• Audit our current site and identify gaps across product, features, use cases and industry pages. • Define a clear roadmap for new page creation and refreshes, prioritizing based on business impact, SEO potential, and user needs. • Manage the web properties as a product, balancing immediate marketing needs with long-term technical and strategic health. • Translate product positioning and messaging into compelling, web-native experiences. • Collaborate with PMM to refine narratives, ensuring they are clear, differentiated, and effective in a digital context. • Lead the creation of new pages from concept to launch, shaping content, defining structure, and developing wireframes. • Ensure all new pages meet best practices for performance, accessibility, and SEO. • Work closely with Design and Web Engineering to bring pages to life, ensuring projects move efficiently from idea to launch. • Evaluate page performance using tools like Google Analytics, heatmaps, and A/B testing platforms.

• drive customer value through technology • collaborate with internal teams to innovate • take ownership of product development and strategy • analyze market and customer needs

• Owning Doctor Success strategy and outcomes • Co-own the core success and health metrics for the marketplace customer base: retention, churn and the reduction of zero-booking (“zero-UB”) doctors • Partner with Customer Success and Patient Marketing to set doctors up for success from onboarding through renewal, closing the loop between how a profile is configured and the bookings it generates • Design differentiated success journeys for different customer segments, specialties, and maturity levels • Own the business logic that governs how doctors and clinics are ranked, matched, and surfaced across marketplace search and listings • Balance patient experience and relevance against doctor outcomes and commercial objectives, and define the guardrails that keep that balance healthy • Define evaluation frameworks, success metrics, and experiments to measure and continuously improve ranking quality • Own the roadmap and business logic for our paid visibility products, including First Class (premium placement) and Media360 (managed patient-acquisition media) • Make the value of these products transparent to customers, so the ROI is obvious and repeatable • Use SQL and analytics tools daily to answer your own questions, size opportunities, and validate decisions – without waiting on someone else to pull the numbers • Instrument products well, define the metrics that matter, and build the dashboards and experiments the team runs on • Drive an experimentation culture: form hypotheses, run A/B tests, read the results honestly, and iterate • Use AI tools such as Claude, Claude Code, Cursor, and AI prototyping tools daily to accelerate discovery, prototyping, PRD creation, and execution • Move quickly from research and discovery to validation, launch, and iteration using AI-assisted workflows • Work closely with Customer Success, Patient Marketing, Engineering, Data, Design, and country teams to deliver impact across markets • Use qualitative and quantitative research to inform decisions and optimise customer outcomes • Help evolve our marketplace and AI-native product practices and level up the wider product organisation

• Define and drive the strategy for AI-powered patient engagement experiences. • Identify high-impact patient problems and prioritize AI-driven solutions that improve engagement, retention, and trust. • Design personalized healthcare journeys tailored to different patient needs, behaviors, and health profiles. • Partner with stakeholders across the organization to shape the future of AI-enabled healthcare experiences. • Work on LLM-powered experiences, including conversational interfaces, prompt optimization, and AI interaction flows. • Create intuitive user experiences that help patients navigate their healthcare journey through AI-driven guidance and recommendations. • Analyze conversational data and product metrics to continuously improve AI-generated responses and patient outcomes. • Drive experimentation and iterative product improvements using data-driven methodologies. • Use AI tools such as Claude Code, Cursor, ChatGPT, and AI prototyping tools daily to accelerate discovery, prototyping, PRD creation, and execution workflows. • Create prototypes and product specifications closely connected to engineering implementation and spec-driven development practices. • Move quickly from research and discovery to validation, launch, and iteration using AI-assisted workflows. • Collaborate closely with Engineering, Design, Data, Legal, and AI teams to deliver impactful and safe AI-native experiences. • Leverage qualitative and quantitative research to inform product decisions and optimize user outcomes. • Help evolve AI-native product development practices and contribute to up skilling the broader product organization.