Head of Data

The Role

What you'll Do

• Define and drive the company-wide data strategy end-to-end, from how raw data is collected until it’s used in user-facing AI features or for internal decision making.
• Ensure teams at Linktree have the capabilities to make sound data-driven decisions and build the platforms and frameworks to hold teams accountable to high standards in decision making.
• Advance Linktree’s transformation into an insights- and AI-powered product with a clear, differentiated value proposition for our users.
• Make critical architecture and systems design decisions, ensure that systems are scalable, maintainable, secure, and performant.
• Stay current with technology trends/innovations and evaluate/adopt where beneficial, particularly in rapidly evolving areas like modern AI.

• Contribute to major technical components, critical feature-launches, etc. and occasionally contribute to code or insights deep dives.
• Being involved in solution design for high-complexity or high-risk data or AI investments to maintain technical quality and help unblock teams.
• Lead or participate in technical deep-dives, especially for cross-team initiatives or for when the design has broad implications.

• Collaborate with Engineering, Product, and Design to deeply integrate the right data capabilities into teams, ensuring data and AI are core to how we build.
• Ensure our data & AI platforms empower the user-facing teams to build valuable product functionality at a high velocity while maintaining effectiveness and correctness.
• Represent Data to the executive team, surface key insights, communicate technical tradeoffs, risks, and timelines in terms non-tech stakeholders understand.
• Collaborate on budget, resource allocation, technology investment decisions.
• Evangelize data science and AI practices both internally and externally through thought leadership like conference speaking.

• Build, grow, and mentor senior leaders, both as managers and ICs. Ensure strong leadership across your team.
• Recruit and retain top data talent, help define hiring strategy, interviewing, and onboarding.
• Ensure our teams leverage data to its full potential to make sound data-driven decisions and foster a culture of learning, decision quality, ownership, psychological safety, and accountability.
• Lead adoption of AI-driven tools to drive productivity and ensure we’re on the forefront of modern engineering and product building workflows.

• Establish best practices across the entire data lifecycle (instrumentation, data engineering, insights, experimentation, ML and AI validation) and the frameworks to hold teams accountable to these practices.
• Maintain effectiveness and reliability of AI and user-facing insights solutions by establishing monitoring, alerting and remediation processes.
• Continuously partner with Product and Engineering to evaluate and evolve the cross-functional product org structure to match the company’s growth, ensuring clarity of ownership, effective collaboration, and decision-making velocity.

What Success Looks Like

• Decision making throughout the organization is based on sound insights.
• Team attrition is healthy, team members are growing in their roles and the management pipeline is strong.
• Stakeholders (Product, Customers, Execs) trust data and insights.
• The data function is a key partner in business decision making, not just a delivery engine.
• You’ll work directly with the CEO, who is product-led and values data as a thought partner, not just a delivery function.

What You'll Bring

• 12+ years in data-related fields, such as data science, data engineering, ML engineering with at least 5+ years leading managers or directors in growing, fast-paced environments.
• Track record of designing and launching large scale user-facing data or AI driven product capabilities with measurable impact.
• Track record of transforming organisational culture to become data driven, including self-service insights and experimentation.
• Deep technical expertise in data science, ML, AI as well as relevant engineering aspects such as data and AI platforms.
• Proven track record of direct contributions at technical level, even as leader.
• Excellent leadership, mentoring, and people-management skills; ability to recruit and retain strong talent.
• Strong collaboration, communication, ability to simplify & explain technical issues to executives and cross-functional teams.
• Preferred / Nice-to-Haves
  • Experience scaling teams across multiple geographies
  • Prior experience in Saas / Consumer tech

Our Story

Where and How We Work

How we’ll help you thrive

• An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
• 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
• Employer contribution towards your retirement.
• Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
• Employee stock option program - we want each and every employee to share in the company’s success.