AI that helps financial advisors grow and spend more time with clients. Backed by Sequoia and ICONIQ.
About the role
We are looking for a Forward Deployed Engineer to be the technical counterpart for our customers and make sure every implementation succeeds.
What they're looking for
- You have 3+ years in a forward deployed, solutions engineering, technical implementation or similar customer-facing engineering role at a high-growth technology company
- You are a strong engineer. Python and SQL are second nature, and you are comfortable working across systems, APIs and messy real-world data
- You have put LLMs and agentic tooling into production, and you have judgment about where they are reliable and where they are not
- You build fast. You would rather ship something working and iterate than design something perfect on paper
- You are precise about numbers. You know the difference between an honest "the data cannot answer that" and a confident wrong answer, and you know which one costs more
- You communicate exceptionally well with people who are not engineers. You can walk a COO through what you built and where it is weak without losing them
More about this role
Nevis is building the world’s first AI wealth management platform. In just 9 months, Nevis has grown to have over $50 billion of assets under management on its platform and is on track to have over $100 billion by the end of this year.
Nevis is also backed by world leading investors and has raised a total of $40 million from Sequoia Capital, ICONIQ and Ribbit. Together it makes Nevis one of the highest funded and fastest growing Series A startups in Europe.
We are looking for a Forward Deployed Engineer to be the technical counterpart for our customers and make sure every implementation succeeds.
When one of the largest wealth management firms in the country decides to run on Nevis, you are the engineer in the room with them. You learn how their business actually works, translate that into what we build and configure, and own the technical side of the deployment from first workshop to a platform their advisors use every day. You work with their engineers, their operations team and their vendors, and you stay their technical point of contact long after go-live.
The work spans whatever the deployment needs: integrations with the systems they already run, getting their data into our...
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