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- Tasks: Lead the Growth Engineering team to optimise marketing systems using data and machine learning.
- Company: Tilt is revolutionising e-commerce, making shopping human and communal again.
- Benefits: Enjoy 29 days PTO, hybrid work, gym membership, and free meals in the office.
- Why this job: Join a dynamic team shaping the future of shopping with innovative technology and a collaborative culture.
- Qualifications: 3+ years in high-growth environments, experience with advanced attribution and managing technical teams.
- Other info: We value diverse backgrounds and encourage all to apply, even if you don't meet every requirement.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
We’re building the next century of shopping—making it feel human, communal, and alive again. E-commerce has spent decades optimizing for clicks, stripping away the trust, joy, and connection that once made shopping meaningful.
We’ve recently raised an $18M Series A from the world’s best investors to build the next era of commerce. Now, we’re hiring elite builders to make it happen.
About the Role
You will own the Growth Engineering team, whose mission is to engineer the systems behind Tilt’s astronomical growth—using data, machine learning, and automation to make every decision faster, smarter, and more scalable.
In this role, you will:
0–6 Months
Building the foundations:
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Real-time performance optimization systems
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Attribution pipelines and marketing measurement tools
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Predictive models for CAC, LTV, and spend allocation
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Scalable data infrastructure to support faster growth decisions
6+ Months
Going beyond even the most advanced ad systems. You’ll help us:
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Leverage AI to analyze creatives, surface winning patterns and generate content
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Integrate causal inference, real-time feedback loops, and ML pipelines
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Productize our growth stack for sellers
Location:
This is a hybrid role, and we ask that you work from our Canary Wharf office 3 days per week.
Who You Are
You must be an ambitious, curious, and ego-free problem-solver who is excited to build the future of shopping.
We’re looking for:
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Previous experience in a high-growth start-up or scale-up
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3+ years building systems with advanced attribution, MMM or real-time optimization
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Built infrastructure that supports $500k+ monthly spend
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Beyond dashboards, able to architect feedback loops and automation with data and ML
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Experience hiring, managing, and scaling a technical team
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Can write the roadmap and ship the v1 yourself if needed
This is a hands-on role; you should be able to write the roadmap and ship the v1 yourself if required.
Bonus points for:
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Familiarity with growth analytics tools (Amplitude, Mixpanel, DBT)
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Prior experience in e‑commerce, marketplaces, or live video environments
Perks & Benefits
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29 days PTO in addition to UK Bank Holidays
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Opportunity to work from abroad for up to 30 consecutive days a year
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Canary Wharf office
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Gym membership
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MacBook and office budget
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Matched pension contributions
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3 days a week in the office inc Monday and Thursday
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Free dinner for late workers, free lunch on Tuesdays
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Truly flexible working
We welcome applicants from all backgrounds and experiences, and we’re committed to fostering an inclusive, diverse workplace.
If you don’t meet every single requirement in the job description, please don’t be put off from applying. We value potential and a willingness to learn over ticking every box — your unique perspective could be exactly what we’re looking for.
Let us know if you need any adjustments during the application process — we’re happy to help.
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Marketing Analytics Lead employer: Tilt
Contact Detail:
Tilt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Lead
✨Tip Number 1
Familiarise yourself with the latest trends in marketing analytics and e-commerce. Understanding the current landscape will help you speak confidently about how your skills can contribute to Tilt's mission of revolutionising shopping.
✨Tip Number 2
Network with professionals in the marketing analytics field, especially those who have experience in high-growth start-ups. Engaging with industry peers can provide insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 3
Prepare to discuss specific examples of how you've built systems for real-time optimisation and attribution in previous roles. Being able to articulate your hands-on experience will demonstrate your capability to take on this role effectively.
✨Tip Number 4
Showcase your familiarity with growth analytics tools like Amplitude or Mixpanel during any discussions. Highlighting your technical skills in these areas will set you apart as a candidate who can hit the ground running.
We think you need these skills to ace Marketing Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in high-growth start-ups or scale-ups. Emphasise your skills in building systems with advanced attribution and real-time optimisation, as these are key for the Marketing Analytics Lead role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for e-commerce and how you can contribute to Tilt's mission. Mention specific examples of your previous work that align with their goals, such as experience with data-driven decision-making and machine learning.
Showcase Your Technical Skills: Highlight your familiarity with growth analytics tools like Amplitude, Mixpanel, or DBT. If you have experience in architecting feedback loops and automation, make sure to include that as well, as it will set you apart from other candidates.
Demonstrate Cultural Fit: Tilt values ambition, curiosity, and a collaborative spirit. In your application, convey your problem-solving mindset and willingness to learn. Share any experiences that showcase your ability to work in diverse teams and adapt to new challenges.
How to prepare for a job interview at Tilt
✨Showcase Your Analytical Skills
As a Marketing Analytics Lead, you'll need to demonstrate your ability to analyse data effectively. Prepare examples of how you've used data to drive decisions in previous roles, especially in high-growth environments.
✨Familiarise Yourself with Relevant Tools
Make sure you know your way around growth analytics tools like Amplitude, Mixpanel, and DBT. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Prepare for Technical Questions
Expect questions about building systems for real-time optimisation and attribution. Brush up on your knowledge of machine learning and automation, as well as any relevant projects you've worked on that align with these areas.
✨Demonstrate Leadership Experience
Since this role involves managing a technical team, be prepared to discuss your leadership style and experiences. Share specific examples of how you've successfully hired, managed, and scaled teams in the past.
