Lead Engineer, Member Growth

Jobgether

Schweiz

Remote

CHF 120,000 - 146,000

Full time

24 hours ago
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Benefits offered by this job

Fully remote working arrangement
Full-time employment
Annual cash compensation USD 162,000
Equity participation
35 days of paid time off
Remote-first environment

Job summary

Jobgether is seeking a Lead Engineer, Member Growth based in Switzerland to shape analytics and member growth for a global, AI-powered SaaS platform. In this hands-on leadership role, you will guide a small team of experienced engineers while remaining deeply involved in architecture, code reviews, and product development.

You will own the technical direction of analytics capabilities, including interactive data visualisations, data infrastructure, and AI-powered insights, while driving the

Qualifications

  • At least 7 years of experience building and shipping production software for complex web applications.
  • Proven experience leading or managing engineering teams and setting technical direction.
  • Hands-on software engineering capabilities with Ruby on Rails, MySQL/PostgreSQL, ReactJS, and TypeScript.
  • Strong product mindset and ability to translate customer needs into SaaS best practices.
  • Experience in data analytics infrastructure or growth/product engineering.
  • Experience working with cross-functional teams (engineering, product, design, GTM).
  • Excellent written and verbal English communication (CEFR C2).
  • Alignment with high-ownership, collaborative, quality-focused culture.

Responsibilities

  • Lead, coach, and develop a team of engineers across Analytics and Member Growth.
  • Contribute to engineering delivery through architecture decisions, design reviews, and code contributions.
  • Define and own the technical strategy and architecture for the analytics ecosystem, including ClickHouse and AI-powered analytics.
  • Develop AI-powered data experiences and natural-language data queries.
  • Own the Member Growth roadmap, focusing on onboarding, activation, and reducing friction.
  • Translate complex challenges into a clear, data-informed roadmap with measurable outcomes.
  • Promote AI-first engineering practices and evaluate outputs critically.
  • Improve engineering productivity with shared tools and practices.
  • Oversee A/B tests and experimentation for activation and retention.
  • Recruit and mentor engineering talent; support performance and career progression.

Skills

Ruby on Rails
MySQL
PostgreSQL
ReactJS
TypeScript
Team leadership
Architecture design
Data analytics
Growth engineering
English communication
Cross-functional collaboration

Tools

ClickHouse
Data visualization tools

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Engineer, Member Growth based in Switzerland.

We are looking for an experienced engineering leader to shape the future of analytics and member growth within a global, AI-powered SaaS platform. In this hands-on leadership role, you will guide a small team of experienced engineers while remaining deeply involved in architecture, code reviews, and product development. You will own the technical direction of analytics capabilities, including interactive data visualisations, data infrastructure, and AI-powered insights, while driving the roadmap for member onboarding, activation, and engagement. Working closely with product, design, data, and go-to-market teams, you will turn complex challenges into measurable product improvements. You will also champion AI-first engineering practices and experimentation to help teams deliver better outcomes faster. This is an opportunity to influence products used by millions of people while combining technical excellence, product thinking, and people leadership.

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.

Benefits:
  • Fully remote working arrangement, with opportunities available across multiple international regions.

  • Full‑time employment.

  • Annual cash compensation of USD 162,000, paid semi‑monthly, based on a US‑benchmarked compensation structure regardless of location.

  • Equity participation, with ongoing opportunities for additional equity refresh grants.

  • 35 days of paid time off each year.

  • Remote‑first working environment offering flexibility and autonomy.

  • Company‑wide retreats held twice a year in international destinations.

  • Benefits designed to support health, wellbeing, and professional development.

  • Opportunity to work with a distributed international team and build products used by a global audience.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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