About The Position
GBG Documents & Biometrics is a globally distributed team focused on building trusted identity solutions. We are looking for a Senior Product Manager to own the commercial success of key Identity Verification capabilities, including document verification, biometrics, liveness, fraud signals, orchestration/routing, APIs/SDKs, and no-code configuration. This role involves setting strategy, building a roadmap, and driving revenue growth by translating market opportunities into shipped products and compelling propositions. As a senior, externally-facing role, you will represent the product with enterprise customers, partners, analysts, and at events, articulating value, differentiation, and ROI.
Requirements
- Extensive experience of Product Management experience (B2B SaaS and/or platform/API products preferred).
- Strong, demonstrable experience in Identity Verification / Identity Proofing, including familiarity with document verification and/or biometrics/liveness and common market use-cases.
- Proven ability to own a roadmap, make trade-offs, and deliver meaningful outcomes with cross-functional teams.
- Proven capability in commercial thinking: defining customer value, building business cases, and identifying revenue generation options (pricing/packaging, expansion, new propositions).
- Strong communication skills, including comfort presenting to senior audiences and representing the organisation externally.
- Hands-on experience with modern discovery practices and metrics-driven product management.
Nice To Haves
- Experience with leading Identity Proofing solutions that combine the Optical Processing of Identity Documents and/or Facial Biometrics.
- Experience with platformisation (shared IDV services, configuration/self-serve controls, reusable components).
- Experience with enterprise procurement, security reviews, and regulated onboarding contexts (Financial Services, Gambling, Partner Markets, Telco, Marketplace, Crypto, etc.).
- Familiarity with experimentation, funnel optimisation, and conversion metrics in verification journeys.
- Exposure to ML-supported decisioning, fraud/adversarial thinking, and evaluation metrics (without requiring you to be an ML engineer).
Responsibilities
- Define and maintain a clear product strategy aligned to company growth goals (ARR, retention, attach rate, win-rate, margin).
- Identify, validate, and launch commercially attractive use-cases, sectors, and propositions within identity (e.g., regulated onboarding, account protection, high-risk transactions).
- Build and continuously refine pricing/packaging hypotheses and revenue expansion paths (new SKU(s), bundles, tiering, consumption metrics, routing optimisation, partner channels).
- Own the end-to-end roadmap: discovery → definition → delivery → launch → iteration, balancing customer value, revenue impact, risk reduction and delivery constraints.
- Run prioritisation using transparent frameworks (e.g., RICE, WSJF, cost of delay), and ensure decisions are explicitly tied to customer and revenue outcomes.
- Maintain an outcomes-driven backlog with clear problem statements, hypotheses, and acceptance criteria.
- Conduct structured discovery: customer interviews, funnel analysis, loss reviews, sales/CS insights, and market scanning to identify growth opportunities and threats.
- Own competitive positioning and differentiation narrative across IDV, including fraud resistance and conversion performance (where measurable).
- Create business cases for major initiatives (revenue, cost-to-serve, margin impact, delivery cost, risk/compliance, operational load).
- Build customer-facing value stories: conversion uplift, fraud loss avoidance, operational efficiency, compliance enablement, and time-to-integrate.
- Partner with Sales/Commercial to enable revenue: playbooks, value calculators, objection handling, case studies, and pitch narratives.
- Lead product GTM planning with Marketing, Sales, RevOps, Legal/Compliance and Customer Success (launch readiness, enablement, messaging, roll-out plans).
- Define success metrics and post-launch learning loops (adoption, activation, retention, conversion, false reject/accept rates where applicable).
- Represent the product internally and externally through briefings, demos, presentations, and events.
- Confidently engage large/complex customers (security, risk, compliance, engineering, procurement) and navigate senior stakeholder conversations.
- Influence without authority across Engineering, Data/ML, Design, Sales, Customer Success, Security and Compliance.
- Manage/shape vendor and partner strategy (e.g., orchestration, document/biometric components, data sources), including performance, cost, and routing decisions to optimise success rates and unit economics.
Benefits
- Dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
