70K–110K EUR / year
Lead Growth Engineer
Engineering managerRemote — unknown
Published on 2026-10-05
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Lead the engineering function focused on growth across Sword’s direct-to-consumer products. Build experimentation infrastructure and improve acquisition, activation, conversion, and retention through measurable product experiences. The role combines technical leadership, cross-functional partnership, and AI-enabled engineering workflows.
About the company
Sword Health is a digital musculoskeletal care company that helps employers and health plans deliver AI-powered physical therapy and related care programs.
Stack
TypeScriptGoAWSGCP
What you'll do
- Build, mentor, and set technical standards for a growth engineering team.
- Architect experimentation infrastructure, including feature flags, cohort targeting, personalization, and multi-armed bandits.
- Improve full-funnel web and mobile experiences, from acquisition and onboarding through conversion and retention.
- Develop reliable event instrumentation and data pipelines for attribution and experimentation.
- Partner with Product, Design, Marketing, and Data Science to prioritize growth roadmaps.
- Maintain performance, data consistency, and resilience across growth systems and checkout flows.
- Integrate AI tools into engineering workflows while maintaining security and code quality.
What we're looking for
- Experience building and operating production services at scale, with strong TypeScript and modern web or mobile architecture skills.
- Leadership experience hiring, managing, or guiding growth engineering teams.
- Expertise in experimentation platforms, feature flags, event telemetry, and funnel analytics.
- Fluency in growth metrics including CAC, LTV, activation, conversion, and retention.
- Strong foundations in API design, relational databases, data modeling, asynchronous processing, and automated testing.
- Ability to translate commercial goals into durable, pragmatic technical solutions.
- Excellent cross-functional communication and leadership skills.
- Builder (Level 2) or Integrator (Level 3) AI proficiency and practical experience embedding AI into team workflows.
Nice to have
- Experience with consumer subscriptions, payment integrations, or entitlement architectures.
- Familiarity with ML-driven personalization, recommendation systems, or lifecycle messaging platforms.
- Experience with Go, AWS or GCP, and event-driven architectures.