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.
- 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
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.
What We Do
Linktree is the market-leading linking platform that was the first of its kind, creating an entirely new category in tech. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. It's not only high profile users that turn to Linktree - it's the every day creators, the small businesses, the charities, the side hustlers and the business professionals too. On Linktree, we've seen teachers housing their lessons plans for home-schooling, realtors using it to share their property listings, activists using it to amplify cause and restaurants to house their menu. We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love. There is a place for everyone on Linktree.
Why Work With Us
We’re building a category-defining product, which means we get to write the rules as we go. With tens of millions of Linkers and billions of visitors each month, there’s no shortage of interesting challenges to tackle. If you’re excited by scale, love building alongside passionate people and want your work to reach millions, come create with us.
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