• Architect and own the multi-year strategy and vision for the Pindrop Platform, aligning Product, Engineering, and Executive Leadership around long-term platform priorities and business outcomes. • Define how shared platform capabilities — including AI/ML services, APIs, integrations, observability, identity, security, entitlements, orchestration, and configuration management — evolve to support enterprise-scale growth. • Drive prioritization across foundational platform investments, customer-facing platform services, and innovation initiatives while balancing scalability, reliability, security, and cost optimization, while establishing platform governance models, product operating frameworks, and execution standards to elevate consistency. • Collaborate with GTM leadership to define commercialization strategies, positioning, messaging, packaging, and launch plans for customer-facing platform capabilities. • Regularly engage with customers and partners who consume platform capabilities (e.g., Pindrop Intelligence APIs, data services) to understand use cases, workflows, and unmet needs. • Manage organization goals, business metrics, and KPIs for the platform, including adoption, reliability, performance, and developer experience.

• Define and drive the AI product strategy for our nutrition and coaching experiences, identifying where LLMs, recommendation systems, and other AI capabilities can create the most meaningful user value • Partner with engineers, data scientists, and designers to ship AI-powered conversational coaching — at scale • Own the experimentation roadmap for AI features: design evaluations, define success metrics, and rigorously test models and UX to ship responsibly • Build 0 to 1 AI products with a cross-platform team, navigating the unique challenges of ML-driven experiences (latency, accuracy, hallucination, user trust) • Translate complex AI/ML capabilities into clear product requirements and user-facing value propositions that resonate with a broad consumer audience • Serve as a thought leader for AI product strategy across MFP — helping define guardrails, best practices, and a shared vision for how we use AI responsibly and effectively • Lead a cross-functional squad to define a product strategy and roadmap that solves customer problems and achieves business objectives • Champion the product operating model by using a variety of qualitative and quantitative tools to discover solutions that are valuable for customers and the business • Be accountable for the performance of your squad's product experiences and prioritize effectively to meet or exceed goals • Interact with customers and partners to collect feedback and build relationships

• Own the Aveni Assist roadmap end-to-end • Balance investment between new capabilities, product quality and platform improvements • Lead continuous discovery with advisers, paraplanners, compliance teams and prospects • Build a deep understanding of customer workflows and translating insight into product decisions • Rapidly validate ideas using prototypes, customer research and experimentation • Own beta programmes for new capabilities • Partner closely with Engineering and Design to translate strategy into delivery plans • Build strong relationships across Engineering, Customer Success, Commercial and Marketing • Use customer feedback, usage analytics and product metrics to guide prioritisation, measure success and improve the product • Stay informed about industry trends, adviser technology and FCA regulation

• Drive product growth across key parts of the customer journey, including activation, adoption, monetization, retention, and expansion • Build and optimize growth loops that are repeatable, scalable, and measurable • Develop a deep understanding of customer behavior, funnel performance, lifecycle moments, and value realization to identify high-leverage opportunities • Collaborate cross-functionally with design, engineering, data, marketing, and customer-facing teams to develop effective strategies and deliver measurable outcomes • Use quantitative analysis, qualitative insight, and product judgment to inform priorities and decisions • Generate and test hypotheses through thoughtful experimentation and rapid iteration • Contribute to growth strategy and roadmap decisions by identifying opportunities, recommending priorities, and driving execution within your area • Guide initiatives through the full product lifecycle, from discovery and prioritization through launch, analysis, and optimization • Communicate progress, trade-offs, learnings, and recommendations clearly to stakeholders and leaders • Help raise the bar for experimentation rigor, evidence-based decision-making, and product quality across the team