Twin Health

Cloud Engineer

• Enhance and evolve the developer experience by improving processes, productivity, security, and quality across the entire development lifecycle.
• Own, maintain, and continuously improve the CI/CD pipeline to streamline software delivery.
• Build and manage infrastructure-as-code (IaC) solutions for Kubernetes and AWS cloud infrastructure to ensure performance, scalability, and reliability.
• Respond to and resolve support requests and production issues related to the application platform and cloud infrastructure.
• Identify, analyze, and proactively resolve bottlenecks in engineering productivity, collaborating with teams to understand their challenges and optimize workflows.
• Develop and provide self-service tools and automation scripts to empower engineers to work independently and efficiently.
• Partner with the Security team to enforce best practices and mitigate vulnerability issues and security incidents.
• Collaborate well with other functional teams and support their initiatives.
• Other duties as assigned.

Senior Platform Engineer, Productivity, Cloud

QA Automation Engineer

• Own end-to-end marketing engagement platform architecture including journey/canvas design, segmentation strategy, campaign logic, deliverability, and dynamic content
• Design, build, and scale lifecycle automations across acquisition, enrollment, engagement, and retention journeys
• Establish and enforce governance standards for naming conventions, template management, QA processes, and campaign documentation
• Serve as the internal marketing engagement platform SME — troubleshoot issues, evaluate new platform features, and continuously drive optimization
• Partner with CDP, CRM, product, and data engineering teams to define audience sync requirements, data mapping, behavioral event instrumentation, and pipeline specifications that power lifecycle campaigns
• Serve as the MarTech voice in data model and pipeline discussions, translating campaign and automation requirements into clear data specifications and advocating for the fields, events, and freshness standards marketing needs
• Lead cross-team coordination across member acquisition, enrollment, and journey teams to align campaign timing, cadence, and channel mix around a unified communication strategy
• Identify gaps and conflicts across journey stages and implement orchestration rules — suppression logic, frequency caps, and priority sequencing — to ensure every touchpoint fits within a cohesive, member-centric framework
• Identify and implement AI-driven opportunities (including Claude and API-based automation) to scale MarTech operations, content personalization, and campaign optimization
• Build and manage API integrations that connect marketing platforms, internal tools, and third-party services
• Continuously evaluate emerging MarTech capabilities and recommend adoption where ROI is clear
• Develop and maintain Python-based scripts and automated jobs (e.g., scheduled ETL processes, audience list generation, campaign triggering) that run on AWS infrastructure (Lambda, Step Functions, S3, EventBridge) to streamline and scale marketing operations
• Design, deploy, and monitor automated marketing workflows in AWS — including cron-based scheduling, event-driven triggers, and error alerting — to ensure campaigns and data syncs execute reliably without manual intervention

Senior Marketing Automation Engineer

Salesforce Developer

• Design, develop, and deploy custom APEX classes, triggers, batch jobs, and schedulers to meet complex business requirements, while also administering and maintaining the Salesforce org to ensure platform stability, performance, and scalability.
• Build modern, responsive user interfaces using Lightning Web Components (LWC) and Aura components.
• Configure and optimize Sales Cloud features including Opportunities, Leads, Contracts and Campaigns.
• Design and implement REST API integrations between Salesforce and third-party platforms including Gong, HubSpot, and Salesloft.
• Manage and optimize the Salesforce–HubSpot bi-directional data sync to ensure consistent customer and pipeline data across systems.
• Integrate Salesloft with Salesforce for seamless activity capture, sequence management, and reporting.
• Build and maintain CI/CD pipelines for automated deployment, validation, and testing of Salesforce metadata across sandbox and production environments.
• Serve as a trusted technical advisor, translating business requirements into scalable Salesforce architecture.
• Partner closely with Sales, Marketing, and Product/Engineering teams to understand evolving needs and translate them into actionable Salesforce solutions.
• Facilitate cross-functional workshops and working sessions to surface pain points, align on priorities, and drive consensus on solution approach.
• Lead technical discovery sessions and produce solution design documents, data flow diagrams, and integration specifications.
• Ensure data governance, security model (profiles, permission sets, sharing rules), and compliance best practices are followed.
• Create and maintain thorough technical documentation including solution designs, API contracts, and operational runbooks.
• Participate in sprint ceremonies, backlog grooming, and release planning as part of an Agile delivery team.
• Other duties as assigned.

