Hello Heart

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the Role As Senior Product Manager for Hello Meds, you’ll own and drive our medication adherence and optimization product across software, connected hardware, and the operational systems that bring them together. Hello Meds combines Pillbox, our connected medication device; Nia, our AI-powered assistant; and Med Review, our pharmacist-led medication optimization service. You’ll work closely with Engineering, Product Design, and Client Experience to execute the product strategy, scale the member experience, and shape the next generation of Hello Meds and Pillbox. This is a highly cross-functional role for a product leader who is equally comfortable owning software experiences, navigating complex operational workflows, and partnering deeply with hardware and firmware engineering. Responsibilities • Own and prioritize the Hello Meds product roadmap across the member experience, Pillbox, and supporting operational workflows • Drive product development in partnership with software, hardware and firmware engineering, and design • Translate member, client, and product data into clear requirements and priorities that improve activation, engagement, and retention • Own and improve critical eligibility and enrollment workflows across client populations • Partner with Client Experience and implementation teams to enable smooth client onboarding and launches • Own Pillbox product and firmware requirements, translating real-world device performance into engineering priorities • Lead Pillbox V2 planning, including feature prioritization, firmware roadmap, accessibility, and usability requirements • Represent Hello Meds product in client and internal stakeholder conversations and support product performance and outcomes initiatives Qualifications • 7+ years of product management experience, including direct experience managing hardware and/or firmware products such as connected devices, IoT, or medical devices • Experience owning consumer-facing software products and roadmaps • Demonstrated ability to manage complex eligibility, enrollment, operational, or data workflows • Strong product judgment and ability to balance user needs, technical constraints, and business priorities • Excellent communication and cross-functional leadership skills, including the ability to work effectively with technical and non-technical stakeholders • Proven ability to drive execution with a high degree of ownership and operational rigor in a fast-moving environment Preferred • Experience in healthcare, digital health, medication adherence, or connected medical devices • Familiarity with employer benefits or health plan eligibility systems • Experience working with healthcare channel partners such as health plans, PBMs, or pharmacy networks • Experience with accessibility standards or regulated device documentation Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the Role: As the App Platform Team Lead, you will lead the team that design, build and operate the app infrastructure Your focus will be on creating and evolving shared code, SDKs, templates and platform services that enables the support of multiple product streams, while managing the unique technical complexity of mobile (iOS/Android, cross-platform code, native integrations). This is a senior, high-impact platform role — the team’s work is central to our mobile product and carries broad technical ownership across the organization. Responsibilities: • Lead a team of engineers, fostering a high-performance and innovative engineering culture. • Define and evolve platform architecture that supports shared code, cross-team reuse, and increased developer velocity while addressing mobile-specific complexity (native modules, bridging, cross-platform patterns). • Make critical technical tradeoffs that balance long-term maintainability with short-term business needs. • Stay hands-on: drive design and implementation of core pieces of the platform and • Drive full-stack development, leading backend and frontend implementations as needed. • Conduct deep technical research to identify and implement the best solutions for performance, security, and reliability. Our Technology Stack: Node.js, React Native, Redux, ReactJS, Scala, Play, Microservices, AWS, Docker, Kubernetes, MongoDB, Redis, PostgreSQL, Spark, Elasticsearch, Kafka, and more. Qualifications: • Experience using AI tools within the software development lifecycle, including the ability to review, validate, and improve AI-generated code. • 2+ years as a Engineering Team Lead with demonstrated people leadership and delivery ownership. • 5+ years building mobile applications for iOS and/or Android. • Strong, practical experience with mobile CI/CD for iOS & Android (build automation, signing, rollouts/canaries). • Proven experience building SDKs, libraries or developer tooling that are consumed by multiple product teams. • Excellent communicator, able to align technical strategy with product needs and translate tradeoffs for cross-functional partners. • BSc in Computer Science or a related field, or equivalent practical experience. