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- Tasks: Lead a team in developing data and machine learning solutions that empower users.
- Company: Join Linktree, a vibrant tech community shaping digital experiences globally.
- Benefits: Enjoy a $7,000 AUD wellness budget, flexible work, and 18 weeks parental leave.
- Why this job: Make a real impact while working with innovative technology and a supportive team.
- Qualifications: Experience in engineering management and a passion for data and machine learning.
- Other info: Embrace a culture of inclusion, curiosity, and social impact with excellent career growth.
The predicted salary is between 43200 - 72000 £ per year.
Discover and grow your career at Linktree. At Linktree, we’re empowering everyone with the tools to curate and grow their digital universe.
The team at Linktree is a thriving community spread across Australia, EU, and the US. We spend our days tackling fun technical challenges, building interactive tools, forming partnerships and teasing out unique insights: everything it takes to empower our base of 50M+ Linkers to keep selling, sharing, growing and linking limitlessly.
Staying healthy, inspired and motivated to bring your full self to work is something that we think everyone deserves. Linktree’s industry-leading approach to benefits puts you in the driver’s seat to shape a life where you can flourish (at and away from your laptop).
- Flex Benefit: Every Linktree employee gets $7,000 AUD / $4,900 USD to spend on their wellness, growth, lifestyle, and on social impact.
- Leave for whatever life brings: Our 18-week parental leave policy for birthing and non-birthing parents is designed to help enable everyone at Linktree to support their families and ease the transition back to work.
- Transpositive Inclusion Policy: All of our inclusion policies are built closely in partnership with community members, including gender inclusion training for all Linktree employees.
- Mental health and wellbeing support: We provide access to tailored counseling through Mindfit and subscription to Calm, along with 10 mental health days.
- Flexible and asynchronous workplace: We value collaboration and embrace remote and flexible work, with teams working either fully remote or a flex hybrid approach.
- Our commitment to social impact: We offer 20 hours of volunteering and mentorship leave for every team member and commit 1% of all revenue to support social good causes.
At Linktree, you’re part of an empathetic, vibrant and globally-minded culture where your voice always matters. We foster a culture that appreciates each human in it for exactly who they are.
We operate with values that guide us:
- Defy the ordinary: We’re here to do the best work of our lives.
- Act then adapt: We take big leaps forward through thoughtful risks.
- Own your part: If we see something that needs fixing, we speak up, fix it and follow through.
- Let curiosity lead: We believe in the wide-eyed wonder that drives us to new discoveries.
- Pursue deliberate simplicity: We seek clarity in the complex.
Engineering Manager, Data & Machine Learning in London employer: Linktree
Contact Detail:
Linktree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, Data & Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Linktree. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by researching Linktree's culture and values. Show us how you align with our mission and how you can contribute to our thriving community.
✨Tip Number 3
Practice your storytelling skills. We love hearing about your past experiences and how they shaped you as a professional. Make it engaging and relatable!
✨Tip Number 4
Don’t forget to follow up after your interview! A simple thank you email can leave a lasting impression and show us you're genuinely interested in joining our team.
We think you need these skills to ace Engineering Manager, Data & Machine Learning in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in data and machine learning, and how it aligns with our mission at Linktree. We want to see how you can contribute to our thriving community!
Showcase Your Passion: Let your enthusiasm shine through! Share your ideas on how you can empower our 50M+ Linkers and tackle fun technical challenges. We love seeing candidates who are genuinely excited about what we do at Linktree.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We appreciate candidates who can communicate effectively, as it reflects how you’ll collaborate with our diverse team.
Apply Through Our Website: Don’t forget to submit your application via our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Linktree
✨Know Your Stuff
Before the interview, dive deep into Linktree's mission and values. Understand their approach to data and machine learning, and think about how your experience aligns with their goals. This will show that you're not just interested in the role, but also in contributing to their vision.
✨Showcase Your Leadership Style
As an Engineering Manager, it's crucial to demonstrate your leadership skills. Prepare examples of how you've led teams through challenges, fostered collaboration, and encouraged innovation. Be ready to discuss how you can adapt your style to fit Linktree's flexible and inclusive culture.
✨Ask Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about Linktree's projects, team dynamics, and future goals. This not only shows your genuine interest but also helps you gauge if the company is the right fit for you.
✨Emphasise Your Curiosity
Linktree values curiosity and continuous learning. Share instances where you've pursued new knowledge or adapted to changes in technology. Highlighting your eagerness to learn will resonate well with their culture of growth and innovation.
