Role Description The Product Manager, Client Delivery leads enterprise client programs on the Lirio platform from concept through launch and adoption to measurable results. This role owns the client delivery roadmap and its execution, partnering with clients and cross-functional teams across AI/ML, Analytics, Behavioral Science, Engineering, Operations, and Customer Success to translate client needs into scalable, reusable capabilities. With a bias for action, clear communication, and strong outcome orientation, this person keeps programs moving against committed timelines while balancing client value, business goals, product fit, technical feasibility, and team capacity. Essential Duties & Responsibilities - Product Definition - 40% - Define and own the roadmap for client-driven product capabilities, balancing committed client outcomes, product priorities, and reusable growth. - Decide what to build and what to defer: run continuous discovery with clients and cross-functional partners to validate the problem, demand, and value. - Use data, market research, and client signals to prioritize across competing ideas, weighing effort against business and user impact, surfacing opportunities and risks, and backing recommendations with clear success metrics. - Translate priorities into a clear, actionable backlog with well-defined requirements, ensuring teams understand what to build, why it matters, and how success will be measured. - Grow self-service by turning repeatable operational needs into configurable product features, reducing reliance on manual delivery over time. - Delivery & Execution - 30% - Lead the full product delivery cycle across teams, from concept through build, launch, and continuous improvement. - Create and maintain the artifacts that drive work, from business intent and use cases through wireframes, prototypes, workflows, epics, and user stories. - Steer work through Lirio's AI Development Lifecycle, driving the product review at each gate to keep solutions on scope, on track, and tied to customer value. - Client & Stakeholder Relationship Management - 15% - Serve as the product point of contact for client delivery counterparts, driving alignment on plans, timelines, and expectations. - Support enterprise growth by partnering with the commercial team to identify client problems Lirio's product can solve and surface expansion opportunities. - Communicate roadmap, trade-offs, dependencies, and risks transparently to internal and external stakeholders. - Cross-Functional Collaboration - 15% - Partner with product, behavioral science, AI/ML, engineering, and operations to assess product fit and feasibility for client solutions. - Collaborate across the Lirio Factory to align resources, resolve dependencies, and deliver high-quality outcomes on committed timelines. - Surface recurring needs across clients and share insights with other product managers to inform broader roadmap priorities. Qualifications - 3+ years of product management experience, preferably in SaaS or enterprise technology. - Strong product fundamentals, including discovery, requirements definition, outcomes-driven prioritization, and translating insights into clear product direction. - Experience leading enterprise product launches, implementations, or client-facing delivery initiatives. - Skilled at managing client and stakeholder expectations, including negotiating tough trade-offs while maintaining alignment. - Strong communicator who distills complex ideas for technical and non-technical audiences, including customers and senior executives. - Comfortable using data and metrics to validate assumptions and demonstrate business value. - Innovative, structured problem-solver who turns ambiguity into clear direction. - Skilled at using AI-assisted tools and data-informed insights to strengthen requirements, accelerate decisions, identify risks, and improve product outcomes. - Familiarity with healthcare data and regulatory requirements strongly preferred. Preferred Qualifications - Healthcare, digital health, payer/provider, retail health, or life sciences experience. - Experience with AI/ML-enabled products or AI-assisted workflows. - Familiarity with healthcare data, HIPAA, PHI/ePHI, or regulated environments. - Startup or high-growth company experience. Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $115-$135k

• Lead product strategy and execution for the internal software suite powering field deployment, camera installations, and permitting workflows. • Direct a team of Product Managers responsible for internal operational tooling, guiding portfolio-level tradeoffs and roadmap decisions. • Partner with Operations executives to translate field deployment bottlenecks into scalable software capabilities, workflow optimizations, and practical AI automation. • Collaborate with Engineering, AI/Data Science, and Applications teams to embed intelligent automation directly into installer and permitting systems. • Establish clear product engagement frameworks across implementation, delivery, customer, and supportability product lanes.

• Build, operate, and continuously improve the Product Marketing operating model • Establish the lifecycle for messaging, positioning, and related PMM foundations • Create and maintain a consolidated product roadmap that connects product direction to customer-facing inputs • Own the PMM-side launch strategy and governance system • Partner with various teams to codify roles, decision rights, and required inputs

• Build, operate, and continuously improve the Product Marketing operating model • Establish the lifecycle for messaging, positioning, and related PMM foundations • Create and maintain a consolidated product roadmap • Own the PMM-side launch strategy and governance system • Partner with PMM, Solutions Marketing, Integrated Marketing, and more to codify roles and decision rights • Build scalable templates, reporting, knowledge systems, and responsible AI or automation-enabled workflows