Role Description Join our team as Product Manager, Dementia Management Platform and own the software systems that power Ceresti's care delivery engine. This role is responsible for all internal tools used to deliver world-class dementia care, and used daily by operations teams, clinical teams, and dementia care coaches. You will design and evolve the core platform that enables care management, coaching operations, reporting, and internal decision support. You will partner deeply with operations, clinical, engineering, and data teams to translate complex real-world workflows into intuitive, AI-enabled tools that scale. This is a high-leverage systems role. Your success will be measured by improvements in team efficiency, capacity per FTE, workflow automation, and operational quality. If you are energized by workflow design, operational excellence, AI-powered enablement, and building “superpowers” for internal teams, this role is for you. Responsibilities - Product Ownership & Strategy - Own the product vision and roadmap for Ceresti's internal Dementia Management Platform. - Translate company goals around operational scalability, cost savings, and care quality into clear product priorities. - Design systems that enable ops teams and coaches to operate efficiently at scale. - Identify and prioritize opportunities to apply AI and automation to reduce manual work, increase team capacity, and improve quality of care. - Balance near-term execution with long-term thinking to support scalable, efficient engagement as the business grows. - Workflow & Operations Enablement - Deeply understand internal workflows across onboarding, coaching, and care management. - Design intuitive tooling that reduces friction and cognitive load for operational users. - Improve operational workflows, care documentation systems, task management, reporting, and internal dashboards. - Partner with operations and clinical leaders to continuously refine processes and embed them into software. - Build intelligent decision-support tools that enhance coaching effectiveness while preserving human judgment. - AI & Automation - Apply AI responsibly to streamline documentation, automate repetitive workflows, surface insights, and support operational decision-making. - Partner with data and engineering teams to embed predictive models and analytics into internal workflows. - Ensure AI enhances the day-to-day experience of frontline teams. - Execution & Delivery - Define clear product requirements, user stories, and acceptance criteria. - Work closely with engineering to scope, prioritize, and ship high-quality internal tools. - Move quickly, unblock ambiguity, and maintain momentum in a fast-paced environment. - Use modern AI tools to accelerate product development. - Cross-Functional Collaboration - Collaborate closely with clinical, operations, enrollment, and coaching teams. - Partner with data and analytics teams to define operational KPIs and performance dashboards. - Communicate roadmaps, tradeoffs, and progress clearly to leadership. Qualifications - BS/BA degree or higher. - 3+ years of experience as a Product Manager or equivalent. - Experience building internal tools, operational platforms, CRM-based systems, or workflow software. - Strong track record of translating complex real-world workflows into intuitive digital systems. - Comfort working in fast-paced, ambiguous environments where scrappiness and ownership are required. - Experience applying AI or automation in operational settings is a strong plus. - Healthcare, caregiver, or care management experience is a plus. Skills - Systems thinker with strong product judgement. - Highly analytical and metrics-driven. - Strong workflow design instincts and comfort with data-intensive platforms. - Comfort working in ambiguity and developing new 0 -> 1 processes. - Strong judgment around applying AI responsibly in caregiver-facing and clinical-adjacent experiences. - Excellent communication skills. - Highly collaborative; able to build trust across functions. - Organized, pragmatic, and execution-focused. - Curious, adaptable, and comfortable learning new domains. - High integrity, transparency, and ownership mindset. Job Type - Full time Location - This position is fully remote. Proximity to San Diego is a plus. Benefits - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and dynamic work environment. - Flexible work arrangements and remote work options. - Access to cutting-edge technologies and tools. - Opportunity to work with and shape the use of emerging AI technologies in a mission-driven healthcare environment.

• The Product Manager leads the product vision and development of AOT's suite of interconnected digital solutions designed for the public and private sectors. • Responsible for understanding customer needs, market opportunities, and technical capabilities in order to manage this portfolio. • Work cross-functionally with engineering, design, and stakeholders to drive product success from strategy through execution. • Partner with engineering and design to manage the backlog, guide trade-off decisions, and deliver applications that are intuitive, performant, and scalable. • Own the full product lifecycle, from defining requirements and user stories through delivery, iteration, and cost optimization in collaboration with engineering, design, and sales. • Serve as a central point of connection across engineering, design, sales, marketing, and leadership, keeping stakeholders informed and equipped with the inputs they need. • Champion usability, accessibility, and intuitive design by continuously incorporating user feedback into iterative development cycles. • Develop and maintain a prioritized product roadmap that reflects both short- and long-term goals, built in close collaboration with leadership and cross-functional partners. • Track and analyze product performance metrics to surface insights, validate decisions, and drive continuous improvement. • Partner with sales and marketing on product positioning, launch planning, and enablement to ensure new features and releases land effectively with target audiences. • Run structured discovery to validate problems before committing to solutions, through user interviews, prototype testing, and hypothesis-driven experimentation.

• Own measurable business outcomes (adoption, revenue, unit economics, retention) and adjust strategy based on performance signals • Act as the single accountable owner for your product area, making decisions based on data, customer insight, and strategy—not stakeholder opinion • Define and evolve product strategy with clear narratives, including customer problem, expected impact, assumptions, and risks • Own or influence product economics, including revenue performance, cost-to-serve, and monetization strategy • Drive end-to-end product lifecycle from discovery through commercialization, ensuring delivery translates into real business impact • Design and run structured experiments (concept tests, pilots, pricing tests) to validate opportunities before scaling • Operate with an AI-first mindset—leveraging AI across discovery, prototyping, and product capabilities • Continuously modernize your product, improving architecture, reducing technical debt, and adopting new technologies • Apply systems thinking to design scalable, end-to-end customer journeys across workflows, data, and platform components • Own go-to-market outcomes end-to-end, including positioning, enablement, adoption, and commercial success • Partner cross-functionally to drive alignment, influence decisions, and operationalize product changes • Drive towards self-serve, scalable product experiences that reduce operational friction • Synthesize customer insight, product data, and market signals to continuously refine priorities • Lead through influence in a complex environment, making clear decisions under ambiguity • Create clarity through strong written artifacts, decision frameworks, and communication • Foster a high-performance, low-ego culture grounded in accountability and collaboration.

• Own measurable business outcomes (adoption, revenue, unit economics, retention) and adjust strategy based on performance signals • Act as the single accountable owner for your product area, making decisions based on data, customer insight, and strategy—not stakeholder opinion • Define and evolve product strategy with clear narratives, including customer problem, expected impact, assumptions, and risks • Own or influence product economics, including revenue performance, cost-to-serve, and monetization strategy • Drive end-to-end product lifecycle from discovery through commercialization, ensuring delivery translates into real business impact • Design and run structured experiments (concept tests, pilots, pricing tests) to validate opportunities before scaling • Operate with an AI-first mindset—leveraging AI across discovery, prototyping, and product capabilities • Continuously modernize your product, improving architecture, reducing technical debt, and adopting new technologies • Apply systems thinking to design scalable, end-to-end customer journeys across workflows, data, and platform components • Own go-to-market outcomes end-to-end, including positioning, enablement, adoption, and commercial success • Partner cross-functionally to drive alignment, influence decisions, and operationalize product changes • Drive towards self-serve, scalable product experiences that reduce operational friction • Synthesize customer insight, product data, and market signals to continuously refine priorities • Lead through influence in a complex environment, making clear decisions under ambiguity • Create clarity through strong written artifacts, decision frameworks, and communication • Foster a high-performance, low-ego culture grounded in accountability and collaboration