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The Senior Product Manager - Platform Services will oversee the strategy and execution of platform capabilities, managing APIs and shared services while collaborating with internal teams and stakeholders to ensure successful product outcomes.

As an Intermediate AI-Enabled DevOps Engineer, you will support and improve cloud infrastructure and CI/CD pipelines, automate operational tasks, and monitor system health while working closely with senior engineers.

The Senior Product Manager will own the platform services roadmap, manage APIs and shared services, engage cross-functional teams, and drive product value, ensuring alignment with company strategy and customer needs.

The Senior Product Manager will drive the AI product roadmap for Revenue Cycle Management, overseeing product lifecycle and collaboration with various teams to enhance billing workflows with AI integration.

Serve as the primary customer contact for provider/payer clients, driving adoption of PointClickCare, identifying performance-improvement opportunities through data, building long-term account plans, coordinating client-to-client collaboration, delivering ROI narratives, and providing ongoing consultative support and training to maximize product value.

Own go-to-market execution and adoption for assigned products: define positioning, lead GTM readiness, run beta/validation programs, enable sales and customer teams, monitor adoption and revenue metrics, support strategic deals, and inform roadmap with customer and competitive intelligence.

The role involves applying AI/ML techniques to develop model systems for healthcare, collaborating across teams, and conducting R&D.

Build and own a versioned, documented gold data layer from silver Lakehouse sources for AI research. Transform, validate, and curate multi-modal datasets, build reusable Databricks/PySpark pipelines, automate quality and labeling, support researcher workflows, and maintain lineage and dataset snapshots for model development and evaluation.

Build and own a versioned, documented gold data layer from lakehouse silver tables for AI research. Transform, validate, and productize multi-modal datasets and pipelines (Databricks/PySpark) to support model development, evaluation, and production ML/LLM workflows while ensuring data quality, provenance, and regulatory controls.

Design, build, and maintain Salesforce-based AI Agents (Agentforce) and intelligent automations. Develop integrations, write and test Apex/JavaScript/Python code, create automated tests, troubleshoot issues, produce technical documentation, support DevOps processes, mentor junior engineers, and collaborate with product and business teams to prototype and deliver AI-driven solutions.