in some limited cases, negotiate customer and supplier agreements, advise the business on contractual risk and other day-to-day legal matters, and engage specialist external counsel where required. Your approach will be pragmatic and commercially minded, helping to protect the business without creating unnecessary barriers to growth.

What Success Looks Like

• Success means customer governance questions are answered clearly, implementation delays are reduced, buyers feel supported in internal conversations, and Spotted Zebra has a stronger, more repeatable approach to AI governance across pre-sales, implementation and product development.
• It also means customer and supplier contracts are reviewed efficiently and pragmatically, with clear advice that protects the business without creating unnecessary barriers to growth.

Within your first 6-12 months, we would expect you to have improved the quality and consistency of our customer-facing governance materials, helped multiple enterprise customers secure AI and data-governance approval, contributed to reducing approval timelines, created a more scalable internal process for future customer approvals, and established an effective approach to customer and supplier contract review.

Requirements

You will be a strong fit if you ✅

• Are a qualified lawyer in the UK or another relevant jurisdiction
• Enjoy working directly with enterprise customers and senior stakeholders
• Can explain legal, regulatory and governance topics clearly and practically
• Are comfortable dealing with AI governance committees, legal teams, privacy teams, procurement, business leaders and product/engineering teams
• Have experience reviewing and negotiating commercial technology or SaaS agreements
• Like writing clear, high-quality documentation
• Enjoy helping customers move through complex internal decision-making
• Can balance governance rigour with commercial pragmatism
• Enjoy creating repeatable processes, templates and playbooks
• Are interested in responsible AI, especially in high-stakes hiring and talent workflows
• Want to help build an important new function inside a fast-growing AI-native company
• Have experience working