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role We are looking for an experienced Engineering Team Lead who excels at people management, cross-team collaboration, and driving execution across organizational boundaries. Your group sits at the intersection of product, operations, finance, and external partnerships. The team's work spans client implementation and integrations, an in-house billing system, a backoffice platform serving internal operations, and a data integrations pipeline connecting Hello Heart to vendors, health plans, and enterprise clients. A significant part of the role involves working closely with US-based teams — including Operations and Finance — and occasionally joining technical calls with external clients and partners. This is a role for someone who combines deep technical judgment with the communication skills and organizational awareness to operate effectively across teams and time zones. Responsibilities • Lead and develop a team of four experienced backend engineers — setting technical direction, running effective processes, and growing individual capabilities. • Maintain and raise the technical quality of systems spanning client integrations, billing, backoffice, and vendor pipelines — upholding standards across code quality, reliability, security, and maintainability. • Drive the technical design and execution of client onboarding and integration projects — working across internal teams and directly with external technical stakeholders when needed. • Partner closely with Product, Operations, Finance, and external client teams to translate complex requirements into reliable technical solutions. • Stay hands-on — contribute to design, code review, and critical implementation where it matters most. • Drive adoption of AI tools and engineering workflows that improve team throughput and output quality. Technology stack • Languages & frameworks: Scala, Play Framework, Node.js • Frontend: React Native, ReactJS • Cloud & infrastructure: AWS, Kubernetes, Docker • Databases: MongoDB, PostgreSQL, Redis • Messaging & streaming: Kafka • CI/CD: Jenkins • Observability: Prometheus, Grafana Qualifications • 3-4 years leading or managing an engineering team — including coaching and driving technical initiatives. • 7+ years of backend engineering experience, with meaningful depth in distributed systems, system design, production reliability, and complex backend architectures. • Solid understanding of cloud infrastructure (AWS or equivalent) and how it underpins reliable system operations, with strong focus on security, performance, and maintainability at scale. • Excellent English communication skills — written and verbal — comfortable operating across US-based teams and occasionally engaging directly with external technical stakeholders. • Hands-on experience with complex integration environments — third-party APIs, data pipelines, or enterprise client onboarding and implementation. • Strong AI fluency — actively uses AI tools to accelerate personal and team workflows. • Degree in Computer Science or a related field, or equivalent practical experience. Nice to have Qualifications • Hands-on experience with Node.js or Scala. • Experience with Kubernetes and containerized deployment environments. • Familiarity with healthcare data integrations. • Experience working in B2B environments Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role Hello Heart is seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team. In this role, you will shape the future of the digital health products that help people understand and improve their heart health. By applying your technical skills, analytical mindset, and product intuition to rich real-world health and behavioral data, you will help define the experiences we build for our users and the value we deliver to employers and health plans. You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success. You will use data and analysis to identify and solve our biggest product challenges, influence product strategy and investment decisions, and translate insights into digital solutions that improve the well-being of the people we serve. What you'll do • Product leadership: Use data to shape product development, quantify new opportunities, and identify upcoming challenges. Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem, ensuring what we build brings real value to users, clients, and Hello Heart. • Analytics: Guide teams with data and insights. Develop hypotheses and test them using a varied toolkit of rigorous analytical approaches, from experimentation to causal inference and statistical modeling. • Communication and influence: Don't just present data, tell data-driven stories. Influence partners with clear insights and recommendations, and become a trusted strategic partner through structure and clarity. Your responsibilities • Work with large and complex datasets, applying statistical analysis and visualization methods to extract meaningful patterns and trends. • Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product and engagement metrics. • Design, execute, and analyze A/B tests, including tests of ML-driven features, accounting for cause/effect and treatment/prevention relationships. • Monitor and analyze the performance of our ML models in production, and generate insights and research leads for model improvements and new data-driven solutions. • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. • Partner with Product, Engineering, Data Science, and healthcare professionals to inform and execute product strategy. • Integrate AI tools into your workflows to drive measurable gains in efficiency and quality. • Stay current with the latest research and best practices in healthcare analytics and AI. Requirements • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field. • 4+ years of hands-on experience in analytics or data science, solving analytical problems using quantitative approaches. • Proven experience leading data-driven projects from definition to execution, including defining metrics, designing experiments, and communicating actionable insights. • Strong knowledge and experience with SQL. • Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization. • Familiarity with experimental design and statistical modeling techniques (e.g., Bayesian methods, propensity score matching). • Experience analyzing or testing the performance of ML models in production. • Hands-on experience using AI tools to support data analysis, coding, research, and problem solving. • Strong analytical and critical thinking skills, with excellent communication and storytelling ability. