• Own product strategy and roadmap for one or more core areas of the Audiohook platform • Translate customer needs, market signals, and business goals into clear product requirements, specs, and prioritization decisions • Conduct customer research, ride-alongs, and competitive analysis to identify high-leverage opportunities • Partner with Engineering and Design from discovery through launch — writing PRDs, leading scoping discussions, and making tradeoff calls • Define and track product KPIs; instrument features to measure adoption, performance, and business impact • Improve a key platform metric (e.g., feature adoption, performance, or revenue per customer) by a measurable amount within 6 months of hiring • Drive product operations improvements: roadmap rituals, release processes, internal launch comms, and cross-team visibility • Strengthen the systems and tooling the product team relies on day to day • Partner with Product Marketing on launches and with Customer Success on activation and feedback loops • Present roadmap progress and product reviews in company meetings • Communicate clearly and proactively in a remote-first environment

• Serve as the Product Owner supporting the Partner Delivery provider data scrum team, driving scalable, configurable provider data pipeline solutions. • Contribute to product vision, strategy, and roadmap in partnership with Product Managers and executive stakeholders. • Proactively identify opportunities to reimagine processes and introduce innovative solutions that improve scalability, flexibility, and client onboarding speed. • Translate client implementation requirements into user stories, data mapping requirements, and acceptance criteria. • Leverage modern tools—including LLMs and AI-assisted analysis—to accelerate requirements gathering, enhance product discovery, and improve solution design. • Champion a delivery model aligned to implementation milestones, go-live readiness, and client commitments—identify risks and gaps proactively, escalating and addressing them with guidance from leadership. • Develop subject matter expertise in provider data requirements, UM applications, partner integrations, and healthcare data standards (HL7, FHIR, EDI). • Own and maintain the product backlog, including prioritization, grooming, and sprint planning activities. • Support engineering with file transfer processes, data analysis, mapping requirements, and provider network design. • Work with cross-functional partners to bring clarity to ambiguous or evolving requirements, minimizing downstream rework. • Utilize AI-assisted tools to synthesize requirements, identify gaps, and improve documentation quality and speed. • Oversee technical specifications, release notes, and training materials. • Own user acceptance testing to ensure alignment with implementation requirements and stakeholder expectations. • Participate in production support, including issue reproduction, gap analysis, and resolution. • Build strong cross-functional relationships across product, data operations, and engineering teams. • Surface risks early, communicate trade-offs clearly, and manage stakeholder expectations. • Synthesize complex technical concepts into executive-level insights and support decision-making in steering committees. • Influence outcomes and drive alignment across stakeholders, even in complex or competing-priority environments. • Foster a culture of collaboration, transparency, and continuous improvement. • Drive standardization and optimization of provider data onboarding to reduce cycle time and improve quality. • Challenge existing processes and identify opportunities to modernize tools, workflows, and architecture. • Stay current with emerging technologies, including AI/LLM capabilities, to inform product strategy and delivery practices.

• Set the strategic direction for CHG's AI portfolio, building senior leadership alignment around the roadmap and driving decisions with significant influence on how the company operates. • Own the AI product strategy across multiple initiatives and teams, ensuring coherence, sequencing, and prioritization that reflect the company's highest-value opportunities. • Build and maintain a multi-year roadmap that anticipates market shifts, competitive dynamics, and emerging AI capabilities, rather than reacting to them. • Drive cross-functional alignment across engineering, legal, compliance, and business unit leaders on company-wide AI initiatives with significant financial and reputational stakes. • Act as the primary translator between technical capability and business strategy, advising executives on what's possible, what's risky, and what's worth funding. • Represent CHG's AI strategy externally and internally, including with partners, vendors, and potential M&A or build/buy decisions. • Mentor and develop senior and mid-level product managers, raising the bar for product craft and AI fluency across the organization. • Establish and own the metrics that determine success for AI investments at the portfolio level, going beyond individual feature adoption to enterprise ROI. • Define the evaluation frameworks, governance standards, and risk posture that other product managers and engineering teams build against, establishing what ethical, trustworthy, and safe AI practices mean at CHG.

• Own the Growth experimentation pipeline from ideation through implementation and analysis. • Lead approximately 10–20 product experiments each quarter focused on activation, onboarding, engagement, and retention. • Develop hypotheses grounded in customer behavior and business metrics. • Define success metrics before experiments launch and evaluate results using quantitative and qualitative data. • Partner with an embedded data analyst to uncover insights while independently exploring data to identify new opportunities and validate ideas. • Translate data, customer feedback, and experiment learnings into product decisions and future roadmap recommendations. • Partner closely with Engineering, Design, and Marketing to shape, build, launch, and evaluate experiments. • Balance rapid experimentation with larger strategic initiatives that improve long-term product growth. • Talk regularly with customers to better understand their needs and identify new opportunities. • Communicate experiment progress, learnings, and recommendations clearly across the organization.