Software Engineer, Glyphic AI

Salary not provided

Offers generous options

React

MongoDB

AWS

Docker

TypeScript

Python

Keep

Git

REST API

FastAPI

Junior and Mid level

London

3+ days a week in office

AI co-pilot for sales

Job no longer available

AI co-pilot for sales

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Job no longer available

Salary not provided

Offers generous options

React

MongoDB

AWS

Docker

TypeScript

Python

Keep

Git

REST API

FastAPI

Junior and Mid level

London

3+ days a week in office

1-20 employees

B2BArtificial IntelligenceEnterpriseProductivitySaaSSales

Company mission

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

Job

Company

Role

Who you are

You can work full-stack, 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 early Engineers shaping our product, and will work across our whole tech 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: Build AI-powered tools that delight users and make complex sales workflows effortless and enjoyable
Get involved forming an early stage business: Help define our culture, brainstorm marketing ideas, and more—there's so much to do beyond software development!

Salary benchmarks

Our take

As AI becomes more advanced, there’s been a groundswell of startups looking to use it to overhaul different sectors. One such company is Glyphic, which is developing AI copilot tools to help supercharge the work of industry professionals.

Glyphic's first focus is on helping boost sales for top-performing revenue teams. Demand for such an offering is high, which provides ample opportunity for the company to carve itself a suitable space in the market.

This demand does also mean that Glyphic faces hot competition, but it has nonetheless gotten off to a strong start. As it tests and refines its product, the possibility for impact is high - and there is potentially a lucrative stepping stone for expansion into other verticals.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

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

Leadership

Adam Liska

(Co-Founder & CEO)

Completed a PhD in Cognitive and Brain Sciences at the University of Trento, before working as a Research Scientist at Spotify. Then was Senior Research Engineer and Team Lead at DeepMind.

Devang Agrawal

(Co-Founder & CTO)

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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