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As an AI Process Forward Deployed Engineer, you will deploy enterprise workflows, improve systems, drive adoption, and collaborate across teams to enhance AI integration in business processes.

Serve as the primary technical advisor for enterprise customers, guiding Camunda adoption, technical implementation, platform health, risk mitigation, escalations, and ongoing success. Build relationships with business and technical stakeholders, create adoption plans, provide hands-on guidance, and collaborate cross-functionally. The role requires enterprise software experience, programming knowledge, modern solution architecture expertise, Kubernetes familiarity, and willingness to travel on-site up to 50% during busy periods.

Owns the strategy, design, implementation, governance, analytics, and continuous improvement of global sales compensation programs. Responsibilities include designing quotas, commissions, accelerators, and SPIFFs; configuring Xactly and Salesforce; managing launches, documentation, compliance, disputes, reporting, and training; and partnering with Sales, Finance, HR, and executive leadership to align incentives with business goals.

Designs and maintains Camunda’s Kubernetes-based multi-cloud infrastructure, improving scalability, reliability, monitoring, observability, and automation. Owns systems end-to-end, participates in incident response and on-call rotations, creates runbooks, collaborates with product and engineering teams, and mentors less experienced engineers. The role requires strong Kubernetes, infrastructure-as-code, monitoring, incident response, and automation expertise, with cloud, GitOps, programming, and SLO experience preferred.

Design and build durable, distributed data-streaming infrastructure that decouples process data from Camunda’s live execution engine. Develop customer-facing integrations such as Kafka connectivity, support analytics data consumption at scale, and make architecture decisions around consistency, durability, and storage. Participate in production support and on-call rotations while collaborating with Product, Data Layer, Distributed Systems, QA, SRE, and Support teams. Lead ambiguous, cross-functional engineering initiatives from design through delivery.

Build and maintain Camunda 8 backend data-layer services spanning relational databases and Elasticsearch/OpenSearch. Design scalable storage, query, retention, and streaming systems; improve performance, indexing, and production tooling. Lead engineering initiatives from solution design through delivery, collaborate across teams, provide L3 support, and participate in on-call rotations. Investigate production data issues and contribute to schema evolution, workflow automation, and CI improvements.