
Lead Growth Engineer
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Portugal.
β’ Lead, build, and mentor a high-performing team focused on growth engineering.
β’ Establish standards for execution speed, testing thoroughness, and code quality.
β’ Design, scale, and maintain experimentation infrastructure, which includes feature flagging, cohort targeting, dynamic personalization, and multi-armed bandit systems.
β’ Drive initiatives that span the entire funnel across web and mobile platforms to enhance member acquisition, onboarding completion, subscription conversions, and retention loops.
β’ Collaborate with Data Science to implement event instrumentation and data pipelines for precise attribution, funnel telemetry, and statistically valid experiment outcomes.
β’ Work alongside Product, Design, and Marketing leadership to convert business goals into technical roadmaps and experimentation cycles.
β’ Advocate for data-driven decision-making, rapid iteration, and practical trade-offs between speed to market and long-term architectural needs.
β’ Guarantee system performance, data consistency, and recovery from failures across essential growth touchpoints and checkout processes.
β’ Lead the integration of AI tools within engineering workflows, ensuring security, accuracy, and maintainability.
β’ Demonstrated experience in building and managing production services at scale, with extensive technical knowledge in TypeScript and contemporary web/mobile architectures.
β’ Previous leadership experience in hiring, managing, or technically guiding growth engineering teams in dynamic product environments.
β’ Proficiency in experimentation engines, feature flag management, event telemetry, and comprehensive funnel analytics.
β’ Strong business insight and understanding of key metrics such as CAC, LTV, activation velocity, conversion rates, and cohort retention.
β’ Robust foundations in API design, relational databases, data modeling, asynchronous processing, and automated testing.
β’ Capability to convert commercial objectives into practical technical solutions while maintaining a balance between speed and system reliability.
β’ Outstanding communication and cross-functional leadership abilities involving executive, technical, and non-technical stakeholders.
β’ Proven proficiency as a Builder (Level 2) or Integrator (Level 3) in AI, with hands-on experience integrating AI tools into team workflows.
β’ Proficient in English, both written and spoken.
β’ Nice to have: experience with consumer subscription models, payment integrations, or scaling entitlement architectures.
β’ Nice to have: familiarity with ML-driven personalization, recommendation systems, or automated lifecycle messaging platforms.
β’ Nice to have: experience with Go, cloud infrastructure (AWS/GCP), and event-driven architectures.
β’ Opportunity to work in a dynamic and innovative environment.
β’ Competitive salary and performance-based incentives.
β’ Comprehensive health and wellness benefits.
β’ Professional development opportunities and support for continued learning.
β’ Flexible working conditions promoting a healthy work-life balance.
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