Software Engineer, Glyphic AI

£50-75k

React
MongoDB
AWS
TypeScript
Python
REST API
Junior and Mid level
London

2+ days a week in office (London)

Glyphic AI

AI co-pilot tool for sales

Job no longer available

Glyphic AI

AI co-pilot tool for sales

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Job no longer available

£50-75k

React
MongoDB
AWS
TypeScript
Python
REST API
Junior and Mid level
London

2+ days a week in office (London)

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Company mission

To create a customer centric world by helping companies build and sell what people want and need.

Role

Who you are

  • 🧙 You’re a full-stack wizard, experienced and up to date with best practices in React and Python
  • 🏢 2+ years of experience, from large tech companies or high-growth startups
  • 🔧 You've built and maintained production systems, with experience in testing, Git, Docker, and CI/CD
  • 🤖 You're excited about generative AI's potential and want to help customers harness its power! ML/AI experience isn’t required for this role, but there’ll be opportunity to learn from our ML experts
  • 🧬 You like to keep things simple and find elegant solutions to complex problems
  • 👥 You're customer-oriented, with a passion for understanding users and crafting intuitive UX
  • 🧩 You love teamwork but can also work independently to figure things out
  • 🥞 You’re keen to work in our tech stack. It currently includes React, Typescript, and TailwindCSS (front end), Python 3.10, FastAPI, REST, MongoDB, and AWS (backend). Plus you’ll play a role in helping define it further!

What the job involves

  • ️ Building our product from end to end: You’ll be one of the first Engineers shaping our solution, and will need to work across our stack
  • Shipping fast: We like to iterate quickly, and believe done is better than perfect
  • 🧪 Investing in developer experience: You’ll be implementing clean, well tested code, and building scalable, reliable, and maintainable architectures
  • 🤝 Working closely with a high-trust team: Glyphic is a small but mighty team, we’re regularly in the office collaborating together
  • 🗣 Engaging directly with customers: We believe in understanding the customer deeply leads to building the best solution for them
  • 🎨 Crafting a beautiful, intuitive user experience: AI products have a huge potential to turn our users into Sales superheros
  • 🌱 Get involved forming a business from an early stage: Help define our culture, brainstorm marketing ideas, and more—there's so much to do beyond software development!

Salary benchmarks

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

As AI becomes more advanced, there’s been a groundswell of startups looking to find useful deployments of it to overhaul different sectors. VC investment in the field at large has hit staggering multi-billion figures annually, and demand is high, meaning it’s fertile territory for talented entrepreneurs. Like the team behind Glyphic.

With extensive high-level expertise in areas like deep learning, NLP, and generative AI, the Glyphic AI team is looking to develop AI-copilot tools to help supercharge the work of industry professionals. The company is looking to start with helping boost sales for top-performing revenue teams.

The sales sector is awash with AI-driven startups, with the likes of InsideSales, Nudge, and 6sense helping companies slash costs, boost leads and appointments by over 50%, and drastically cut call times. So whilst Glyphic is still in the early stages, it’s jumping into a hot market that’s having a substantial impact on the industry. This will help Glyphic truly test and refine its product, and potentially offer a lucrative stepping stone for expansion into other verticals.

Insights

Company

Company benefits

  • 25 days of paid time off and flexible public holidays
  • Healthcare benefits
  • Professional development allowance (e.g. conference or course)

Company HQ

Holborn, London, UK

Founders

Completed a PhD in Cognitive and Brain Sciences at the University of Trento, before working as a Research Scientist at Spotify, and then moving up to a Senior Research Engineer and Team Lead role at DeepMind.

Graduated in Engineering from Cambridge, and went on to work as an ML Engineer at Apple, and then a Research Engineer at DeepMind.

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