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the Role: Hello Heart is looking for a Senior ML Engineer/ML Ops to own the engineering behind the models in the Hello Heart app: member engagement, cardiovascular risk stratification, and personalized health recommendations. You'll be the first engineer dedicated to ML on our Data Platform team, and you'll own the full model lifecycle: training pipelines, the model registry, automated evaluation and release, real-time and batch serving, monitoring, and retraining. You'll work closely with the data scientists who own the modeling and with the product engineers who call the models, so that what they build ships safely and runs reliably. Our models run on Snowflake ML. Our ML platform is still taking shape, so you'll set the standards rather than inherit them. You should have a proven record of owning ML systems in production and be comfortable using AI coding assistants as a core part of your workflow. Responsibilities: • Turn model releases into a pipeline: every new version is evaluated automatically, gated against the one in production, approved, and rolled out with a fast rollback. • Build drift and performance monitoring for our production models, and the retraining that follows from it. • Own the model lifecycle end to end: training pipelines, versioning and the model registry, automated evaluation, promotion and rollback, deployment, monitoring, and retraining. • Build CI/CD for ML: automated testing and validation of every model version, release gates with clear criteria, and an audit trail of who shipped what and why. • Serve models in real time through our Python model-serving service and Snowflake Container Services, with a focus on low latency, reliability, and graceful degradation. Run batch inference in the warehouse with clear standards for latency, correctness, and cost. • Build and operate ML pipelines in Airflow and Snowflake, from feature preparation through training and batch scoring, with reproducible training data. • Monitor drift, data quality, latency, and model performance, and automate retraining that goes through the same release gate. • Partner with data scientists, product engineers, and data engineers. Define clear interfaces between modeling, serving, and the services that consume models, and push back when a request belongs elsewhere. • Handle members' health data responsibly: access control, pseudonymization, and nothing sensitive in logs. • Write high-quality, well-tested production code, and own its observability, debugging, and reliability. Requirements: • 5+ years of software engineering, including 3+ years of hands-on MLOps owning production ML systems on AWS with a data or ML platform (e.g., Snowflake ML, Databricks, SageMaker, Vertex AI). • Hands-on model management: versioning, registries, automated evaluation, and promotion and rollback of models in production. • Experience building CI/CD and pipelines for ML: automated training, validation, and deployment (e.g., Jenkins, GitHub Actions), with orchestration in Airflow or similar. • Strong Python experience, including building and operating Python services (APIs or gateways) in production. • Experience serving models in real time: low-latency inference, autoscaling, and reliable serving architectures. • Strong SQL and data warehouse experience (Snowflake preferred). • Experience monitoring models in production (drift, data quality, and performance) and acting on what you find. • Experience owning a solution end to end, from pipeline and model integration through deployment and production debugging. • Proficiency with AI coding assistants as a core part of your workflow, and the judgment to review and verify what they produce. Nice-to-Haves: • Snowflake ML: Model Registry, Snowpark Container Services, ML Observability, or Notebooks and ML Jobs. • Shadow and canary releases for models. • Feature stores and ML lifecycle tooling (e.g., Feast, MLflow, Weights & Biases). • Model development: feature engineering, training, and evaluation with scikit-learn, XGBoost, or LightGBM. • Kubernetes and infrastructure as code (Terraform). • Event-driven systems (Kafka). • Integrating LLMs into production systems. • Observability stacks (Prometheus, Grafana, Datadog). • Experience with health or other regulated data (HIPAA). Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the Role: Hello Heart is hiring a full-time Senior AI Builder to drive AI enablement across Tech, Product, and executive workflows. You will identify high-value manual work, build the AI solution, and own the technical implementation required to make it reliable in production. This includes the workflow itself and the AI-adjacent IT layer behind it. You must also be effective with non-technical executive users. You will turn ambiguous requests into practical workflows and help leaders become independent, confident users of AI. You will report to the SVP, AI & Data Science, with dotted-line priority alignment to an executive sponsor. Responsibilities: • Partner with Tech, Product, and executive leaders to identify high-friction workflows where AI can create measurable operating leverage. • Build and ship agents, automations, and AI-powered workflows, from discovery through adoption. • Own the technical implementation behind AI workflows, including tool configuration, access setup, connector configuration, API and OAuth integrations, workflow deployment, troubleshooting, and ongoing maintenance. • Work directly with non-technical executive users to build reliable workflows for preparation, synthesis, operating reviews, follow-through, and decision support. • Run rapid discovery, build quickly, test in real work, and iterate based on usage and impact. • Partner with IT, Security, and AI Ops to implement approved access and integrations. Escalate only true infrastructure or policy blockers. • Create reusable technical patterns, templates, and playbooks that make future builds faster and safer. • Measure adoption and impact. Retire workflows that do not create durable value. Qualifications: • 5+ years of experience in applied AI, product engineering, workflow automation, technical operations, or a similar hands-on building role. • Strong hands-on ability with LLMs, agent design, prompt engineering, workflow automation, APIs, OAuth, integrations, and light engineering. • Experience configuring and supporting enterprise SaaS tools, permissions, connectors, and operational workflows. • A portfolio of AI agents, automations, or internal tools that demonstrates real adoption and impact. • Ability to work directly with senior, non-technical leaders and translate vague requests into useful, trustworthy products. • Strong judgment about source quality, privacy, security, reliability, and when human review is required. • Comfort troubleshooting real user problems and owning the technical resolution. • Bias toward shipping, measuring, iterating, and killing low-value work. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role: Hello Heart is looking for a curious, analytical, and action-oriented Senior Product Analyst to join our Product Team. In this role, you will be the data leader within your product area, helping the team make data informed decisions, identify opportunities, and measure the impact of product initiatives. Reporting into our Hello Meds GM, you will partner closely with Product Managers, Data Engineers, Business Intelligence Developers, and Software Engineers to turn complex data into clear insights that shape product strategy, roadmap decisions, and business planning. You will play a key role in understanding how members interact with the Hello Meds product, where we can improve their experience, and how we can better support their long-term success. Responsibilities: • Partner with Product Managers and cross-functional stakeholders to support data-informed product decisions, roadmap planning, and business strategy. • Analyze user behavior, product usage, funnels, and engagement trends to identify opportunities to improve the member experience and product outcomes. • Build, maintain, and improve dashboards, reports, and alerts using business intelligence and analytics tools. • Define, track, and evaluate key performance indicators and reporting frameworks that help the business understand product performance. • Translate complex data sets into clear insights, actionable recommendations, and concise narratives for product, leadership, and business teams. • Design and analyze product experiments, including A/B tests, funnel analysis, and other methods that measure the impact of product changes. • Partner with Data Engineering, Business Intelligence, and Engineering teams to ensure data quality, reporting accuracy, and reliable measurement. • Proactively surface trends, anomalies, and risks in the data, bringing findings and recommendations to Product Managers and stakeholders ahead of requests, not just in response to them. • Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation. • Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation. Qualifications: • 5+ years of experience in product analytics, data analytics, business intelligence, or a related analytical role. • Experience with product development, A/B testing, funnel analysis, and business-to-consumer applications is a strong advantage. • Advanced SQL skills, with strong experience analyzing complex data sets and building clear, scalable reporting. • Experience with business intelligence and analytics tools, such as Mixpanel, Tableau, Looker, or similar platforms. • Bachelor’s degree in a quantitative, analytical, technical, or business-related field, or equivalent practical experience. • Strong understanding of statistical analysis and product experimentation. Experience with R, Python, MATLAB, or similar tools is an advantage. • Ability to communicate insights clearly and translate data into actionable recommendations for technical and non-technical audiences. • Strong AI fluency, with the ability to use AI tools and agent-based workflows to accelerate analysis, summarize findings, improve productivity, and enhance decision-making while applying sound judgment and data privacy practices. • Strong problem-solving skills, independence, curiosity, and a proactive, go-getter mindset, with a track record of surfacing risks, gaps, or opportunities before being asked rather than only responding to requests. • Highly organized and detail-oriented, with the ability to manage multiple priorities and adapt quickly in a fast-moving environment. • Passion for data, product impact, and using insights to improve the user experience. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.