Senior Back-End Engineer

at  Natter

A unique opportunity to be the final Seed-stage hire of a venture capital funded, ex-Uber, WeWork and Amazon team already working with the biggest companies in the world.
You will have autonomy and input into building a unique AI-solution being scaled to extremely large corporate clients e.g. Deloitte, Legal & General, Miro.
High earning potential for the right individual as we enter the next phase of growth and fundraising.
Natter harnesses the power of AI and video to give everyone a voice.
Built by a team of ex-Uber, WeWork and Amazon builders, Natter has selectively hired a team of exited founders, specialist domain experts and SaaS unicorn founding team members. They are now looking for their final Seed-stage team hire: a Senior Back-End Engineer.
Natter is already being used by some of the world’s largest companies, ranging from big four consultancies like Deloitte, institutional financial services providers like Legal and General, to technology innovators like Miro.
Natter’s conversational AI platform allows tens of thousands of users to simultaneously share ideas and feedback through real-time video conversations. Its uniquely scalable tech allows anyone with a smartphone to, literally, have a say on the most important decisions - ranging from workplace strategy to new product offerings.

As a Senior BE Engineer at Natter…

• You’ll be stepping into a role that offers not only technical challenges but also unparalleled ownership and autonomy to shape the innovative Natter platform.
• You will assume a pivotal role in expansion of the company’s in-house Engineering team. Having achieved a lot of initial traction with enterprise-level clients, the team is now at a critical juncture as they look to scale the platform further.
• Serving clients with workforces numbering tens of thousands of users, there’s a need to deliver a robust and scalable architecture to cope with high levels of concurrent users. This role suits someone interested in developing new functionality at the cutting edge of AI innovation.
• Use your expert knowledge and experience to lead and contribute to architectural discussions for the most complex systems in the platform. You’ll do this in order to arrive at solutions that are robust and optimal given the context.
• Keep a high bar for technical excellence in the collective, through your own work, highlighting the work of others and calling out when things haven’t quite met the bar
• Foster a culture of quality within your collective. Proactively championing measures to test work, and gets buy-in from stakeholders when this is not appreciated.