Growth Engineering Lead
London
Tilt
Discover emerging fashion, unlock rare collectibles, and shop through videos + live streams with friends.Weâre building the next century of shoppingâmaking 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.
Today, we are the UK's biggest live shopping platform, and we've got our sights set on the world. We raised an $18m Series A, which we're using to rapidly grow and hire A-players to join our mission.
Your Mission đ«”You will own the Growth Engineering team, whose mission is to engineer the systems behind Tiltâs astronomical growthâusing data, machine learning, and automation to make every decision faster, smarter, and more scalable.
What You'll Do đ·0â6 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. Youâll 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
You must be an ambitious, curious, relentless and ego-free problem-solver excited to build the future of shopping. Additionally:
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.
Perks & Benefits â29 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 weâre committed to fostering an inclusive, diverse workplace.
If you donât meet every single requirement in the job description, please donât be put off from applying. We value potential and a willingness to learn over ticking every box â your unique perspective could be exactly what weâre looking for.
Let us know if you need any adjustments during the application process â weâre happy to help.
#LI-DF1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Causal inference E-commerce Engineering Machine Learning Pipelines
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation
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