> Markdown version of [/jobs/ext/516414-product-manager-intelligence-platform](https://www.wearedevelopers.com/jobs/ext/516414-product-manager-intelligence-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Manager - Intelligence Platform - **Company:** Mission Pet Health - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Integration, Automation of Marketing, Systems Development Life Cycle, Recommender Systems, Model-Driven Development, Data Pipelines - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b96dc0edb451d91c ## About the Role Do you have experience in Roadmap creation (System development task)?, * 5+ years in product management, with at least 2 years owning an AI, data, or intelligence product. * Demonstrated ability to own a roadmap end-to-end - strategy through execution - with clear outcomes. * Strong written and verbal communicator; comfortable presenting to clinical, operational, and executive audiences. * Experience working directly with data science or ML teams to bring model-driven features to production. * Track record of driving adoption for products that require behavior change in the field. * Comfortable with ambiguity; able to make decisions and move forward without perfect information. Preferred * Experience in healthcare, veterinary, or appointment-based service businesses. * Familiarity with personalization, recommendation systems, or next-best-action frameworks. * Background in CRM, marketing automation, or client communications platforms. * Experience defining tracking plans and working with analytics instrumentation. * Exposure to launch management processes for regulated or operationally sensitive environments. ## Description * Own the vision, strategy, and roadmap for the intelligence platform - including next best action targeting, automated communications, churn prevention, data integration, and adaptive modeling. * Define how the platform evolves over time: where it deepens, where it expands, and how it connects across the broader product ecosystem. * Make clear prioritization decisions grounded in clinical impact, revenue outcomes, and feasibility. Execution & Delivery * Drive end-to-end product delivery - from problem definition and spec through build, launch, and iteration. * Partner closely with data science, engineering, and analytics to translate intelligence capabilities into usable product features. * Define success metrics, instrument features, and lead structured reviews of outcomes after every launch. * Own launch management: ensure every release has a communication plan, training materials, and a clear adoption path for field and clinical teams. Stakeholder Alignment & Field Partnership * Serve as the primary product owner for the intelligence platform across internal stakeholders - clinical operations, marketing, regional leadership, and the broader technology team. * Build and maintain trust with field leaders by communicating clearly about what the platform does, what it doesn't do, and why decisions are made. * Translate complex AI and data concepts into plain language for non-technical audiences; develop learning materials that drive genuine adoption. * Establish feedback loops with regional and hospital leaders so the product reflects how care teams actually work. AI & Data Product Craft * Develop a working understanding of the models and data pipelines that power the platform's features - enough to ask the right questions, spot risks, and make informed tradeoffs. * Define guardrails and transparency standards for AI-driven recommendations: what gets surfaced, how it's explained, and how clinicians maintain authority. * Partner with the statistical analyst to ensure the platform's outputs are grounded in rigorous measurement and honest evaluation of impact., * Deep understanding of the platform's current capabilities, architecture, and gaps - documented and shared with the team. * A clear v1 roadmap prioritized and aligned with key stakeholders. * At least one active initiative in flight with a defined launch plan, communication strategy, and success metrics. First Year * The platform is delivering measurable impact on purchase frequency and churn reduction across targeted hospital cohorts. * Field and clinical teams trust the platform - they understand what it does, use it consistently, and provide structured feedback. * A repeatable launch and communication framework is in place for all future releases. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [APIs and Architecture for scaling omnichannel payments](https://www.wearedevelopers.com/videos/90-apis-and-architecture-for-scaling-omnichannel-payments) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)