Senior Salesforce Technical Consultant

Application Engineer

• Lead the design, development, and deployment of sophisticated AI agents and tools that streamline clinical decision-making, automate complex administrative tasks, and enhance clinical workflows.
• Explore and implement the full-stack architecture required for AI-agentic systems, from context engineering, MCP servers, to API design and deployment.
• Architect and build robust, scalable backend services and integrations (using Python, Java Spring Boot, SQL) that serve as the foundation for our AI applications.
• Collaborate with cross-functional teams to shape the user experience of AI systems, translating clinical and operational needs into concrete technical specifications and prototypes.
• Champion best practices for developing reliable, secure, and scalable AI applications, ensuring all solutions meet compliance standards such as HIPAA.
• Mentor and coach other engineers, modeling cross-functional thinking and helping to elevate the team’s capabilities in building AI-driven products.
• Monitor and optimize the performance of AI systems in production to handle rapid growth and ensure a seamless user experience.
• Take on additional responsibilities as needed, including on-call rotations.
• Regular travel to our Menlo Park headquarters for planning workshops and team collaboration sessions.
• Other duties as assigned.

Senior AI Applications Engineer

AI Engineer

• Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications.
• Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams.
• Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations.
• Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end.
• Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches.
• Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base.
• Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports.
• Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build.
• Other duties as assigned.

Staff AI Engineer

Physician Assistant

• Engage with collaborative team of healthcare professionals including health coaches, physicians, chief medical officer, and other colleagues
• Conduct health assessments including review of laboratory results, medical history, and psychosocial history
• Assess symptoms and treat as appropriate, collaborating with Twin Health member’s primary care provider
• Willingness to deliver care using telemedicine and to document in Twin’s clinical platform
• Manage a high risk population and work collaboratively between the care team and member to understand social determinants of health and population specific needs
• Willingness to learn and understand the Twin Model of Care to support reversal of diabetes and other chronic conditions
• Basic understanding of business objectives and service level agreements that support both financial, clinical, and quality success and outcomes
• Collaborate with Twin medical team to provide excellent customer service and experience, focusing member care around multiple chronic conditions
• Provide patient education to promote habits that will prevent diseases and maintain good health as outlined by Twin Health Program
• Discussing and reviewing patients' medical history, symptoms, allergies, and current medications.
• Asking patients situation-specific questions to assess symptoms
• Prescribing suitable medications to patients and providing proper dosage and administration instructions per Twin Health Policy
• Maintaining accurate records of patients' contact details, medical history, prescribed medications, allergies, diagnoses, and progress
• Additional duties as assigned

Clinical Operations

• Own end-to-end program design and operational strategy for new care model implementations, from discovery and design through pilot, launch, and post-launch management. These programs span new client partnerships, new program types (e.g., hypertension), and adaptations of existing care models.
• Design operationally sound care models for new clients by understanding their member population, existing care infrastructure, and strategic priorities. Translate that understanding into scalable workflow design, care team structures, member engagement strategies, and success metrics.
• Manage operational implementation in real time: anticipate operational bottlenecks, diagnose issues as they emerge during pilot and launch, and drive solutions. This requires hands-on problem-solving, not step-back oversight.
• Lead cross-functional collaboration across in partnership with clinical operations, implementation, product, technology, finance, and senior leadership to align on implementation approach, resolve tradeoffs, and keep initiatives moving forward.
• Serve as a primary internal point of contact for strategic client partners, including health systems, integrated delivery networks, and Medicare Advantage plans, during implementation and steady-state operations. Build trusted relationships with client stakeholders, communicate progress and performance transparently, and surface and resolve issues before they escalate.
• Develop and maintain operational frameworks, playbooks, and enablement materials that translate care model design into day-to-day practice for care teams, including routing logic, member prioritization, escalation pathways, and cross-functional handoffs.
• In alignment with senior leadership, define success metrics for each implementation (e.g. clinical outcomes, operational efficiency, member satisfaction, financial performance) and build measurement infrastructure to track progress and accountability.
• Manage up and across: communicate regularly with senior leadership on progress, risks, and strategic tradeoffs. Escalate issues with clarity and candor. Partner with peer leaders to solve problems that span functions.
• For strategic client relationships, continue to own operational strategy and performance management into steady state, acting as the internal strategic operator for that partnership.
• Contribute to the overall care model roadmap and product strategy by synthesizing implementation learnings, clinical insights, and client feedback into opportunities for improvement and scale.
• Other duties as assigned

