Top Tech Jobs & Startup Jobs in Seattle, WA

Own go-to-market execution and adoption for assigned products: define positioning, lead GTM readiness, enable sales and customer-facing teams, run beta and validation programs, monitor adoption and revenue, support strategic deals, synthesize customer and competitive insights, and mentor Outbound PMs to drive launch effectiveness and adoption growth.

Lead Salesforce Product-to-Cash architecture, coach engineers, design HLD/LLD and roadmaps, govern integrations and billing systems, build POCs, apply AI-first solutions, and ensure scalable, secure Revenue Cloud/CPQ implementations across quoting, billing, invoicing, and revenue processes.

Lead technical vision and roadmap for a company-wide ML platform: define reference architectures, MLOps best practices, security, observability, and integrations; mentor engineers and drive cross-team platform initiatives.

The Senior Product Manager will lead the AI product roadmap for Revenue Cycle Management, focusing on AI-driven billing solutions and metrics measurement, while collaborating with cross-functional teams to deliver value.

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.

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.

Lead and scale a ~50-engineer organization for Transitions of Care. Define engineering strategy and architecture, partner with product and stakeholders, coach managers, drive hiring and operational excellence, and support AI-driven, cloud-based platform delivery.

Lead enterprise Salesforce architecture by translating business requirements into scalable Salesforce solutions, driving taxonomy and domain alignment, managing architecture reviews, guiding integrations and data migrations, developing technical standards and roadmaps, and mentoring teams to deliver large-scale CPQ/Product-to-Cash and SaaS implementations.

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.