Senior Forward Deployed Engineer - NA
Camunda · Remote
About this role
## About Camunda Camunda is the enterprise platform for agentic orchestration—helping organizations coordinate AI agents, people, and systems across complex, end-to-end business processes. With governance, auditability, and human oversight, Camunda helps move AI from pilots to production safely and at scale. Fully remote and global, Camunda is transforming into an AI-first organization built on its own platform. --- ## About the Role: Forward Deployed Engineer (NA) **ProcessOS** is a new kind of Camunda product: business processes described in natural language, generated as executable BPMN workflows, and improved autonomously from production data. Camunda is hiring the **first cohort of Forward Deployed Engineers** to bring ProcessOS into production with enterprise customers. You’ll own the deployment journey—from the first process file to a working, improving system—and then hand off a functioning capability to the customer’s team. You’ll work end-to-end across **Java services** and **React interfaces**, collaborating with a global team to measure, improve, and scale **performance and fault tolerance** in real-world distributed systems. --- ## What You’ll Be Doing - **Deploy and prove**: Own the journey from first process file to production workflow. - **At 90 days**: at least one workflow running, the improvement loop active, and measurable fitness gains visible to the customer. - **At 12 months**: 3–5 customers with viable deployments. - **Drive organizational adoption**: Partner with technical and business stakeholders to build understanding and trust, turning early deployments into lasting customer capability. - **Work at depth technically**: - Configure and run Camunda clusters locally and in cloud environments - Debug integration failures - Build custom agents when platform defaults don’t fit - Write connector logic to integrate legacy enterprise systems with ProcessOS - **Build the playbook**: No deployment template exists yet—document what good looks like and make the next implementation faster. - **Feed the product**: Contribute custom agents, codify integration patterns, and fix production bugs—your field work directly informs ProcessOS. - **Hand off deliberately**: Leave customers with a team that can operate independently, is trained on the platform, and can act on improvement results without you. --- ## What You Will Bring to the Role ### Must Haves - **Enterprise production experience**: Shipped something inside a large organization and stayed to see it operate; understand why governance and resilience matter at scale. - **Technical depth**: Debug integration failures, build custom agents against legacy APIs, stand up a Camunda cluster from scratch, and explain generated BPMN to both engineers and business leads. - **Stakeholder communication**: Work effectively across engineering, architecture, and business leadership; adapt communication without losing precision. - **Practical AI experience**: Used AI to solve real production problems (not just experiments). Understand context management, prompt engineering, agent testing, and integration tradeoffs. - **Comfort with ambiguity**: Make sound judgment calls without a playbook; document what you learn. - **Occasional travel may be required** ### Nice to Haves - Customer-facing engineering or professional services experience - Familiarity with regulated industries (e.g., financial services, healthcare, insurance) - Production experience with agentic sys
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