About this role
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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? 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. #LI-CL1
- LOCATION
- Remote · US, United States
- WORK MODE
- Remote
- JOB TYPE
- Full-time
- POSTED
- Nov 9, 2026
Source: Jobgether Careers