Our mission at Glyphic is to make finding, creating, and sharing enterprise information as easy as possible. We’re starting by building powerful, intuitive products that help elite revenue teams sell more effectively by equipping them with the collateral and intelligence they need to navigate complex customer discussions.
We are intimately familiar with recent transformational changes in deep learning, NLP, and generative AI as former researchers and operators at top AI research labs and companies. Now, we think it’s the right time for these advances to power a new generation of AI-copilot tools that make enterprises feel superhuman.
Founders Adam Liska and Devang Agrawal previously worked with large language models at DeepMind and built AI-augmented products at companies like Apple and Spotify. We’re putting together an elite team of technologists and operators to help us achieve our ambitious vision.
We’re well-funded and backed by world-class investors and advisors.
About the role
We are looking for software engineers who are passionate about building products and infrastructure for production deployment. As one of the first Software Engineers at Glyphic, you’ll lead the design, development, and operations of our products. You will end up wearing many hats and will have a meaningful impact on our product and roadmap.
As a Software Engineer, you should feel comfortable writing backend and frontend code and also deploying it to cloud infrastructure. We want you to have strong opinions and intuitions on the stack of software, tools and cloud infrastructure we should use at Glyphic.
You will collaborate closely with the founders and the ML Engineering team to integrate cutting edge ML models into the software that you write. We want you to be excited to be working in such a cross functional environment and be excited to learn more about NLP and ML.
What you’ll do
Collaborate with a cross-functional team to design innovative solutions to user problems and push the boundary of what’s currently possible.
Build a deep understanding of the product opportunities, pain points, and experiences of external and internal stakeholders and build engineering products to meet those needs
Design and implement solutions on modern technology stack end-to-end, all the way up to production rollout in the cloud
Translate business needs into technical requirements, scope projects, run sprints, and ensure engineering quality
Be an informed sounding board and advisor to others within the company on various strategic initiatives related to product, go-to-market, and scalability
Who you are
A degree in software engineering, computer science or equivalent experience
A solid understanding of software development and system design
The ability to explain complex concepts to non-software engineer audiences
Experience working on ML enabled products is a plus
You’re excited by the ambiguity of being one of the first employees in an early-stage company.
What you’ll get
Exciting work at the forefront of applied machine learning in a well-funded startup.
Competitive salary and share options.
25 days of paid time off and flexible public holidays.
Professional development allowance (for example, for conference or course attendance).
We are primarily based in London and meet in the office at least once a week. We can consider more flexible arrangements on a case by case basis.