• Identify & Prioritize High-Impact AI Use Cases • Drive Rapid Experimentation • Build & Deliver AI-Enabled Products • Bridge Business, Clinical, and Technology Teams • Embed AI into Real Workflows • Measure Impact & Scale

• Own Visit.org's overall product strategy, collaborate with the CTO and COO to ensure the effective and timely launch and execution of products. • Drive product development, create a long-term strategy and vision, and prioritize work to ensure prompt and high-quality delivery of the roadmap. • Lead the ideation, technical development, and launch of innovative global-scale enterprise products. • Lead an AI-first product strategy by embedding AI capabilities into the product roadmap and driving adoption of AI tools to optimize internal product development processes. • Create a collaborative and dynamic team culture. Proactively plan the structure, scale and develop the product team. • Set processes for your team, working closely with business partners to ensure all are working towards the same goals. • Become an expert with our software, customers, and market, and be able to identify, prioritize, and execute on tactical and strategic projects • Work cross-functionally with other teams, such as sales, account management, and marketing to make sure their objectives are met, opinions are considered, and plans are communicated. • Define metrics that inform the success of our products. • Collect and analyze feedback from customers, stakeholders, and other teams to shape requirements, features, and end products • Manage Data Strategy to support strategic goals • Direct the collection, processing, and interpretation of data from product usage, sales pipelines, and market research. • Present insights from market research to stakeholders in monthly strategy meetings. • Conduct periodic design reviews of major projects with C-level stakeholders.

• Own the Agentic Foundations vision, strategy, and multi-year roadmap; define a north star for an AI-native CX foundation—vendor-agnostic, API-first, and policy-consistent—while setting quantified targets for self-serve resolution rate, agent handle time, and platform reliability. • Design and scale the API and data foundation that powers every CX surface, including structured APIs for refunds, cancellations, credits, redelivery, identity, order actions, a unified contact/case data model, and a policy engine that ensures consistent outcomes across channels. • Modernize the Agent Knowledge Base for an LLM-first world by establishing structure, governance, lifecycle, semantic retrieval, and citation patterns—closing the loop between policy, knowledge, and resolution behavior through continuous feedback mechanisms. • Champion a vendor-flexible, AI-native architecture so switching or layering new AI harnesses is a configuration change—not a multi-quarter migration—enabling rapid experimentation and resilience. • Define and own platform KPIs (e.g., API coverage, latency, reliability, percent of CX operations exposed via standardized APIs, time-to-integrate a new surface) and translate them into business outcomes (self-serve resolution rate, AHT, cost per contact). • Partner across engineering, design, data science, and CX operations to launch iteratively, run controlled pilots with BPO partners, and scale globally while maintaining reliability, compliance, and security.

• Be the owner of our Catalog/Listings product and drive the long-term vision for the world’s leading eCommerce platform, leveraging AI-first approaches to accelerate discovery, decision-making, and delivery. • Synthesize qualitative inputs—including client interviews, support tickets, and survey feedback—using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy. • Define, write, and maintain AI evaluation datasets and rubrics to measure model performance (e.g., accuracy, hallucination rates, tone) • Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. • Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration. • Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment. • Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery. • Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. • Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. • Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. • Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. • Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. • Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions.