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Engineering Manager, Data & Machine Learning

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years experience in engineering management, Bachelor’s Degree in relevant field.

Key responsabilities:

  • Deliver ML and AI technologies
  • Design scalable systems for internal teams
  • Steer ML and data-science strategies
  • Manage team performance and expectations
  • Drive collaboration, feedback, and continuous improvement
Linktree logo
Linktree Information Technology & Services Scaleup https://linktr.ee/

Job description

The Role

As Engineering Manager for Linktree’s Data and Machine Learning team, you’ll be responsible for delivering new ML- and AI-powered experiences throughout our core product. These new experiences will unlock impactful new opportunities for our tens of millions of users and our billions of visitors around the world. Most of all, they’ll help Linktree achieve our mission: To empower anyone to curate and grow their digital universe.

You’ll manage a talented team of ML engineers, backend engineers and data engineers, fostering cross-discipline collaborations to drive impressive results. You’ll work across a broad range of ML and AI technologies, including natural language processing, computer vision and recommender systems.

You’ll help the team set ambitious goals, hold them accountable for delivery, and distil powerful insights that impact our future strategy. In summary, you’ll challenge, mentor, support and enable your team to do the best work of their careers.

Please note: This role requires that you work in London, with 3 days per week from our office and 2 days per week from home.

What You’ll Own
  • You’ll be responsible for the delivery and real-world application of a broad range of ML and AI technologies

  • You’ll work with our senior engineers to design performant, scalable systems that empower our internal teams to self-serve these capabilities in their own work

  • You’ll help steer our overall ML and data-science strategies, in close collaboration with other leaders from across the company

  • You’ll cultivate clarity for the team by setting clear expectations, managing delivery and developing performance

  • You’ll create a culture of deep collaboration, honest feedback and continuous improvement

  • You’ll manage a portfolio of experiments, testing a wide range of ideas and doubling down on those that work best

  • You’ll evangelise best practices for data and ML, and drive adoption across the company

Who We’re Looking For
  • You have at least 4 years of relevant experience as an engineering manager in a high-growth technology company

  • You have hands-on experience of delivering complex, technical projects in this space

  • You have at least a Bachelor’s Degree in mathematics, statistics, physics, computer science, or a related discipline (a Master’s Degree or PhD is a bonus)

  • You can hold engineers accountable to shipping software AND to driving business impact

  • You thrive in an fast-paced, agile product development environment

  • You have experience using “build-measure-learn” cycles to ship quickly, iterate and derive powerful insights

P.S. If you don’t tick every box in this ad, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!

Where and How We Work

We are a global and diverse group offering a truly flexible and family friendly work environment. Kids, pets, and the occasional delivery person are all actively encouraged to appear on our Zoom screens. All of us at Linktree work either fully remote or a flex hybrid approach.

We offer autonomy and flexibility in how you structure your days and weeks. There will be the need for some collaboration outside of your usual 9-5 being a global company, but we aim to work asynchronously where possible.

How we’ll help you thrive

Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together. Some ways we support you:

  • 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 as we go further together.

To learn more about our benefits, including our parental leave program, volunteering leave, DE&I initiatives, and more, click here!

Our Story

We're on a mission to empower anyone to curate, grow and monetize their digital universe. We created the "link in bio" category and are trusted by some of the world's biggest brands and celebrities including TikTok, The UN Environmental Program, The White House, F1, Manchester United, Olivia Rodrigo and Selena Gomez. With over 50M+ users and 40,000 new accounts created everyday, Linktree is the fastest growing leader in our category. Linktree has partnered with some of today’s biggest names like Amazon, TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit and more to help unify users’ digital spaces—  and we’re just getting started. Join us in empowering everyone from businesses to creatives in building their online presence.

At Linktree, we celebrate and support everyone’s perspective and background, and we’re proud to be an equal opportunity workplace. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging, because we believe in going further together. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee – your needs are important to us.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Accountability
  • Adaptability
  • Innovation
  • Mentorship
  • Leadership

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