Head of Data
About the role
We are seeking a dynamic, hands-on Head of Data who will lead our data organization from vision and through delivery and operations. This person works closely with Product, Engineering, Design, the Leadership Team, and other stakeholders, and will both set strategy and roll up their sleeves when needed to drive a fast moving, dynamic product and growing Data organization in the AI era.
Responsibilities
- 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.
- 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.
- 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.
- 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 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 organizational 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.
Success Criteria
- Linktree has a unique value proposition in the market due to data and AI-driven capabilities.
- 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.
Qualifications
- Experience scaling teams across multiple geographies.
- Prior experience in SaaS / Consumer tech.
Benefits
Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $320,000-$340,000 for roles based in San Francisco and Los Angeles. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed.