Forward Deployed Engineer

• Builder background with real shipping experience - you've taken systems from zero to production and kept them running

• Fluent with modern AI tooling: LLM APIs, tool and function calling, agent frameworks, evals, prompt engineering as a real discipline

• Strong with TypeScript on the backend. Comfortable with APIs, auth, queues, and integrating with legacy systems

• Daily, fluent use of Claude Code, Cursor, or similar - expected to ship meaningfully faster than a traditional engineer because of them

• Customer-facing instinct - you genuinely enjoy being in the room with users, asking sharp questions, and pushing back respectfully when needed

• You move fast, communicate clearly, and operate well with ambiguity. Comfortable being dropped into an unfamiliar domain and coming back with a working prototype

• Fluency in English. German is a plus

• MUST: experience automating business processes in the ERP space (SAP, Microsoft Dynamics, Oracle, NetSuite, or similar), or prior background in consulting, solutions engineering, or founding/building products end-to-end

• Ship in days, not quarters. Watch a messy enterprise problem become a working production system inside a single engagement.

• Work at the frontier. We use and build with state-of-the-art tech, the latest LLMs, agent frameworks, and AI coding tools, with the budget and mandate to keep up as the field moves.

• Build with the best tools. No legacy stack to drag around.

• Big responsibility, fast. You own customer engagements end-to-end from day one: architecture, build, delivery, and the relationship.

• A team that raises the bar. You're working alongside other FDEs and senior consultants who were hired for exactly this pace.

Learn more about blp and our values at blp.digital/company/careers.

Join BLP and help make the world's business processes autonomous!

Our agentic platform helps finance and operations teams worldwide remove manual work from their core business processes, so work runs end-to-end with greater control and significant productivity gains.

Today, over 550 enterprise customers use BLP across 1,300+ deployed projects. In the processes we automate, customers achieve productivity improvements of 5 to 10 times.

To date, BLP remains majority employee-owned, with Goldman Sachs holding a minority stake as a growth investor. Our success is driven by deep expertise in technology and business processes, a superior product with strong product-market fit, reflected in an expanding customer base that includes Fortune 500 companies.

BLP is one of Switzerland's fastest-growing SaaS scale-ups; we are now entering our next phase of growth. From our headquarters on Zürich's Bahnhofstrasse, we're expanding globally, with a growing presence across Europe and North America.

Join us and help make autonomous operations the new standard.

We're looking for the top 1% - engineers who treat their craft like athletes treat performance, and who want to work alongside people who do the same. The world has changed dramatically in the last quarter. What used to take a team of consultants six months now takes a sharp engineer a few days. The momentum is unreal, and we're growing into it fast.

As a Forward Deployed Engineer, you're embedded directly in our customers' environments, taking a messy enterprise problem from first conversation to a working production system in days - not quarters. You work as part of a small senior team - alongside a Senior Consultant and other FDEs - and you own the technical solution end-to-end: architecture, integrations, agent and workflow logic, frontend where needed, evals, deployment. The work starts and ends with the customer, not the codebase. Feedback cycles are measured in hours, the bar is high, and the people you ship with will push you to raise it.

• Sit with end-users, process owners, and client engineers to understand the real workflow - and the real problem underneath the stated one

• Translate the target-state process into a concrete technical solution: architecture, data model, integrations, agent and workflow design - and ship it in days and weeks, not quarters

• Demo early and often, rough edges included, and fold real feedback into the next iteration

• Make speed / quality / cost trade-offs in real time. Choose build vs. buy vs. configure existing platform capability

• Own observability and evals once live. Iterate until the system is reliable in the customer's real conditions

• Earn trust with the client's own engineering and security teams - API access, data flows, deployment, reviews

• Bring patterns back - reusable components, prompt structures, integration approaches - so the next engagement ships faster