Lead Engineer, Member Growth

Accountabilities

• Lead, coach, and develop a team of engineers across Analytics and Member Growth, balancing technical leadership with hands-on software development.
• Contribute directly to engineering delivery through architecture decisions, design reviews, pull request reviews, and regular code contributions.
• Define and own the technical strategy and architecture for the analytics ecosystem, including interactive data visualisations, ClickHouse infrastructure, and AI-powered analytics experiences.
• Build and improve natural-language data experiences that enable digital business owners to explore their performance and ask questions about their business using AI.
• Own the Member Growth roadmap, focusing on onboarding journeys, activation, and reducing friction that prevents new members from engaging with communities.
• Partner with product, design, data, and leadership teams to translate complex or ambiguous challenges into a clear, data-informed roadmap with measurable outcomes.
• Promote AI-first engineering practices by using AI agents for planning, coding, code review, and issue triage while critically evaluating their outputs.
• Develop shared tools and practices that improve engineering productivity and help the wider team work more effectively.
• Design and oversee A/B tests and experimentation initiatives to validate improvements in activation, retention, and community health.
• Recruit, mentor, and develop engineering talent, supporting performance management and career progression within the team.
• Establish clear priorities, maintain high technical standards, and help engineers deliver meaningful product and business impact.

Requirements

• At least 7 years of experience building and shipping production software for complex web applications.
• Previous experience leading or managing engineering teams, including setting technical direction, overseeing major initiatives, reviewing work, and developing other engineers.
• Strong hands-on software engineering capabilities, with experience in Ruby on Rails, MySQL or PostgreSQL, ReactJS, and TypeScript.
• A strong product mindset and the ability to understand customer needs, challenge requirements constructively, and make independent decisions aligned with SaaS best practices.
• Proven expertise in at least one of the following areas:
  • Data and analytics infrastructure, such as ClickHouse, data warehousing, or business intelligence.
  • Growth and lifecycle product engineering, including onboarding, activation, and retention.
• Exposure to both analytics infrastructure and growth engineering is a strong advantage.
• Experience working closely with cross-functional stakeholders across engineering, product, design, and go-to-market teams.
• Ability to navigate ambiguous, fast-moving environments and translate insights into clear priorities and actionable technical plans.
• Strong written and verbal communication skills in English, at CEFR C2 level or equivalent, particularly for effective asynchronous collaboration.
• Alignment with a high-ownership, collaborative, and quality-focused engineering culture.

Nice to have

• Experience delivering LLM-powered product features, including natural-language data queries or AI agents.
• Familiarity with billing platforms, payment systems, or Stripe infrastructure.
• Previous experience in a growth-focused or product-led growth (PLG) engineering organisation.