Director, Product Building

About the Role:

Camunda is building out a new sub‑division, Camunda Experience, that owns the entire experience layer on top of our orchestration cluster API: the Camunda Hub (managing and sharing process assets and collaborative modelling), our clients and SDKs, the AI‑native builder experience and AI skills, the front‑end 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, a 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 or 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 organisational 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.

• 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 – a single role holding product, design and engineering judgement 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 modelling, and an AI‑native builder experience, with clear customer‑visible value released iteratively.

• Design the organisational 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 (“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 domain: enforce the AI‑first repo blueprint (structurally invariant codebases, layering, interfaces), invest in reusable agent context and skills, shared CI/CD and platform capabilities, and a clear governance model for standards vs local flexibility – so every pod can operate as a high‑throughput AI‑first production line.

• Create the conditions for sustainable maintenance and support at scale: clarify ownership boundaries, balance feature work against product health, and protect long‑term reliability and credibility as adoption of Hub, SDKs and AI‑native surfaces grows.

• 10+ years in product building leadership, including managing managers and owning business outcomes for a complex, user‑facing product domain.
• Proven track record designing the operating model of a domain, not just running one (pod topology, interfaces, governance, quality bar).
• You have led a team that ships end‑to‑end (from discovery to production), using AI as the execution model, not just as a personal productivity tool.
• Deep, hands‑on fluency with AI‑first product building – shipped real customer‑facing software with AI as the execution layer.
• Strong design taste and craft bar that you personally hold and raise across the teams…