Product Manager II in London

Location: UK or Granada

About Certinia

Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company's Professional Services Automation (PSA), Customer Success (CS), and Financial Management (FM) solutions—delivered on Salesforce's leading cloud platform—provide the ability to run a connected services business, deliver with intelligence, and achieve business agility.

The Role

Product management is changing faster than at any point in the last decade. The administrative grind—writing first drafts, synthesising research, chasing status, grooming backlogs—is increasingly handled by AI. That frees time for the work that actually moves products forward: sharper strategy, deeper customer understanding, better problem framing, and faster experimentation. This is an AI-first PM role. You will work with AI tools every day—not as a novelty, but as a core part of how you think, discover, and ship. You’ll be expected to direct AI output, not just consume it: synthesising hundreds of data points, testing ideas in hours rather than weeks, and making the editorial judgments that turn raw intelligence into product decisions. The role will evolve as Certinia’s use of AI deepens, expanding into AI feature design, probabilistic thinking, and responsible AI oversight. We are asking you to want to build it.

What You Will Do in This Role

• Deep customer understanding is one of the few things AI cannot substitute. You will spend meaningful time with customers—listening, challenging, and building the empathy that tells you which problems are worth solving. AI accelerates the synthesis work around it: use AI tools to surface patterns across interviews, support tickets, usage data, and feedback at a scale that wasn’t previously practical. Your job is to direct and editorialise those outputs—to decide what they mean and what to do about them. AI brings the signal; you bring the judgement.
• Drive Strategy: Own the strategy for your part of the product, aligned to a key customer persona. Use AI to rapidly synthesise market intelligence, competitive signals, and internal stakeholder input so your energy goes into the strategic judgment calls. Influence overall product strategy by connecting your customer-level insights to the bigger picture. Collaborate with leadership on investment priorities. Work with engineering and design partners to define shared OKRs that connect strategy to delivery.
• Discovery & Delivery: Develop a rich understanding of customer needs through interviews, data, and market research, all synthesised and structured using AI. Your role is to interrogate, challenge, and act on those outputs—not just produce them. Leverage our AIDLC with engineering leads to prototype and test potential solutions at pace. AI enables more experiment cycles with tighter feedback loops—use that advantage deliberately. Iterate toward the best solution, not just the first viable one. Own delivery from discovery to ship. Work with your team to deliver the highest value solution, drawing on peers and discipline leads across Product Management, design, and engineering.
• Go To Market: Shape how customers adopt and succeed with the capabilities you helped build. Work directly with key customers through go-live and beyond. Enable sales, services, and support to make customers successful. Use AI to accelerate preparation of release content, training materials, and customer-facing collateral—then focus your energy on quality, positioning, and the conversations that matter. Present new functionality at webinars, our conference, and with individual customers and partners.

What You Need To Be Successful In This Role

• Extensive and demonstrable experience as a Product Manager or Product Owner.
• A proven understanding of modern Product Management practices: Opportunity Canvases, User Story Maps, Objectives and Key Results, Lean UX, rapid prototyping and storyboarding.
• An AI-first way of working. You use AI tools as a daily habit—for synthesis, problem framing, drafting, and prototyping. You know how to craft and refine prompts to get useful outputs, and you critically evaluate what AI produces. You understand that AI raises the bar on the strategic thinking you need to bring; it doesn’t lower it.
• Hands‑on fluency with AI‑augmented delivery workflows. Comfortable directing and editing AI output, not just consuming it. Experience with an AIDLC, or the ability to work within it quickly.
• A bias toward strategy and problem framing. You thrive when the question isn’t fully formed yet. You can hold ambiguity without rushing to solutions, and you know the difference between finding the right answer and finding the right question.
• Experience working on enterprise software products and a working knowledge of the constraints and opportunities that this implies.
• Strong interpersonal skills with the ability to both listen and lead. Product design, analytical and problem‑solving skills. Experience working in an Agile environment.
• Strong attention to detail. A global mindset — we are a global company with global customers.
• A hunger to learn. This role is changing, and so is the craft. The people who thrive here will be the ones who want to stay at the front of it.

What Else Would Be Great

• Knowledge of the Force.com platform, Apex, Visualforce and Lightning Frameworks is a strong plus.
• An understanding of Professional Services organisations and the personas we serve.
• Knowledge of the “business of services” from Sales to Service Delivery to Finance across the customer lifecycle at an enterprise level.
• Previous experience working on ERP/PSA, CRM, CPQ solutions and/or cloud platforms is highly desirable.
• Experience navigating the strengths and limitations of a platform architecture.
• Early experience with the next generation of PM work: AI product sense—knowing which problems are well‑suited to AI, how to frame learning objectives, and how to set and communicate confidence and accuracy expectations with stakeholders.
• An awareness of responsible AI principles—bias, fairness, and explainability—and the ability to bring these into product decisions constructively. These are emerging expectations, not hard requirements today, but they’re where this role is heading.