Jobs at Linktree

Lead activation strategy across the early user journey to accelerate time-to-value and retention. Define activation milestones, run high-velocity experiments, analyze funnels and cohorts, partner with Data, Design, Engineering, and Marketing, and communicate results to executives to drive onboarding, engagement, and downstream conversion at scale.

The Staff AI Engineer will build, deploy, and maintain AI applications, manage data pipelines, and lead technical designs while mentoring engineers.

Lead the design of commerce experiences and tools for Linktree, focusing on user engagement and management of commerce activities. Collaborate across teams to create intuitive product designs that support marketplace operations.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

Lead activation strategy across the early user journey to accelerate setup, first publish/share, early engagement, retention, and monetization. Define activation milestones, run high-velocity experiments, partner with Data/Engineering/Design to instrument funnels, and translate behavioral and qualitative insights into prioritized product bets. Communicate results and strategy to executives and raise experimentation and funnel-thinking standards across the product organization.

Design user experiences for Linktree's products, collaborating with teams to enhance quality and effectiveness in user-centered design.

Lead and elevate native iOS and Android design across Linktree: define mobile patterns, set craft standards, run cross-pillar reviews, prototype to production fidelity, partner with Design Systems and Engineering, and mentor designers to keep the app coherent and high-quality.

Lead the design of AI Systems at Linktree, creating workflows for managing multiple profiles and collaborating across teams. Partner with cross-functional teams to drive product vision and usability in digital tools.

The role involves providing legal advice on product development and privacy issues, developing policies, and ensuring compliance with US and European privacy laws.

The VP of Finance & Corporate Development oversees financial strategy and operations, manages a finance team, and partners with executives on corporate growth and investment opportunities.

This role involves leading creative strategy for paid social acquisition by analyzing performance data, developing creative briefs, managing agencies, and optimizing ad performance across multiple platforms.

As a Staff Product Designer, you'll drive product-led growth by designing user journeys, shaping strategies, leading projects, and mentoring other designers while collaborating with cross-functional teams.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

The Engineering Director will lead product engineering teams, ensuring high-quality product delivery, shaping technical direction, and developing team leadership while partnering with Product and Design for strategic execution.

The Product Marketing Manager will shape the external positioning of Linktree's paid products, collaborate with growth and product teams, and create compelling narratives for monetization strategies and upsells.

Design and maintain StratFin data models, automate reporting and data workflows, build reliable pipelines with testing and monitoring, partner with Finance and Strategy to deliver scalable data products, and establish data quality standards to enable analytics and AI.

Own strategy and roadmap for Linktree's native iOS and Android apps. Define mobile metrics, run experiments, translate user research and data into a prioritized roadmap, and partner with design, engineering, data, and stakeholders to ship mobile-native features that grow business contribution.

Lead marketing analytics for acquisition, activation, and retention. Build dashboards, data models, and pipelines; design attribution and incrementality measurement; run experiments (A/B, multivariate); partner with marketing and data engineering to deliver insights and embed data-driven decision-making.