Aline

Manager

• Partner with customers and business leaders to drive external analytics product development and internal enterprise analytics capabilities
• Develop and maintain scalable enterprise analytical data models, intervention evaluation frameworks, and brand consistency
• Conduct complex analyses related to client value attainment, network management, client workflow adherence, and product function among other topics
• Design and create both external application-embedded and internal enterprise analytics assets (dashboards, ad hoc analyses, reports) that assist our clients and internal stakeholders with achieving their business outcomes.
• With our product and training team colleagues, design how to engage users and support development of accompanying resources to enhance user experience
• Serve as a subject matter expert and advisor in collaboration with our client services, clinical, and product teams
• Hire, develop, and grow the careers of analytics team members – thoughtfully manage and grow a team to achieve these objectives above as the company grows

Manager, Analytics

Full-stack Engineer

• Design, develop, and maintain new application features while ensuring existing functionality remains robust and well-tested
• Write efficient and maintainable code with comprehensive test coverage, collaborating with QA engineers to test features and automate testing
• Co-deliver and validate integrated technology solutions with client and partner technology team members
• Collaborate within an Agile Scrum team, engaging in sprint planning, daily standups, backlog refinement, and sprint reviews
• Develop a deep understanding of PAA software and participate actively in code reviews and design discussions, providing constructive feedback and suggesting technology and process enhancements
• Partner with Product team members, DevOps engineers, and InfoSec professionals to align development efforts with business goals

Full Stack Software Engineer

Product Manager

• Define and evangelize the roadmap for care transition features — from hospital discharge planning through 30/60/90-day post-acute follow-up with focus on skilled nursing transitions
• Identify white-space opportunities by synthesizing clinical evidence, patient journey research, and market intelligence – and recognize when feature requests are pointing at deeper architectural opportunities
• Partner with product leadership to shape annual product strategy, OKRs, and investment priorities for the post-acute domain
• Lead continuous discovery with clinical end-users - shadow care managers and nurses in real workflows, not just run interviews
• Design and run rapid experiments (prototypes, pilots, A/B tests) to validate problem-solution fit before full build, taking advantage of modern AI-assisted prototyping to move faster than traditional cycles allow
• Translate qualitative insights and quantitative data into well-scoped, high-confidence hypotheses and into concrete specs engineering can act on immediately
• Own the full sprint lifecycle — from story writing and acceptance criteria to UAT sign-off and release, using our AI centric tool sets to spend more time on judgment and less on process
• Collaborate with engineering and design to ship features that are clinically accurate, HIPAA compliant, and delightfully usable
• Maintain a healthy, prioritized backlog that balances strategic initiatives with technical debt and partner commitments
• Define and track product KPIs tied to clinical outcomes, efficiency gains, and patient experience
• Build feedback loops with customer success and clinical operations to continuously improve post launch
• Report on product performance and key learnings to executive, customer, and clinical leadership

Manager, Analytics

Full Stack Software Engineer

Senior Product Manager