About the role
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. 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. We’re hiring the first cohort of Forward Deployed Engineers to bring it into production at enterprise customers. You’ll own the deployment journey from first process file to a working, improving system, and hand off a functioning capability to the customer’s team. The code you write and the patterns you discover feed directly back into how ProcessOS is built. You’ll work end‑to‑end across Java services and React interfaces, collaborating closely with a talented 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 end-to-end journey from first process file to a running, measurably improving production workflow.
- Feed the product: You're building the product as you work with customers; this includes features, agents, and skill files. When you find a bug, you're empowered to fix it.
- Drive organisational adoption: work across technical and business stakeholders to turn early deployments into lasting customer capability.
- Work at technical depth: configure Camunda clusters, debug integration failures, and build custom agents where platform defaults don’t fit.
- Build the playbook: document what good looks like as you discover it and make the next deployment faster.
- Hand off deliberately: leave each customer team trained, independent, and able to act on improvement results without you.
Compensation
We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) spans from the minimum in a Standard market to the maximum in a Major market.
- United States: $131,100 to $211,400
- United Kingdom: £82,300 to £135,400
- Singapore: S$162,800 to S$244,200
Equity
We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).
Benefits & Perks
- Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.
- In Person Connection: We invest in meaningful face time through our Annual Kickoff, team offsites, and Camundi Connection Budgets.
- Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life.
- Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant.
- Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!
- Enterprise production experience: you’ve shipped something inside a large organisation and stayed to see it operate. You know why governance and resilience matter at scale.
- Technical depth: you can debug an integration failure, write a custom agent against a legacy API, stand up a Camunda cluster from scratch, and explain generated BPMN to both engineers and business leads.
- Stakeholder communication: you work effectively across engineering, architecture, and business leadership and adapt how you communicate without losing precision.
- Practical AI experience: you’ve used AI to solve real problems in production – not just experimented. You understand context management, prompt engineering, agent testing, and integration tradeoffs.
- Comfort with ambiguity: you make sound judgment calls without a playbook and document what you learn.
- Occasional travel may be required.
- Ability and/or willingness to use our product.
- Nice-to-haves: Experience in a customer-facing engineering or professional services role; Familiarity with regulated industries such as financial services, healthcare, or insurance; Production experience with agentic systems or AI-integrated workflows; Contributions to a shared platform or open source project that others built on.
