Growth Engineering Lead

Tilt; London; On-site; GBP 100,000 - 150,000; Full time

Job summary

Tilt, the UK's leading live shopping platform, is seeking a Growth Engineering Lead to drive its innovative growth strategy. In this pivotal role, you will build systems powered by data and machine learning to enhance operational efficiency. With a mission to redefine online shopping, this position offers exciting challenges and opportunities for ambitious professionals eager to shape the future of e-commerce.

Benefits

29 days PTO plus UK Bank Holidays

Opportunity to work from abroad for 30 days a year

Gym membership

Free dinner for late workers

Flexible working arrangements

Qualifications

• 3+ years experience in high-growth environments.
• Experience with systems for $500k+ monthly spend.
• Ability to architect feedback loops and automation.

Responsibilities

• Build real-time performance optimization systems.
• Develop attribution pipelines and marketing measurement tools.
• Craft predictive models for CAC, LTV, and spend allocation.

Skills

Problem-solving

Data analysis

Machine learning

Automation

Job description

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This range is provided by Tilt. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Tilt

Tilt

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.

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 ????

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.

What You'll Do

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
  
  

Requirements

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

• 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.

Compensation Range: £100K - £150K

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Marketing and Sales

• Industries

  Technology, Information and Internet

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