• Own and maintain the product roadmap, aligning with the 3–5 year product vision and 1–2 year strategy • Translate the roadmap into prioritized development goals in collaboration with R&D • Define business requirements and acceptance criteria, review deliverables, and approve releases • Coordinate closely with internal teams including R&D, support, marketing, sales, professional services, and other stakeholders • Represent business objectives during product design and development decisions • Gather and assess customer and partner requirements through direct and indirect engagement • Analyze competitors, industry trends, and market positioning to inform product strategy • Support product messaging, presentations, and participation in internal or external events • Assist with customer escalations and participate in discussions with key customers when required

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the chance to lead the strategy, development, and scaling of AI and machine learning products that directly influence decision-making and business outcomes. The Senior Product Manager will work closely with engineering, data science, and cross-functional teams to define product roadmaps, improve technical infrastructure, and enhance model-driven workflows. You will identify opportunities to accelerate ML adoption, streamline model development, and maximize impact for both internal teams and end users. This position requires someone who can translate technical complexity into business value, balance strategic thinking with hands-on execution, and drive alignment across multiple stakeholders in a fast-paced, remote-first environment. You will play a central role in shaping how ML models are built, deployed, and scaled across the organization, ensuring measurable impact and operational efficiency. - Lead the product lifecycle for AI and ML model development, from strategic vision to roadmap execution and feature launch. - Collaborate closely with engineering, data science, and cross-functional teams to enhance model-driven workflows and technical infrastructure. - Define, track, and report key success metrics for ML products, ensuring measurable adoption and business impact. - Prioritize research and experimentation to validate hypotheses and optimize both model performance and user experience. - Guide the development of scalable, secure, and efficient shared ML infrastructure, including environment isolation, deployment pipelines, and evaluation frameworks. - Communicate product vision and strategy to stakeholders, ensuring alignment across internal teams and leadership. - Identify opportunities to improve team velocity by understanding constraints, trade-offs, and technical dependencies. Qualifications - 5+ years of product management experience, ideally in AI/ML-driven products or platforms. - 2–3+ years of experience in healthtech, healthcare revenue cycle management, or B2B SaaS environments. - Experience working cross-functionally with engineering, data science, and technical teams to drive product success. - Strong understanding of MLOps concepts, including model registries, feature pipelines, evaluation frameworks, and scalable infrastructure. - Ability to translate highly technical work and requirements into business goals and vice versa. - Demonstrated experience building tools that scale from a single product to an entire product suite. - Strong organizational, communication, and stakeholder management skills in fast-paced, remote-first environments. - Experience managing internal and external stakeholders, aligning priorities, and driving execution. Benefits - Competitive base salary: $180,000 – $205,000 USD. - Comprehensive Medical, Dental & Vision coverage, with employer covering ~75% of premiums. - Remote-first, U.S.-based work environment. - Generous paid parental leave: up to 12 weeks for parents. - Unlimited PTO plus 10 holidays. - 401(k) with Traditional & Roth options and 4% employer match. - Fast-moving, high-impact work environment with minimal bureaucracy. - Collaborative and mission-driven team culture with supportive colleagues.

• Define and lead the product vision and strategy for multiple enterprise products, ensuring alignment with corporate objectives. • Drive innovation by identifying market opportunities, understanding user needs, and analyzing competitive dynamics. • Oversee the development and execution of product roadmap, ensuring timely delivery and cross-functional alignment with business stakeholders (engineering, design, marketing, sales, services, support). • Present product strategies, roadmaps, and performance updates to senior leadership and executive stakeholders. • Lead strategic customer and partner engagement, overseeing joint development initiatives, managing key prospect relationships, and aligning technology partner collaboration with product strategy and roadmap execution. • Mentor and lead a team of product managers, product owners and others, fostering a culture of excellence, innovation, and continuous improvement. • Monitor product performance metrics and use insights to inform strategic decisions and optimizations.

• Develop and maintain a product vision, strategy, and roadmap. • Synthesize feedback and translate it into compelling product features. • Craft the product narrative for internal teams and leadership, and the public-facing messaging that brings features to market. • Define goals with clearly measurable objectives and key results. • Shape how community insights and location data become destination experiences that delight guests and drive business outcomes. • Partner with the host team to unlock community knowledge and turn it into scalable destination content. • Define how destination content surfaces across multiple touchpoints in the guest experience. • Move fluidly between deep data enrichment work and high-quality consumer experiences. • Build alignment across product teams, cross-functional partners, and leadership. • Develop deep expertise through user research, marketplace data, and competitive analysis. • Execute with speed and quality to ship features and deliver impact. • Make prioritization decisions in the best interests of our users. • Foster open communication and curiosity