Senior Fullstack Engineer

Central London • hybrid remote

Competitive Salary (+ EMI options) • full-time, permanent

What is CoLoop?

CoLoop: AI copilot for Insights & Strategy teams

At CoLoop we’re on a mission to make every company in the world as customer obsessed as Amazon. We’re doing this by giving the next generation of workers immediate, intuitive access to the knowledge they need to make better decisions, faster.

• We automate content analysis and knowledge management to provide a 70% time and cost reduction for marketing research.
• We’re used by 250+ large agencies & research teams globally including Amazon, Financial Times, P&G and Publicis Sapient.
• Profitable team of 9 based out of central London with $5M raised in total and growing fast — 400% ARR growth in the last 12 months.

Company Vision

We are Jack & Adrien — Cofounders at CoLoop.

Large enterprises today waste billions of dollars on bad decisions. These include things like failed product launches, marketing campaigns and strategic initiatives. When it comes to managing large and expanding portfolios of products, brands and services. Most of them are just flying blind…

• 88% of executives feel their market is changing faster than they can keep up with
• 95% of products fail in their first year.
• 25% have no clear research strategy at all.

Why? Because the time and cost of conducting strategic analysis are prohibitively high, and research is trapped in a fragmented, unmanageable mess:

🚧 Slow & Expensive – Traditional content analysis costs $10,000+ and takes weeks. Outsourced content analysis for a single interview costs up to $200.

🔗 Scattered & Siloed Data – Data lives in disconnected platforms with proprietary formats and no public APIs.

📂 Unsearchable & Unused Insights – Insights get buried in SharePoint, abandoned repositories, or static reports that no one revisits.

📉 Lost in Translation – Companies store decks and summaries but lack access to raw data, making it impossible to extract new insights.

How do you solve this problem?

The solution to overcome this barrier and bring strategic insights into any decision across an enterprise needs to be fast, comprehensive and effortlessly accessible.

At CoLoop we’re building the AI first customer intelligence platform of the future designed to eliminate these bottlenecks.

🚀 Fast & Affordable – AI-driven content analysis delivers insights in days, not weeks, at a fraction of the cost and with no effect on quality (read the paper).

🔗 Connected & Centralised Data – All research sources seamlessly integrated into a unified, accessible platform. Agency partners can even collaborate directly with clients in platform and deliver insights directly — creating a powerful referral loop.

📂 Searchable & Actionable Insights – Insights are dynamically organised, instantly searchable, and continuously used with almost no effort up keep required from users.

📈 Transparent & Data-Rich – Direct access to raw data, study objectives, and metadata rather than static reports ensures insights can be repurposed and refreshed rather than lost.

We are reinventing the entire insights value chain, AI first. With CoLoop we’re enabling companies to capture and scale customer intuition to the next generation of workers.

Human or agentic.

About the job

We are a small, cross-functional team of experienced operators. We are looking for product minded engineers who thrive in highly autonomous environments. We want people who are willing to go above and beyond the traditional bounds of engineering and put in the hours to build a truly category defining customer experience.

If you are looking to work hard, learn fast and bring fresh ideas from all areas, including artificial intelligence, natural language processing, information retrieval, collaborative tools, UI/UX design, security and more then this is the job for you.

Qualifications

Minimum qualifications

• 6+ years experience with Typescript, Python, and React.
• Proven experience developing at least one project using generative AI technologies.
• Interest and ability to develop applications of generative AI.
• Ability to speak and write in English fluently.

Preferred qualifications

• Bachelors degree in Computer Science, Engineering, Mathematics or equivalent.
• Previous experience architecting and implementing complex systems across the stack, e.g. payments infrastructure, robust processing workflows, realtime applications, etc.
• Knowledge about industry best practices around devops, gitops, testing, and code quality.
• Previous experience working at growth stage company or startup.

What is it like working at CoLoop?

• We are a small and highly collaborative company.
• We face new challenges frequently and adapt quickly to learn on the job and solve them.
• We are hard working; evidence driven and thoroughly enjoy coming to work on a Monday morning.
• While working here we want everyone to develop curiosity, passion and pride for their craft.

Responsibilities

• Design, develop, test, deploy, maintain, and improve our product.
• Manage priorities, deadlines, and deliverables.
• Identify ways for improving our software architecture and infrastructure.
• Active involvement in and real influence on shaping product direction.

Our stack

• Frontend
  • React (Typescript)
  • NextJS
  • TRPC (probably move to GraphQL once mature)
  • Custom component lib with Radix UI and vanilla-extract
  • Lexical for rich text editing
• Backend
  • NextJS
  • TRPC
  • Prisma ORM with Postgres
  • Stripe for subscriptions / billing
  • Python for core AI service
• Infra
  • Github
  • Docker
  • AWS CDK for CI/CD
  • AWS: S3, SQS, Lambda, ECS Fargate, EC2

Interview Process

• CoLoop is looking for engineers who exhibit a high degree of ownership and autonomy; enjoy a steep learning curve and are able to ship and iterate quickly.
• Our interview process aims to find engineers of this description who will thrive and enjoy working at CoLoop.

Outline of interview process (~1-2 weeks from first contact)

1. Informal Phone Call
2. Contract work with us
   • 1-3 days tackling a real engineering task
   • Meet the team
3. Feedback
4. Decision

If you're excited about this role but don’t meet every single requirement, we’d still love to hear from you. Studies show that women and underrepresented groups often hesitate to apply unless they check every box - we don’t want that to hold you back. So if this job sparks your interest, go for it!