• Develop and execute expansion strategies within existing Life Sciences customer accounts. • Identify new use cases, business units, therapeutic areas, and stakeholder groups across pharmaceutical, biotechnology, medical device, and research organizations. • Build relationships with senior leaders across R&D, Portfolio Strategy, Business Development & Licensing, Competitive Intelligence, Innovation, Corporate Strategy, and Commercial functions. • Generate qualified expansion pipeline through executive engagement, workshops, industry events, and consultative business discussions. • Drive adoption of data-driven decision-making solutions that improve innovation, competitive positioning, pipeline assessment, and market intelligence capabilities. • Act as a subject matter expert for Data-as-a-Service opportunities across strategic Life Sciences accounts, with particular focus on complex enterprise opportunities and key West Coast deals. • Join active sales cycles to strengthen customer engagement, shape solution strategy, and accelerate deal progression. • Lead executive discovery sessions, value workshops, and strategic account planning activities. • Help account teams navigate complex stakeholder environments and develop compelling business cases tied to measurable business outcomes. • Partner with Account Executives to increase win rates, shorten sales cycles, and expand deal value. • Represent the company as a credible industry expert at Life Sciences conferences, customer forums, webinars, roundtables, and executive events. • Deliver compelling presentations to senior customer audiences on industry trends, competitive intelligence, innovation strategy, AI, data-driven decision making, and emerging Life Sciences market developments. • Contribute to thought leadership content, conference speaking opportunities, and strategic customer engagement programs. • Build a strong external presence that enhances the company’s reputation within the Life Sciences ecosystem. • Operate as a strategic overlay resource supporting multiple Account Executives and territories. • Collaborate with Product, Marketing, Customer Success, and Sales Leadership teams to drive expansion initiatives and market penetration. • Share customer insights and market intelligence to influence product strategy and go-to-market execution. • Support the development of Life Sciences-specific messaging, sales plays, and enablement programs.

• Own and evolve the product roadmap for AI and data-driven products, ensuring it is ambitious, commercially grounded, and aligned with company strategy. • Identify new AI-first product opportunities, including new products, modules, SKUs, and platform capabilities that expand StarCompliance’s value proposition. • Refine and validate product concepts that use AI at the core, including generative AI, predictive analytics, intelligent recommendations, semantic search, graph-based insights, workflow automation, and decision support. • Prioritise opportunities based on customer value, commercial potential, technical feasibility, regulatory sensitivity, and strategic fit, defining clear outcomes, success metrics, adoption targets, and value hypotheses. • Interface directly with customers, prospects, partners, industry experts, and internal commercial teams to understand demand for AI-enabled compliance solutions. • Evaluate market readiness, willingness to pay, competitive positioning, packaging, and monetisation potential for new AI use cases. • Translate market insight into well-structured product requirements, commercial cases, and roadmap recommendations. • Develop a strong understanding of how regulated organisations adopt AI, including their governance, explainability, security, and risk management expectations. • Partner closely with the Head of Data & AI to move AI product concepts from discovery through delivery, launch, adoption, and continuous improvement. • Work with engineering, data science, architecture, security, legal, compliance, customer success, sales, and marketing to deliver production-grade AI capabilities in a regulated B2B SaaS environment. • Ensure AI products are explainable, trustworthy, auditable, usable, and aligned with customer workflows — solving real customer problems rather than building technology showcases. • Collaborate with other Product Managers to identify where AI can enhance existing products and workflows, and to assess value, feasibility, risks, and commercial implications. • Create reusable product patterns, discovery approaches, and launch practices for AI features across the platform. • Support consistent positioning and governance of AI capabilities across the StarCompliance product portfolio. • Communicate AI product strategy, roadmap trade-offs, business cases, delivery progress, and measurable outcomes to senior executives. • Partner with the Chief Product Officer, CTO, Head of Data & AI, commercial leadership, and customer-facing teams to align AI investments with business priorities. • Represent the AI product roadmap in executive discussions, customer meetings, board-level materials, and strategic planning forums.

• Diseñar, desarrollar y mantener aplicaciones y servicios de software con capacidades de IA agéntica. • Implementar flujos de trabajo basados en agentes inteligentes, integraciones, lógica de negocio y automatización. • Construir e integrar APIs, servicios, microservicios y componentes backend/frontend según el alcance del proyecto. • Participar en el diseño técnico de soluciones orientadas a escalabilidad, seguridad y mantenibilidad. • Integrar modelos, herramientas de IA, motores de decisión y fuentes de información empresariales. • Asegurar calidad del código mediante pruebas, documentación y buenas prácticas de desarrollo. • Colaborar con equipos de arquitectura, datos, producto, procesos y negocio. • Identificar mejoras de desempeño, confiabilidad y evolución de las soluciones implementadas.

• Sales strategy & market development • Build and maintain a qualified pipeline portfolio for AI infrastructure solutions (GPU clusters, managed services, consulting) • Define and execute the go-to-market strategy for the NVIDIA stack • Market and competitor monitoring; identification of new customer opportunities and cross-/upselling potential • Forecast planning, pipeline management and regular reporting to sales leadership • Independent new customer acquisition as well as strategic account management for mid-market and enterprise segments • Needs analysis and qualification of opportunities in close collaboration with the Solution Architect • Coordination and moderation of customer meetings, initial presentations and business case discussions • Responsibility for the entire proposal and negotiation process through to contract signature • Preparation and presentation of technical proposals • Close, collaborative working relationship with the AI Solution Architect