Podimetrics

Software Engineer

• Define and execute Podimetrics’ enterprise data and AI strategy, aligning investment, architecture, and delivery to the company’s mission and growth objectives.
• Own the development and deployment of the AI-enabled Clinical and Data Platforms, including platform architecture, software development, data engineering, model development and deployment, and ongoing operations.
• Lead the Clinical and Data Platform software engineering group, setting technical direction, delivery standards, and engineering culture in partnership with broader Product and Engineering leadership.
• Build relationships with senior-level operations and commercial leadership to understand multifaceted business problems and develop analytical and platform solutions to complex issues.
• Work closely and collaboratively with peers to solve problems, with hands-on ability to execute, and not just lead.
• Build and continuously monitor reports, dashboards, and analytics products to track key healthcare quality, efficiency, and operational metrics.
• Review policies for value-based programs, synthesize the information, and communicate the implications to our markets and executive leadership.
• Define business and technical requirements for platform, database, and system development, and ensure architectural decisions are sound, scalable, and consistent with regulatory, security, and privacy requirements (including HIPAA).
• Partner with Analytics leaders and peers, and with operational customers, to understand business problems, elicit requirements, develop analysis and reporting roadmaps, and deliver results according to plan while meeting or exceeding customer expectations.
• Maintain a clear focus on delivering actionable insights and AI-enabled capabilities that help operational customers deliver better care, improve patient outcomes, and lower unnecessary costs and utilization.
• Define and communicate a clear, compelling vision for the team that aligns with Podimetrics' mission and vision.
• Provide leadership, motivation, coaching, feedback, and support to encourage and strengthen the development of an effective, high-performing, multidisciplinary team spanning data science, analytics, and software engineering.
• Lead change through effective communication, explaining the connection and value to the organization while understanding the impact on the team to obtain commitment.
• Serve as an executive-level representative for data, analytics, and AI with the board, investors, customers, and partners as needed.

VP, Engineering – AI

Call Center Representative

• The Nurse, Clinical Service Excellence plays a vital role in delivering proactive, compassionate, and evidence-based care to patients enrolled in our remote monitoring programs.
• This nurse is responsible for engaging with patients via telephone to educate, assess, document, and escalate findings using standardized protocols.
• Nurses in this role help reduce risk, improve outcomes, and ensure a seamless, supportive care experience.
• Patient Outreach & Education: Contact patients in a timely manner based on triggered alerts, protocols, or follow-up needs.
• Conducts telephonic assessments based on care model to then evaluate findings that require intervention by a health care provider, identify continuing educational or coaching needs, and reinforce foot care best practices.
• Deploys a patient-centered approach that provides an exceptional patient experience.
• Support efforts to ensure patients are adherent within in the Podimetrics program.
• Provides feedback and voice-of-the-patient experience to inform program, process, and technology improvements.
• Accurately document patient findings, symptoms, and trends using Podimetrics systems and SOPs.
• Identify high-risk indicators and initiate appropriate clinical escalations to the provider or care team.
• Workflow Execution: Efficiently manage assigned queues including outbound calls, inbound calls, escalations, inflammation check-ins, and pilot-specific protocols.
• Complete all documentation within required timelines to maintain service-level standards.
• Maintain reliable remote connectivity and demonstrate the ability to troubleshoot basic technical issues independently to ensure uninterrupted workflow and patient support.
• Cross-Team Collaboration Communicate clearly with peers, leads, and managers to ensure continuity of care and seamless handoffs.
• Contribute insights during huddles or team meetings to support service excellence.
• Quality & Performance Monitoring Meet or exceed quality standards, productivity goals, and patient experience expectations.
• Participate in peer reviews, audits, and improvement initiatives.

Call Center Clinical Nurse

Data Engineer

• Design, build, and maintain critical infrastructure, including but not limited to enterprise data warehouse structures and pipelines in BigQuery.
• Develop and maintain dbt models, tests, and documentation to standardize and transform data in line with our data strategy.
• Ensure consistent, reliable data structures by owning data modeling standards, documentation, and best practices.
• Monitor, troubleshoot, and improve existing pipelines with an emphasis on automation, maintainability, and data quality.
• Partner with analysts, data scientists, software engineers, and business stakeholders to design datasets that are high quality, well-modeled, and optimized.
• Design and implement data ingestion patterns from event streams, translating operational events into analytical structures in BigQuery.
• Implement best practices for data testing, data lineage, and data governance within dbt and downstream tools.
• Investigate and resolve data quality issues by identifying root causes and delivering sustainable, technically sound solutions.
• Proactively identify opportunities to improve data reliability, scalability, and usability across the organization.
• Use AI coding tools (LLMs, code generation, etc.) to accelerate development and set the standard for AI-native engineering practices on the team

VP, Engineering – AI

Call Center Clinical Nurse

Senior Data Engineer