Jobs at Hello Heart

Lead investor relations, capital markets engagement, fundraising, investor and Board communications, valuation analysis, and public-company readiness. Partner with the CEO, CFO, Finance, Legal, and Communications teams to shape Hello Heart’s investment story, build institutional investor relationships, support a Series E financing, and prepare the company for a potential IPO.

Provide empathetic email and phone support to healthcare platform members. Investigate app, device, and account issues; resolve tickets; manage escalations; document cases; protect HIPAA-regulated information; and communicate proactively with members and internal teams. Monitor support metrics, identify recurring issues, suggest process improvements, and use approved AI tools responsibly to improve support workflows.

Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.

Leads client retention and expansion strategy for a healthcare technology portfolio. Builds executive relationships, drives renewals, contract negotiations, upsells, and revenue growth, while conducting market analysis and communicating client feedback internally. Partners with customer success, marketing, growth, product, clinical, and operations teams to improve client outcomes and product-market fit. Requires an MBA, consulting and healthcare experience, strong negotiation and relationship skills, and approximately 30–50% travel.

Lead product analytics for digital health products using large healthcare and behavioral datasets. Define metrics, forecast performance, analyze engagement, design A/B tests, apply causal inference and statistical modeling, monitor production ML models, and provide recommendations that shape product strategy. Collaborate with Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success teams while communicating actionable insights through clear data storytelling.

Provides legal counsel to product and commercial teams at a digital health company. Drafts and negotiates health plan, employer, partnership, data, technology licensing, MSA, BAA, and NDA agreements. Advises on AI-enabled products, privacy, intellectual property, product claims, healthcare regulations, CPOM, fee-splitting, telehealth, and fraud-and-abuse risks. Builds legal processes, templates, playbooks, and workflows while managing matters and providing practical risk guidance.

Leads revenue operations across the GTM funnel by building Salesforce and AI-powered dashboards, KPI frameworks, forecasting processes, and reporting workflows. Partners with GTM leadership, Finance, Systems, Enablement, and developers to improve data quality, translate business needs into technical requirements, manage processes, support adoption, and deliver executive-ready insights. Oversees reporting across Salesforce, Gong, Salesloft, Highspot, and related platforms.

Leads strategic Fortune 500 client accounts across the full customer lifecycle, including adoption, retention, renewals, revenue growth, and executive relationship management. Partners with product teams to influence roadmap decisions and champion new offerings. Requires enterprise customer success or account management experience, employer healthcare expertise, strong communication, strategic thinking, and fluency with AI tools. Travel up to 40% is required.

Leads Hello Heart’s enterprise marketing strategy and team, driving B2B demand generation, qualified pipeline, positioning, messaging, sales enablement, partner marketing, events, and product launches. Partners with Sales, Customer Success, Partnerships, Product, and BDRs to support commercial growth across employers, consultants, health plans, and strategic partners. Owns campaign performance measurement, KPIs, experimentation, and optimization while embedding AI into marketing strategy and operations.

Investigate and resolve complex production issues across backend services, data workflows, and technical support systems. Analyze logs, query SQL and MongoDB databases, troubleshoot JSON/YAML configurations, support client integrations, and assist with bug fixes and data validation. Partner with Engineering, Client Operations, and User Support teams to identify root causes, escalate issues, improve workflows, and reduce recurring support problems.

Lead end-to-end development of predictive ML models for user engagement and cardiovascular risk: data exploration, feature engineering, training, validation, deployment, monitoring, A/B testing, and MLOps; write production-grade Python; apply strong statistical methods, causal inference, and advanced ML techniques; collaborate with product, data, and software teams.