About the role

We’re looking for a Founding Full-Stack Engineer who’s excited to own both the frontend craft and the end-to-end delivery of product features — from interface to infrastructure. You’ll be the technical partner to our designer and ML team, responsible for turning complex AI outputs into beautifully built, high-performance tools for enterprise brands.

This role is ideal for an engineer who loves building polished UIs and is comfortable working across the stack — integrating with ML APIs, shaping backend architecture, and deploying features into production. You’ll help us move fast, learn from early customers, and scale a first-of-its-kind platform for social commerce.

What you’ll be doing

• Architect, build and maintain full-stack features across our customer platform, from data APIs to dashboards

• Translate ML model outputs into intuitive, interactive product features in collaboration with our designer and ML team

• Lead frontend engineering (React/TypeScript) and own key decisions on component design, state management, and user experience

• Design backend services and APIs (Python/Node preferred) to serve frontend and customer-facing tools

• Implement performant data visualisation (e.g., scoring dashboards, filters, creator selectors)

• Work closely with our Head of Engineering on infrastructure and delivery pipeline

Impact and Success Metrics

• Drive key performance metrics

• Establish technical standards and best practices

• Successfully launch and iterate on our core product features

• Contribute to architecture decisions that allow us to scale efficiently

Key Requirements

Full-stack engineering

• Strong experience building end-to-end web applications in production

• Fluent in React/TypeScript (frontend)

• Comfortable with Python, Node, or similar (backend)

• Experience designing and consuming RESTful or GraphQL APIs

• Familiar with cloud services (e.g., AWS, GCP, or similar) and deployment practices

Frontend expertise

• Passion for clean, usable, and performant UIs

• Experience building interactive dashboards or data-heavy products

• Strong eye for detail in layout, interaction, and responsive design

Startup mindset

• Comfortable with ambiguity, fast iteration, and wearing multiple hats

• Pragmatic, product-minded, and focused on delivering value to customers

• Collaborative and self-directed — excited to work cross-functionally in a small team

Bonus

• Experience with data visualisation libraries (e.g., Nivo, Recharts, D3, Chart.js)

• Exposure to ML-powered products or interfacing with ML teams

• Experience working with video or creator/influencer tools

Process

• The interview process consists of 3 stages

  • Screening Call (remote)

  • Pair Programming Interview (remote)

  • System design and Behavioural Interview (onsite)

• After interviewing, we will aim to make a decision quickly: we don’t expect the process to take more than 10 days

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