Pager Health

Nurse Navigator

• Provide exceptional customer service and virtual care by communicating with patients via live messaging, video, phone, and/or email
• Document within EMR
• Follow and apply clinically validated triage protocols
• Ensure the highest quality customer service for patients and providers
• Complete basic nursing responsibilities, outpatient testing, medications, etc.
• Troubleshoot technology with patients
• Work to ensure a seamless patient call center experience
• Coordinate lab orders, prescription orders, radiology tests, and any aspect of patient care
• Work on projects that will optimize operational efficiency and improve the patient’s telemedicine experience
• Assist in identifying technology needs that improve patient experience
• Additional projects as assigned

Nurse Navigator – Overnight

Sales

• Lead and mentor the Regional Vice Presidents (RVPs) and other sales team members
• Foster a high-performance culture focused on accountability, learning, and excellence
• Set and monitor KPIs, quotas, and pipeline metrics to ensure predictable revenue performance
• Collaborate with executive leadership to prioritize key market segments and strategic partnerships
• Refine and continuously improve consultative sales methodology aligned to buyer journeys and complex, solutions-based sales cycles
• Serve as the executive sponsor for critical opportunities, including supporting C-level engagement and contract negotiations
• Work closely with Marketing, Client Success, and Product to ensure messaging alignment for sales enablement initiatives
• Lead forecasting and pipeline management using CRM and analytics tools, providing regular reporting and insights to leadership
• Represent Pager Health at industry events to elevate brand credibility and market visibility
• Maintain a diverse and inclusive sales organization, supporting hiring and ongoing development of talent
• Actively contribute to company-wide strategic planning and go-to-market execution alongside the Chief Growth Officer and executive peers
• Meet individual quota goals

Vice President – Sales

Software Engineer

• Architect and build applications and SDKs for the iOS platform
• Manage releases and SDK versioning
• Maintain a public facing API documentation for working with our SDKs
• Ideate and propose platform specific improvements for our SDKs
• Maintain code quality and high standards of development
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Build and maintain CI/CD infrastructure along with internal tooling and reporting infrastructure
• Work with product team to translate business requirements into smaller work units for the engineering team
• Collaborate with other engineers to plan, build and test new features
• Understand existing tech debt, and work with team leads on proposals to manage tech debt
• Participate in technology roadmap discussions

Mobile Engineer

General

Solutions Engineer

• Serve as the organization’s foremost technical authority on healthcare IT, bringing deep fluency in regulatory requirements, clinical workflows, and emerging technologies. Proactively monitor trends in healthcare IT and share intelligence with internal teams to inform product strategy and competitive positioning. Stay on top of competitive landscape and changing market dynamics.
• Partner with the Sales team to qualify and advance opportunities across the healthcare sector. Provide technical insights, lead product demonstrations, and respond to prospect inquiries related to implementation, integration, security, and scalability. Help the team close complex deals by translating technical capability into business value.
• Work directly with prospects and customers to uncover requirements and pain points. Translate those needs into tailored technical solutions, customizations, and integration designs. Collaborate with Product and Engineering to communicate customer requirements back into the roadmap and advocate for healthcare-specific product enhancements.
• Design and deliver compelling, iterative product demonstrations that illustrate how Pager’s solutions close care gaps, accelerate speed to care, drive member engagement, and improve operational efficiency. Tailor each presentation to the specific audience and use case.
• Build and sustain trusted relationships with senior stakeholders at healthcare organizations and payers — including IT decision-makers, clinicians, and administrators. Act as a strategic advisor who understands their goals, constraints, and desired outcomes, and who consistently delivers credible, actionable technical guidance.
• Lead the technical components of RFP and RFI responses. Develop solution architectures, contribute to proposal narratives, and ensure that Pager Health’s technical differentiation is clearly and compellingly articulated.
• Maintain current knowledge of healthcare compliance standards (HIPAA, HITECH, and related regulations) and emerging trends in healthcare IT. Proactively share updates and implications with the sales team and internal stakeholders to ensure Pager’s positioning remains current and credible.
• Coordinate with Marketing, Product Management, and Customer Success to ensure consistent messaging and a seamless customer experience. Surface customer feedback and market insights to help shape product strategy, roadmap prioritization, and go-to-market positioning.

Director, Sales Solution Engineering

Platform Engineer

• Provide technical leadership and architectural direction for our cloud platform and infrastructure.
• Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code.
• Lead the design and continuous improvement of our CI/CD platform and deployment automation.
• Develop self-service tooling that enables engineers to provision, deploy, and operate services independently.
• Improve platform reliability, disaster recovery readiness, observability, and cloud cost efficiency.
• Establish engineering standards, best practices, and reusable platform patterns.
• Mentor engineers through architecture reviews, code reviews, technical guidance, and collaborative problem solving.
• Lead complex technical initiatives from research and planning through production deployment.
• Partner closely with Software Engineering, Security, and Operations teams to deliver secure and scalable solutions.
• Participate in incident response, root cause analysis, and long-term platform improvements.