Senior Program Manager – Clinical Innovation

Analytics Engineer

• Partner with Product Managers, Care Team leads, and Area owners to translate business goals into measurable hypotheses and actionable insights that drive product enhancements and member outcomes
• Design and evaluate experiments (A/B tests and beyond) to validate product hypotheses and guide iteration
• Partner with Product and ML teams to measure the impact of new features, workflows, and personalization systems
• Build and maintain robust dbt models, dashboards, and self-serve analytics tools using Snowflake, dbt, and BI platforms
• Define, monitor, and communicate KPIs across product areas — member engagement, CGM utilization, Care Team effectiveness, and more
• Collaborate with Data Engineers to ensure the analytical layer is built on a reliable, well-structured data foundation
• Build data pipelines for analytics and insight generation using Python, dbt, and Snowflake
• Develop and implement data validation and monitoring strategies to ensure ongoing data integrity
• Communicate findings clearly and effectively to both technical and non-technical stakeholders
• Create and maintain technical documentation including data models, metric definitions, and data dictionaries
• Contribute to the continuous improvement of data analytics processes and best practices
• Other duties as assigned

Product Analytics Engineer

Platform Engineer

• Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
• Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
• Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
• Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
• Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
• Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
• Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.

Senior AI Platform Engineer

Sales

• Partner Engagement: Build and maintain relationships with health plan Account Executives and benefits brokers/consultants who serve mid-market employers, keeping Twin Health top-of-mind when clients are looking to address metabolic health challenges.
• Co-Selling: Join health plan AEs and broker partners on prospect calls to present Twin Health's solution, answer clinical and ROI questions, and help move deals forward.
• Territory Management: Manage a pipeline of mid-market employer opportunities (1,000–10,000 lives) across your region, with a focus on the Illinois market.
• Education & Enablement: Conduct lunch & learns, webinars, and office visits to educate partner reps on Twin Health's technology and help them identify the right employer clients.
• Collateral & Customization: Partner with marketing to tailor pitch decks, one-pagers, and ROI tools that make it easy for health plan and broker partners to position Twin Health.
• Market Intelligence: Use claims trends and population health data to help partners identify employer clients with high metabolic health spend who would benefit most from Twin.

Partnership Sales, Health Plan, Mid-Market ASO

Bilingual

• Prioritize and manage individual members along the Twin journey to reversal and self-care management
• Deliver remote coaching via apps, video conferencing, and the Twin Health electronic system
• Engage and activate members to set goals, manage their care, and stay motivated on their journey to self efficacy
• Motivate, coach, and provide exceptional service and support to your members to achieve their health goals as designated by the Twin app
• Conduct detailed daily monitoring and management of assigned members to ensure full compliance with the Twin program
• Review member health data and reports daily to ensure accuracy, completeness and program adherence
• Provide feedback to members on daily metrics including weight, continuous blood glucose monitoring, blood pressure, sleep, breathing, movement, adherence to dietary and supplements and satisfaction with the program
• Strictly adhere to Standard Operating Procedures for member management and escalations
• Collaborate closely with coaching team colleagues, providers, registered nurses and operations teams to drive a seamless experience for members
• Work with a multidisciplinary team within Twin and the academic setting to resolve patient care issues and advance members toward chronic disease prevention and reversal.
• Organize and maintain participant’s records in a secure compliant fashion
• Additional duties as assigned