GBG Plc

**What you will do** - Lead, mentor, and develop a high-performing team of Solutions Engineers, fostering a culture of technical excellence, accountability, and continuous growth. - Drive the technical sales strategy across North America, guiding discovery, solution design, demonstrations, and customer evaluations. - Partner closely with Sales leadership to align presales activities with revenue objectives and accelerate business growth. - Establish and scale best-in-class presales methodologies, processes, and tools to improve consistency, efficiency, and customer outcomes. - Act as a trusted advisor and executive sponsor on strategic enterprise opportunities, helping customers solve complex identity, fraud, and data challenges. - Champion the adoption of AI-enabled practices and technologies to enhance team productivity, customer engagement, and technical differentiation. - Collaborate cross-functionally with Product and Engineering teams to translate customer and market insights into future product innovation. - Leverage data and performance metrics to optimize technical win rates, evaluation success, deal velocity, and overall business impact. - Attract, hire, and retain top Solutions Engineering talent while building a scalable organization capable of supporting continued growth. - Serve as a key member of the Customer Engineering leadership team, helping shape the vision, strategy, and future direction of the function.

• Act as a trusted advisor on US privacy and AI laws, providing timely, pragmatic guidance to internal teams and engaging directly with customers to negotiate and explain data protection positions. • Lead and deliver privacy and AI compliance initiatives end-to-end, including assessments, data flow analysis, risk identification, and tracking actions through to completion. • Partner with Product, Engineering, Sales, and Legal to embed Privacy and AI by Design into data use, products, and services, ensuring compliance with evolving regulatory requirements. • Review, draft, and negotiate data protection provisions in customer and supplier contracts, balancing legal risk with commercial priorities. • Monitor and interpret new and emerging US privacy and AI legislation, rapidly translating requirements into clear, actionable business guidance. • Maintain and continuously improve compliance frameworks, processes, and documentation, including supporting internal and external audits and ensuring strong record-keeping. • Build strong relationships with stakeholders, while delivering training and awareness programmes to embed a culture of privacy and AI compliance across the organisation.

**What you will do** - Own the product backlog key GBG Go initiatives ensuring clarity, prioritisation, and alignment to strategy. - Work collaboratively with engineering leaders to plan, refine and deliver high‑quality product increments. - Engage with customers, prospects, market research and usage data to shape roadmap decisions. - Monitor success metrics to drive value, adoption and performance. - Build strong internal relationships for cohesive go‑to‑market execution. - Champion the voice of the customer and represent Go in cross‑portfolio initiatives. - Contribute to long‑term strategic planning and capability evolution.

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role GBG Go Product Team GBG Go is our all-in-one identity platform with complete global coverage, powerful capabilities, and adaptive journeys that flex to every market, so customers can grow safely, build trust, and save time and money with compliance. With access to  80+ identity, fraud and risk modules customers can go to market worldwide with adaptive customer journeys while navigating compliance and protecting against fraud – now and in the future.   The GBG Go product team is a cross‑functional, delivery‑focused group of product managers, designers, engineers, and data specialists who work collaboratively to drive adoption, optimise customer outcomes, and expand Go’s capabilities across GBG’s global markets. Senior Product Owner As Senior Product Owner, you will help to drive the end‑to‑end roadmap for key capability areas within GBG Go. You will work closely with engineering, UX, data teams, and commercial stakeholders to translate market opportunities, customer needs, and business strategy into a clear set of requirements, priorities, and outcomes. What you will do - Own the product backlog key GBG Go initiatives ensuring clarity, prioritisation, and alignment to strategy. - Work collaboratively with engineering leaders to plan, refine and deliver high‑quality product increments. - Engage with customers, prospects, market research and usage data to shape roadmap decisions. - Monitor success metrics to drive value, adoption and performance. - Build strong internal relationships for cohesive go‑to‑market execution. - Champion the voice of the customer and represent Go in cross‑portfolio initiatives. - Contribute to long‑term strategic planning and capability evolution.

What you will do - Identify and engage new prospective clients to introduce GBG’s identity verification and fraud prevention solutions. - Sell additional products and services to a portfolio of named existing customers. - Build and maintain a robust sales pipeline, consistently meeting or exceeding sales targets. - Understand and effectively navigate the sales process, from initial outreach through to contract negotiations and closing. - Collaborate with internal teams, including Product and Marketing, to ensure alignment with client needs and market trends. - Stay informed on industry trends and maintain knowledge of GBG’s solutions to position them effectively to potential clients.

• Design, develop, and maintain automated test suites using C#, .NET. • Build automation for API, integration, end‑to‑end, performance, and regression testing. • Implement testing best practices, including shift‑left testing and quality‑driven development. • Ensure high coverage and reliability of automated tests across services and microservices. • Build and execute cloud‑based test strategies across AWS services (Lambda, API Gateway, S3, SNS/SQS, DynamoDB, ECS/EKS, IAM). • Validate architecture resilience, scalability, and security through automated and exploratory testing. • Use **infrastructure‑as‑code** tools (CloudFormation / Terraform / CDK) to provision test environments. • Develop and optimise CI/CD pipelines using GitHub Actions / Azure DevOps / Jenkins / GitLab CI. • Integrate automated tests into pipelines to ensure rapid, reliable delivery. • Embed quality gates, security scans, and performance checks into end‑to‑end pipelines. • Collaborate with DevOps/Platform teams to build repeatable, self‑service test environments. • Work closely with developers, product managers, and SRE teams to drive a quality‑first culture. • Participate in code reviews, architecture discussions, and design sessions to influence quality early. • Troubleshoot defects, conduct root cause analysis, and implement preventative fixes.