Lead Platform Engineer

Performance Marketing

• Own digital demand generation programs across paid search, paid social, display, retargeting, and other acquisition channels.
• Manage campaign strategy, execution, optimization, and reporting.
• Monitor performance metrics and continuously improve conversion rates, lead quality, and ROI.
• Identify new channels, audiences, and growth opportunities.
• Own HubSpot and Pardot administration, optimization, and governance.
• Lead marketing automation strategy, including nurture programs, lead routing, scoring, list building, segmentation, and lifecycle management.
• Partner with Sales and Revenue teams to improve lead management processes and reporting.
• Ensure marketing technology platforms are integrated, scalable, and aligned with business goals.
• Support Wordpress website updates, as needed.
• Serve as the marketing owner for Braze.
• Support account-based marketing programs through audience targeting, campaign execution, and reporting.
• Own email marketing strategy, execution, testing, and optimization.
• Leverage third-party data sources, including ZoomInfo and other enrichment platforms, to improve targeting and campaign effectiveness.
• Build audience segments and nurture programs that drive engagement and pipeline growth.
• Develop Salesforce dashboards and reporting that measure campaign, channel, and full-funnel performance.
• Provide actionable insights and recommendations to Marketing and Growth leadership.
• Establish testing frameworks to improve campaign performance over time.

Performance Marketing Manager

Marketing

• Advance and steward Pager Health’s visual brand identity across marketing and sales channels, ensuring consistency and alignment with our evolving market position.
• Create high-impact visual narratives for digital marketing, executive presentations, sales enablement materials, social media, thought leadership, video/motion, and web.
• Partner with Marketing and Sales to refine messaging and architect persuasive presentation stories for buyers and RFP responses.
• Translate complex and data-heavy healthcare and AI concepts into clear, compelling visuals, including charts, diagrams, frameworks, and infographics.
• Develop scalable templates, visual systems, and storytelling frameworks that improve speed, quality, and consistency across teams.
• Own management of the design and media library, maintaining quality control and version integrity.
• Support Growth and executive leadership with polished, data-driven presentations for internal strategy and external stakeholder engagement.
• Provide graphic design support for member engagement, including client-branded assets across email, digital assets, and direct mail
• Introduce modern design approaches and leverage emerging tools, including AI-enabled software, to increase efficiency and creative impact.

Brand and Creative Marketing Designer

Data Scientist

• Lead the design, development, deployment, and optimization of machine learning, predictive analytics, and AI-powered solutions.
• Translate business challenges and opportunities into analytical approaches, model specifications, and measurable success criteria.
• Apply advanced statistical analysis, machine learning techniques, and data science methodologies to solve complex business problems.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and actionable insights.
• Develop and maintain model documentation, technical specifications, and implementation plans.
• Stay current with emerging technologies, tools, and best practices in data science, machine learning, and artificial intelligence.
• Design and execute comprehensive validation and evaluation strategies for machine learning and generative AI solutions.
• Develop benchmarking frameworks and success metrics to assess model performance, reliability, and business impact.
• Evaluate model quality using quantitative and qualitative measures, including accuracy, precision, recall, robustness, latency, and business outcome metrics.
• Assess generative AI applications for response quality, grounding, relevance, consistency, and hallucination risk.
• Identify and mitigate risks related to bias, fairness, explainability, privacy, and model reliability.
• Perform model validation, testing, and performance assessments prior to production deployment.
• Establish monitoring processes and evaluation methodologies to ensure continued model effectiveness and alignment with business objectives.
• Design, execute, and analyze experiments, including A/B tests and statistical studies, to measure product and business outcomes.
• Define key performance indicators and success metrics for machine learning and AI initiatives.
• Measure and communicate the impact of analytical solutions through statistical analysis and quantitative methods.
• Partner with stakeholders to define hypotheses, success criteria, and decision-making frameworks.
• Use experimentation and data-driven insights to guide product, operational, and strategic decisions.
• Collaborate with Engineering and Data Engineering teams to implement, operationalize, and scale models in production environments.
• Monitor deployed models for performance degradation, model drift, data quality issues, and changing business conditions.
• Recommend retraining, optimization, or replacement strategies based on model performance and evolving business needs.
• Support the creation of scalable, maintainable, and reliable AI and machine learning solutions.
• Ensure model deployment processes align with engineering best practices and operational requirements.
• Partner with Product, Engineering, Analytics, and business stakeholders to prioritize opportunities and deliver high-impact solutions.
• Communicate complex analytical findings and technical concepts to both technical and non-technical audiences.
• Present recommendations, insights, and model performance results to leadership and project teams.
• Support technical reviews, project planning, and delivery activities across cross-functional initiatives.
• Contribute to knowledge sharing, documentation, and best practices within the data science organization.
• Provide technical guidance and mentorship to junior team members and peers as needed.