Jobs at Headway

Leads data science strategy for provider growth, including experimentation, marketing and lifetime-value measurement, forecasting, causal inference, predictive modeling, and product analytics. Manages and develops a data science team, creates roadmaps, partners cross-functionally, identifies provider growth opportunities, and translates complex analyses into executive recommendations. The role requires hands-on work with SQL, Python or R, data modeling, and dbt.

Own provider growth product marketing strategy, including provider insight, positioning, messaging, and integrated go-to-market execution. Drive provider acquisition, activation, and early engagement by partnering with Product, Growth, Design, Lifecycle Marketing, Research, Sales, Customer Success, and Creative. Identify high-impact opportunities, influence product and growth decisions, and equip teams with frameworks for consistent provider messaging. Use AI to improve marketing workflows and team effectiveness.

Leads provider-focused product marketing, including customer insight, positioning, messaging, go-to-market strategy, channel planning, product adoption, engagement, and retention. Partners cross-functionally with Product, Lifecycle Marketing, Customer Success, Research, Design, and Creative teams. Influences product strategy, identifies growth opportunities, equips teams with messaging frameworks, and drives measurable provider experience outcomes.

Own patient-focused product marketing across the care journey, from acquisition and activation through retention. Develop positioning, messaging, launch narratives, and go-to-market strategies in partnership with Growth, Lifecycle, Product, Research, and Creative teams. Use customer insights, funnel data, and experimentation to reduce friction, improve patient choice, and drive measurable business outcomes in a regulated consumer healthcare category.

Designs and maintains scalable data pipelines and infrastructure, establishes data governance and quality standards, and drives technical decisions across Headway’s data platform. Partners with Product, Engineering, Analytics, Data Science, Infrastructure, Finance, and Insurance Systems to improve architecture, performance, reliability, security, and AI-readiness. Ensures data is complete, traceable, trustworthy, and suitable for powering internal tools and AI-driven insights.

Lead People Operations programs covering benefits, immigration, leave, payroll, policies, Workday systems, and contingent worker lifecycle automation. Develop scalable employee support workflows, ensure payroll compliance, modernize People Systems, drive change adoption, and partner with Finance, Legal, People Analytics, and Human Intelligence. Manage and develop a high-performing team while shaping broader People strategy.

Senior Data Scientist partnering with Product, Engineering, Design, Operations, and Clinical teams to define metrics, design experiments, apply causal inference, analyze funnels and cohorts, and build predictive models. The role translates complex data into actionable product and business recommendations, operationalizes validated insights, and establishes standards for experimentation and analytical quality across patient, payer, outcomes, and provider-focused teams.

Lead full-cycle technical recruiting for engineering teams: partner with hiring managers, design sourcing strategies, run searches from intake to offer, use data to diagnose and improve searches, and ensure a structured, inclusive candidate experience while building high-quality pipelines.

Lead Headway’s Talent Intelligence and Early Careers Recruiting function. Build teams, campus recruiting strategy, talent mapping, sourcing infrastructure, internship programs, market intelligence, reporting, and long-term candidate pipelines. Partner with recruiting, HR, and business leaders to plan hiring capacity, improve sourcing, manage university relationships, deliver internships and events, and own defined hiring outcomes across technical and business functions.

Build and mature Headway’s infrastructure security program across AWS and application platforms. Partner with Product and Infrastructure teams on secure system design, security reviews, platform guardrails, vulnerability remediation, and continuous infrastructure improvement. Support incident response and security operations while advancing AI-native cloud security practices. The role requires strong technical depth, cross-functional collaboration, and the ability to establish secure-by-default engineering practices in an ambiguous, fast-paced environment.

Own Headway’s provider activation funnel, onboarding strategy, patient porting tools, and early provider appointment growth. Define activation metrics, OKRs, and roadmap while partnering cross-functionally with sales, CX, finance, pricing, ranking, and provider experience teams to improve retention, lifetime value, and provider satisfaction.

Lead end-to-end quantitative market research, including research planning, surveys, advanced statistical analysis, synthesis, and stakeholder presentations. Build and manage brand and sentiment measurement programs, identify customer and market trends, and provide strategic recommendations for growth and product opportunities. Partner with business leaders, promote research-driven decision-making, and mentor junior researchers while scaling the organization’s research practice.

Own the patient search results experience, including provider cards, ranking explanations, filters, sorting, and empty states. Design and evaluate sustained experiments on a conversion-critical surface, collaborate with product, engineering, research, data, and ranking teams, and iterate on shipped experiences. Use AI tools and code-based prototyping to develop high-craft solutions, improve the design system, and help patients make confident therapist choices.

Partner with cross-functional leaders to translate business plans into financial plans, drive capital allocation, build business cases, own budgeting and forecasting, analyze variances, and define trusted KPIs. The role influences strategic decisions across Product, Sales, Marketing, Operations, and People while applying AI tools to improve financial analysis and decision-making.

Design end-to-end experiences for group practices, owning onboarding, supervisory billing, admin tooling, packaging, and practice-level analytics. Partner with Sales, Customer Success, Product, and Engineering to drive growth, scale supervisory billing nationwide, and contribute AI-driven prototyping and design system improvements.

Lead the technical strategy and evolution of Headway’s billing platform, including a financial state-machine orchestration layer, guardrail APIs, remittance ingestion, refunds, recoups, reconciliation, and explainability. Manage platform engineering teams, establish technical standards, coordinate cross-functional dependencies, and partner with Finance and Accounting to ensure accurate, auditable financial records at significant scale.

Lead and grow a data science team focused on provider experience. Define strategy, build roadmaps, run analyses, experiments, and predictive models, surface insights, and partner cross-functionally to drive measurable improvements in provider engagement and product experience.

Lead and grow the Data Safety engineering team to enable safe use of highly sensitive mental-health data. Own de-identification, access controls, entitlements, LLM data handling, and compliance audit evidence. Partner with Security, Legal, Compliance, Data Platform, and product teams to set roadmap, deliver privacy commitments, and enable company-wide safe data practices.

Own the patient product experience end-to-end, prototyping in code with AI tools, partnering with PMs/engineers/researchers. Design for finding providers, benefits, booking, and engagement; run experiments with clear metrics, contribute to the Helix design system, and (at staff level) lead 0→1 work, AI-native workflows, and mentor other designers.

Lead end-to-end design for provider workflows (credentialing, scheduling, documentation, billing). Rapidly prototype in code using AI tools, run experiments with metrics, partner with PMs/engineers/researchers, contribute to the design system, and mentor peers (Staff level includes 0→1 work and org-level influence).