Marketing Analytics Lead
London
Tilt
Discover emerging fashion, unlock rare collectibles, and shop through videos + live streams with friends.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 RoleYou 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:
Real-time performance optimization systems
Attribution pipelines and marketing measurement tools
Predictive models for CAC, LTV, and spend allocation
Scalable data infrastructure to support faster growth decisions
6+ Months
Going beyond even the most advanced ad systems. You’ll help us:
Leverage AI to analyze creatives, surface winning patterns and generate content
Integrate causal inference, real-time feedback loops, and ML pipelines
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 AreYou must be an ambitious, curious, and ego-free problem-solver who is excited to build the future of shopping.
We’re looking for:
Previous experience in a high-growth start-up or scale-up
3+ years building systems with advanced attribution, MMM or real-time optimization
Built infrastructure that supports $500k+ monthly spend
Beyond dashboards, able to architect feedback loops and automation with data and ML
Experience hiring, managing, and scaling a technical team
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:
Familiarity with growth analytics tools (Amplitude, Mixpanel, DBT)
Prior experience in e‑commerce, marketplaces, or live video environments
29 days PTO in addition to UK Bank Holidays
Opportunity to work from abroad for up to 30 consecutive days a year
Canary Wharf office
Gym membership
MacBook and office budget
Matched pension contributions
3 days a week in the office inc Monday and Thursday
Free dinner for late workers, free lunch on Tuesdays
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.
#LI-DF1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Amplitude Causal inference dbt E-commerce Engineering Machine Learning Pipelines
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation
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