Director, Product Building

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.

Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.

Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies, We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.

About the Role:

Camunda is building out a new sub-division, Camunda Experience, that owns the entire experience layer sitting on top of our orchestration cluster API: the Camunda Hub (managing and sharing process assets, collaborative modeling), our Clients and SDKs, the AI-native builder experience and AI skills, the frontend web apps used to operate and manage human tasks, and our integrations with business applications. This is the fastest-moving part of our product, and it is where Camunda's bet on an AI-first way of working is most visible. To deliver it, we are introducing a new role: the Builder, one holistic role that combines what used to be split across Product Management, Design, and Engineering, and uses an AI-first way of working to discover user problems, define solutions, build, ship, and maintain them. Builders work in small pods (~3 builders per pod), shipping in days rather than months. As Director, Product Building you will lead this ~25-person sub-division (including 3 Pod Leads / Managers), establish the Builder operating model in practice, and deliver the first generation of products under it - starting with a revised Camunda Hub and the AI-native builder experience. You will set the strategy and organizational design for the domain, partner closely with Strategy PMs on long-term direction, and own AI-first production line engineering across all pods so the sub-division operates as a coherent, high-throughput, AI-native production line.

What You Will Do:

• Lead the Camunda Experience sub-division end-to-end: ~25 people across multiple pods (~3 builders per pod), with 3 Pod Leads reporting into you, and own the business outcomes of the entire experience layer (Hub, Clients/SDKs, AI-native builder experience, AI skills, Orchestration Cluster web apps, business application integrations).

• Establish and run the new Builder operating model: define the governance, rituals, quality bar, and forums that make Builder pods work in practice - one role holding product, design, and engineering judgment together, validating with customers, and shipping in days rather than months.

• Ship the first wave of Builder outcomes: a revised Camunda Hub for managing and sharing process assets and collaborative modeling, and the AI-native builder experience, with clear customer-visible value released iteratively.

• Design the organizational architecture of the domain: pod boundaries, scopes, interfaces, and ownership seams across Hub, Clients/SDKs, AI-native builder, human-task surfaces, and business app integrations - so problem discovery, solution definition, implementation, and support scale cleanly.

• Shape long-term strategy in partnership with Strategy PMs: turn directional bets (e.g., "best builder experience for agentic orchestration") into a concrete domain thesis, sequencing, and investment logic, and feed evidence from the pods back into company-level strategy.

• Own AI-first production line engineering for the doma