Unbox is building the toolkit to power the social commerce revolution. We’re helping merchants and creators supercharge their growth on platforms like TikTok Shop and YouTube Shopping, leveraging the power of shoppable content to drive sales with a new generation of consumers. Our solutions will help merchants and creators across the social commerce lifecycle, leveraging machine learning, automation and continuous optimisation to unlock sustainable, profitable growth in a market forecast to reach $6tn by 2030.

Founded by two former TikTok execs, we’ve taken on investment from some fantastic backers with experience spanning tech, ecommerce, media, social and AI. Since launching, we’ve established design partnerships with top tier global merchants as we build our initial solution set, and are looking for a talented, motivated Lead Product Engineer to join our growing team.

About the role

Unbox is looking for a Lead Product Engineer with a proven track record of productising complex solutions through automation, front-end development, and data visualisation. You’ll provide strategic and operational leadership to our engineering initiatives as we embark on our mission to become the definitive social commerce enabler. Reporting to the co-founders, you work closely with a team of data scientists and machine learning engineers to build a first-of-its-kind toolkit for social commerce. As one of the first team members to join Unbox, you’ll work closely with the co-founders to shape our strategy, whilst helping to lay the foundation of our product culture.

What you’ll be doing

• Work closely with the co-founders to transform our initial solution into a scalable, user-friendly product that drives unique value for merchants in social commerce

• Lead the charge on building our first client-facing product, enabling merchants to access social commerce insights seamlessly

• Learn first-hand from our partners about the messy, complex challenges they face and support us in building new solutions that solve their problems

• Collaborate with our small, mission-driven team of Machine Learning engineers and data scientists to bring structure and repeatability to our early product experiments

• With the team develop and maintain data systems and pipelines that reliably deliver actionable performance insights, leveraging tools like Amazon Rekognition and OpenAI
  

What we’re looking for

• An entrepreneurial mindset with 5+ years of hands-on experience in software or product engineering, ideally at a fast-moving tech company

• Experience building and scaling early-stage products, particularly in turning prototypes into production-ready systems

• Strong technical skills in modern front-end frameworks (React, or similar) and back-end development in Python

• Recognise that we’re optimising for learning at this stage and leverage the right tools, libraries and frameworks (whilst bearing in mind future needs)

• Familiarity with AWS and how to build scalable applications

• Understanding of data science concepts, pipelines, and feature engineering

• Strong problem-solver with a bias toward action and the ability to thrive amidst uncertainty

• Great communicator who’s excited about building first-of-their-kind solutions and working directly with non-technical stakeholders

What we offer

• Equity: A meaningful equity stake in a high-growth startup with incredible backers

• Impact: An opportunity to have huge impact in shaping the product, engineering culture & company vision

• Autonomy: Be part of a small, agile team shaping a new product and driving the company forward

• Growth: Plenty of opportunity for career progression & skills development in a fast-moving environment