Senior Software Engineer, Growth (Activation)

Linktree is a platform that helps creators, businesses, and brands curate, grow, and monetize their digital presence. The Senior Software Engineer will join the Growth team to build and iterate on experiments, product surfaces, and systems that improve user activation, engagement, retention, and monetization. The role partners with product, design, and data teams to identify opportunities, analyze results, and deliver scalable growth solutions.

Responsibilities:

• Build and ship experiments that improve activation, engagement, and retention for new and existing users, from initial hypothesis through measurement and iteration
• Partner with product, design, and data science to identify high-leverage growth opportunities across the funnel and translate them into a prioritized technical roadmap
• Work across the growth stack these experiences run on, including onboarding flows, in-product promotions, and re-engagement campaigns
• Design, build, and integrate the systems, services, and APIs behind this work, including internal and third-party integrations and the cloud infrastructure they run on
• Instrument and analyze product usage data to surface insights that inform both your own work and the broader team’s strategy
• Bring AI into how you build and, where it helps, into the product experience itself
• Improve the reliability, scalability, and observability of the systems that power growth experiments
• Mentor peers on experimentation best practices and contribute to a strong engineering culture on the team

Requirements:

• 5+ years of professional software engineering experience, ideally including time spent on growth, activation, or lifecycle-focused teams
• Strong product sense and experience running or contributing to A/B tests and product experiments, with comfort interpreting data to make decisions
• Experience designing and integrating services and APIs, including internal and third-party integrations, within cloud-based, service-oriented architectures
• Comfortable with data: SQL, data modeling, and working with data warehouses (e.g., Snowflake, BigQuery) to inform decisions
• Fluency with AI-assisted development (e.g., Claude, Cursor, Codex, Devin), including how to prompt, iterate, validate, and refine what these tools produce, plus interest in applying AI within the product experience
• Excellent collaborator who communicates clearly with product, design, and data partners and can influence direction through evidence and technical judgment
• Solid full-stack engineering skills across our core stack (TypeScript, Node.js, React, PostgreSQL or MySQL, GraphQL, AWS), with the ability to move quickly across the systems needed to ship and measure an experiment end-to-end
• Full-stack is preferred; we are also glad to talk to strong front-end-leaning engineers who want to grow across the stack