Forward Deployed Engineer

About the role

About the role

This role is based in Prague (3 days/week in the office). You own a client's problem from the first conversation to the thing running in production, and then you find the next problem. As a Forward Deployed Engineer at Keboola, you sit with our clients, figure out what will actually move their business, design the solution, build it with your team, and make sure it gets used.

Keboola Professional Services is a small team inside Keboola that builds solutions for new clients and helps existing ones get more out of the platform. Forward Deployed Engineers own the client relationship and the solution design. Data Engineers own delivery. Both build.

We build agent-first. Coding agents write most of the code. You own the system around them: the architecture, the context agents need to get a client's business right, and the checks that prove the result is correct. More and more of what we deliver is itself for agents: governed data, definitions and skills that let a client's people hand real work to AI.

This role is for someone who's equally at home in a CFO's office and in a terminal, and who would rather ship a working solution than write a recommendation about one.

What you'll do Win the case

- Lead the conversation at the top: sit with CFOs, COOs and CEOs, understand what's on their agenda, and shape what data and AI should deliver for it

- Work out with their teams how the business runs and where the data lives, then design the solution and scope it into a statement of work the client can sign and we can deliver

- Run proofs of concept together with Data Engineers, on the client's own data, against success criteria agreed up front

Own the engagement

- Be the client's main technical counterpart, from kickoff to go-live, with business stakeholders and data teams alike

- Make the architecture and design calls, and build hands-on alongside Data Engineers on the parts where your judgement matters most

- Engineer the context: capture the client's metric definitions, business rules and ownership so that people, reports and AI agents all get the same right answer

- Keep the project on scope and budget, and raise trade-offs and scope changes early

Grow the account

- Stay close to the executives sponsoring the clients you've launched: review how the solution is used, spot the next use case, and turn it into the next project

- Help clients put agents to work on top of their data, so their own teams can delegate real work to AI

- Work with Sales and Customer Success on account plans for the clients you own

Make the team smarter

- Turn what you learn on one client into reusable patterns, agent skills and context for the next one

- Feed concrete client needs and platform gaps back to Product and Engineering

What we're looking for Must-haves

- Executive presence. You've advised C-level executives directly, not through a partner or a manager. You can walk into a CFO's or COO's office, understand what's on their agenda, connect it to what data and AI can actually do for them, and leave with the next meeting booked.