Position listed on behalf of a partner company that manages all applications and next steps.
Responsibilities
Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results.
Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period.
Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments.
Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks.
Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements.
Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption.
Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook.
Train and enable customer teams so they can independently operate the solution after the handoff.
Contribute engineering insights from customer deployments back into product development and platform evolution.
Travel occasionally when required.
Requirements
Proven experience delivering and operating software in enterprise production environments, with strong understanding of governance, resilience, reliability, and operational requirements at scale.
Strong software engineering capabilities: debugging integrations, building custom agents against APIs or legacy systems, configuring platform clusters, working across distributed systems.
Experience with Java-based services and React interfaces, or ability to quickly operate across comparable technology stacks.
Practical production experience with AI technologies: AI-powered applications, prompt engineering, context management, agent testing, evaluating integration trade-offs.
Ability to understand and explain generated BPMN workflows and technical concepts to engineering teams and business stakeholders.
Strong customer and stakeholder communication skills.
Demonstrated ability to operate in ambiguous environments and document emerging best practices.
Experience in customer-facing engineering, solutions engineering, or professional services is a plus.
Familiarity with regulated industries (financial services, healthcare, insurance) is advantageous.
Production experience with agentic systems or AI-integrated workflows is a plus.
Contributions to shared platforms or open-source projects are valued.
Conditions
Fully remote and flexible working environment.
Home office budget and support for coworking spaces.
Flexible time off.
Competitive, location-based compensation with transparent salary structures.
Equity through a Virtual Stock Option Plan where applicable.
Locally tailored healthcare benefits.
Global mental wellbeing support through Modern Health.
Live Well Lifestyle Spending Account, launching in 2026 and scaling to €1,000 annually from 2027.
Retirement and pension plans, often including company contributions.
Life and disability insurance where applicable.
Annual learning and development budget of up to $/€/£1,000.
Annual company kickoff events, team offsites, local gatherings, and connection budgets.