Jobs at GBG Plc

Build and own Salesforce solutions across Core, Sales Cloud, Service Cloud, Experience Cloud, CPQ, and Billing. Design solutions, develop with Apex and LWC, configure declarative tools, manage deployments through Gearset, document architecture, run prototypes, debug platform issues, and maintain code quality and test coverage within a distributed Salesforce Centre of Excellence.

Administer and support Salesforce environments, including user access, security, configuration, data quality, automation, reports, dashboards, maintenance, and issue resolution. Provide user training, documentation, onboarding support, testing, and enhancement coordination while contributing to global 24/5 platform support and continuous improvement.

Leads end-to-end delivery of complex Salesforce and Ironclad technology transformation projects. Responsibilities include project planning, governance, budgeting, risk and dependency management, stakeholder communication, supplier oversight, business readiness, change management, implementation, and transition to business-as-usual operations. The role also facilitates steering committees, tracks benefits, prepares executive reporting, and improves delivery frameworks and practices.

Lead and scale a North American Solutions Engineering team to drive presales strategy, technical win rates, and customer outcomes. Partner with Sales, Product, and Engineering to design solutions, coach engineers, adopt AI-enabled practices, and support enterprise deals while managing hiring, processes, and cross-functional collaboration.

Independent Non-Executive Director and Audit & Risk Committee Chair responsible for overseeing financial reporting, internal controls, risk management, external audit, treasury, capital allocation and governance. The role requires recent financial experience, ideally as a CFO or senior finance executive, alongside international technology, software, data or regulated-services experience. The appointee will provide constructive challenge to management, support board strategy and maintain strong relationships with investors, auditors and stakeholders.

Design, build, and deploy production ML models and MLOps pipelines for fraud and AML detection across batch and real-time scoring. Collaborate with engineering and data teams on feature engineering, optimize low-latency model performance, run validation and A/B tests, and mentor junior engineers while aligning to architecture standards.

Leads end-to-end delivery of complex, client-facing Professional Services projects across scope, schedule, budget, quality, risk, governance, and stakeholder management. Develops project plans and SOWs, manages steering committees and executive reporting, supports presales, resource forecasting, portfolio visibility, and revenue tracking. Mentors Project Managers, improves delivery processes, and builds trusted client relationships while supporting regional Professional Services objectives.

Engage unmanaged EMEA customers through daily communications, product promotion, meetings, lead qualification, and account development. The role focuses on retaining and growing accounts, identifying portfolio risks and new opportunities, providing frontline support, maintaining accurate customer records, and collaborating with direct and channel sales teams in a target-driven environment.

Manage SME reseller partners and customer accounts to improve retention, renewals, engagement, adoption, upselling, and growth. Responsibilities include conducting account reviews and business meetings, identifying customer needs and renewal risks, developing retention and growth strategies, and collaborating with sales, marketing, finance, customer success, and support teams. The role suits a motivated communicator seeking to build a career in channel sales and partner management.

Manage reseller and introducer partner portfolios, build strategic relationships, and drive revenue growth. Responsibilities include joint marketing campaigns, renewals, end-user onboarding, upselling, cross-selling, commercial negotiations, pricing and commission structures, partner enablement, and stakeholder collaboration across sales, marketing, finance, product, account management, and technical teams.

Identifies, qualifies, and develops new business opportunities across key and enterprise accounts. Serves as the first contact for inbound leads, manages intent and ABM signals, conducts account and market research, supports Account Executives, builds target lists, assists with events, and maintains accurate Salesforce data. The role collaborates with Sales, Marketing, Product, and Customer Success and provides a foundation for enterprise sales or account management.

Lead the Go Core Platform group across three full-stack squads building APIs, hosted identity journeys, and a configuration editor. Own delivery, architecture, reliability, security, platform coherence, technical debt, and cross-squad coordination. Drive AI-assisted engineering adoption with measurable standards and guardrails. Hire, coach, and develop engineers while partnering with Product, Architecture, Design, and executives on roadmap, trade-offs, incidents, and customer-critical issues.

Manage and grow a portfolio of New Zealand SaaS customers through account planning, retention, upselling, forecasting, and executive relationship management. Identify expansion opportunities, maintain CRM data, coordinate cross-functional teams, and guide customers from deal closure through activation, adoption, and value realization. Advise customers on market and regulatory developments while supporting measurable business outcomes and long-term partnerships.

Leads end-to-end implementation, onboarding, configuration, testing, deployment, and adoption of identity, fraud, biometrics, and compliance solutions for enterprise customers. Facilitates discovery workshops, translates requirements into solution designs, supports integrations, UAT, go-live, reporting, and post-implementation reviews. Manages project plans, risks, issues, dependencies, governance, and stakeholder communications while coordinating Sales, Product, Engineering, Support, and Operations. Acts as a trusted technical advisor, improves delivery processes, and mentors consultants.

Design, implement, deploy, and monitor production-grade ML and computer vision models (CNNs, transformers, vision-language). Evaluate models, analyze data, improve robustness, support MLOps/CI-CD, and mentor junior engineers within an Agile team.

Design, develop, deploy, and improve production-grade machine learning and computer vision models. Evaluate model performance, analyze data, support MLOps/CI-CD pipelines, resolve production issues, and mentor junior engineers while collaborating with product and engineering teams to deliver robust, scalable ML solutions.