
Lead Growth Engineer
Posted Oct 29

Posted Oct 29
This is a fully remote position, open to applicants in Portugal.
β’ Build, lead, and mentor an exceptional growth engineering team.
β’ Establish benchmarks for execution speed, testing rigor, and code quality.
β’ Design, scale, and manage experimentation infrastructure, including feature flagging, cohort targeting, dynamic personalization, and multi-armed bandit systems.
β’ Propel full-funnel engineering initiatives on 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 accurate attribution, funnel telemetry, and statistically valid experiment outcomes.
β’ Work closely with Product, Design, and Marketing leadership to convert business objectives into technical roadmaps and experimentation cycles.
β’ Advocate for data-driven decision-making, rapid iteration, and sensible trade-offs between speed-to-market and long-term architecture.
β’ Guarantee system performance, data consistency, and failure recovery across essential growth touchpoints and checkout processes.
β’ Lead the integration of AI tools within engineering workflows while ensuring security, accuracy, and maintainability.
β’ Proven track record in building and operating production services at scale, with extensive technical knowledge in TypeScript and modern web/mobile architectures.
β’ Previous leadership experience in hiring, managing, or providing technical guidance to growth engineering teams within high-growth product settings.
β’ Expertise in experimentation engines, feature flag management, event telemetry, and comprehensive funnel analytics.
β’ Strong business insight and fluency in metrics such as CAC, LTV, activation velocity, conversion rates, and cohort retention.
β’ Solid grounding in API design, relational databases, data modeling, asynchronous processing, and automated testing.
β’ Ability to convert commercial objectives into practical technical solutions while balancing speed and system reliability.
β’ Outstanding communication and cross-functional leadership abilities with both executive and non-technical stakeholders.
β’ Demonstrated proficiency in Builder (Level 2) or Integrator (Level 3) AI, with hands-on experience incorporating AI tools into team workflows.
β’ Fluent in English, both written and spoken.
β’ Nice to have: experience with consumer subscription models, payment integrations, or entitlement architectures at scale.
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’ Competitive salary and performance-based bonuses.
β’ Flexible working hours and remote work options.
β’ Opportunities for professional development and continuous learning.
β’ Collaborative and innovative team culture.
β’ Health, wellness, and retirement benefits.
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