• Define, own, and execute the long‑term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. • Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. • Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. • Provide hands‑on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. • Raise the bar for technical excellence while fostering an inclusive, high‑engagement team culture. • Oversee the development and productization of ML models addressing real‑world document and biometric challenges at scale. • Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high‑quality model delivery. • Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. • Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. • Build high‑performing teams that balance innovation with operational excellence. • Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. • Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high‑impact delivery. • Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. • Represent Documents & Biometrics in cross‑company forums related to AI strategy, governance, and innovation. • Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. • Contribute to company‑wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. • Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. • Ensure adherence to industry best practices, architectural standards, and engineering quality bars. • Maintain high levels of team morale, engagement, and delivery velocity.

About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director – Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long‑term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions.. What you will do Strategic Leadership & Vision - Define, own, and execute the long‑term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. - Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. - Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership - Provide hands‑on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. - Raise the bar for technical excellence while fostering an inclusive, high‑engagement team culture. - Oversee the development and productization of ML models addressing real‑world document and biometric challenges at scale. - Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high‑quality model delivery. - Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership - Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. - Build high‑performing teams that balance innovation with operational excellence. - Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. - Builds trust through transparency, technical credibility, and consistent delivery. Cross‑Functional Collaboration - Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high‑impact delivery. - Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. - Represent Documents & Biometrics in cross‑company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance - Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. - Contribute to company‑wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. - Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence - Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. - Ensure adherence to industry best practices, architectural standards, and engineering quality bars. - Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for - PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. - Deep technical expertise in machine learning, computer vision, and deep learning applied to real‑world, production systems. - 10+ years of hands‑on experience in machine learning and computer vision, with a substantial portion in leadership roles. - Significant experience leading and scaling machine learning teams in a product‑focused environment. - Proven track record of delivering ML solutions end‑to‑end, from concept through production and ongoing optimization. - Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. - Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non‑technical stakeholders. - Experience operating in highly dynamic, fast‑moving environments with competing priorities. - Experience with regulated environments, AI governance frameworks, or compliance‑driven ML development would be beneficial - Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers. Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role New Business Team, GBG Americas The New Business team at GBG in the Americas region is a driving force behind our company's growth and market expansion. Focused on identifying and securing new clients, this team plays a critical role in introducing GBG’s identity verification, fraud prevention, and compliance solutions to businesses across various industries. By leveraging deep industry knowledge and a consultative sales approach, the New Business team works to understand the unique challenges of potential clients and offer tailored solutions that drive value. The team collaborates closely with cross-functional departments—including Product, Professional Services, Marketing, and Pre-Sales—to ensure GBG's solutions align with market demands and client needs. With a strong focus on innovation, relationship-building, and strategic partnerships, the New Business team is instrumental in shaping GBG’s presence in the Americas, securing high-value deals, and contributing to the overall success of the company’s go-to-market strategy. Their success not only brings in new revenue but also strengthens GBG's brand and reputation in the identity and fraud prevention space. Sales Executive GBG is seeking a driven Sales Executive to join our high-growth New Business team in the Americas region, reporting to the SVP of New Business. In this hunter role, the Sales Executive will be responsible for identifying and securing new business opportunities for our identity verification and fraud prevention solutions, while also expanding relationships with a select group of existing customers. The ideal candidate will have experience selling SaaS solutions, preferably in the Fraud and Identity space, and a proven ability to navigate the full sales process—from prospecting to closing deals. This role requires someone skilled in building and managing a strong pipeline, understanding client needs, and effectively positioning GBG’s solutions to drive revenue growth. What you will do Identify and engage new prospective clients to introduce GBG’s identity verification and fraud prevention solutions. Sell additional products and services to a portfolio of named existing customers. Build and maintain a robust sales pipeline, consistently meeting or exceeding sales targets. Understand and effectively navigate the sales process, from initial outreach through to contract negotiations and closing. Collaborate with internal teams, including Product and Marketing, to ensure alignment with client needs and market trends. Stay informed on industry trends and maintain knowledge of GBG’s solutions to position them effectively to potential clients. Requirements Benefits To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

**What you will do** - **Deliver compelling technical presentations and live demonstrations** showcasing how GBG’s solutions solve complex identity, fraud, and verification challenges. - **Lead the technical components of bids, RFPs, and proposals**, ensuring solution designs align with customer requirements and position GBG competitively. - **Address and resolve client concerns** related to product integration, configuration, and customization by partnering closely with internal technical teams. - **Stay current on product enhancements, releases, and industry trends** to effectively advise both the sales team and customers throughout the presales lifecycle. - **Develop deep, hands‑on expertise in GBG’s product suite**, enabling you to serve as a trusted technical advisor for prospects, partners, and internal stakeholders.