Project Manager

• Run implementations end to end, including kick-off, scope, planning, configuration, testing and go-live.
• Manage several customers in parallel at different stages and keep projects on schedule.
• Work with customers on their processes and flag invalid process assumptions early.
• Coordinate Integrations Engineers, Technical Project Managers and AI Automation Specialists.
• Own and manage project scope and change requests.
• Keep projects within budget and escalate effort drift early.
• Hand over projects cleanly at go-live to Consultants and the support organization.
• Following onboarding, work from home with regular visits to customers across the DACH region.
• Attend team days, all-hands and offsites in Zurich and company hubs.

• Run implementations end to end: kick-off, scope, planning, configuration, testing and go-live.
• Manage several customers in parallel at different stages and keep each one on schedule.
• Work with customers on their processes and identify invalid process assumptions early.
• Coordinate Integrations Engineers, Technical Project Managers and AI Automation Specialists.
• Own and manage project scope and change requests.
• Keep projects within budget and escalate effort drift early.
• Hand over cleanly at go-live to Consultants and the support organization.
• Own delivery outcomes for global programs from kick-off through the final go-live.
• Drive the first go-live and coordinate wave planning across ERPs, entities and countries.
• Run steering committees and own resulting decisions.
• Write and execute recovery plans for off-track programs.
• Lead blp teams on engagements and coach Project Managers.

Senior Project Manager

Artificial Intelligence

• Configure and tune AI agents for customer documents and processes.
• Drive post-go-live automation from first live volume to target automation rates.
• Deliver customer automation sprints.
• Resolve open AI questions about customer business logic and make decisions permanent.
• Investigate root causes of stalled automation, including master data, process rules, and behavior.
• Own customer health across a portfolio, measured primarily by automation rates.
• Act as run lead and escalation point for live customers.
• Challenge process rules and drive improvements with department leads.
• Enable customer teams to resolve issues independently.
• Identify expansion opportunities and involve Sales and Client Partners.
• Secure and monitor service consumption against budgets.
• Scope automation sprints and additional services and ensure paid work is billed.
• Collaborate with Customer Success Engineers and feed recurring patterns to Product.
• Work alongside Consultants on customer accounts.

AI Automation Specialist

Technical Customer Success

• Answer incoming customer requests through the support channel
• Own incidents end to end: investigate, resolve, and confirm the issue is fixed
• Investigate workflows, documents, or postings that did not behave as expected
• Adjust configuration when appropriate
• Recognise larger problems and escalate them with proper evidence
• Join customer calls to resolve urgent issues as experience grows
• Drive initiatives beyond the support queue to improve scalability
• Document learnings for future team members

Customer Success Engineer – Internship

• Own technically difficult cases from the live customer base end to end, to a verified root cause
• Diagnose across platform behaviour, ERP behaviour, master data and process logic
• Determine and implement the appropriate fix: configuration, data, process or an engineering case
• Stabilize accounts with deteriorating health scores and return them to proper operation
• Drive initiatives that permanently reduce support effort and improve customer experience, including diagnostics, customer-facing self-service and assistants
• Act as the counterpart to Product and Engineering, providing evidence that can change priorities
• Identify structural problems across customers and push for lasting solutions
• Build diagnostic tooling, patterns and documentation that increase team capability
• Mentor interns and earlier-career colleagues and raise the technical bar
• Support Consultants and Customer Success Managers on the technical substance of escalations
• Work on live, challenging systems after go-live; integrations and go-lives are owned by other teams

Senior Customer Success Engineer

Consultant

• Own customer health across the portfolio, primarily measured by automation rates
• Lead customers' transition to AI-native ways of working
• Identify automation blockers and select appropriate solutions
• Enable operational teams and drive adoption of blp
• Challenge process rules and drive improvements with department leads
• Coordinate customer master-data cleanup
• Enable customer core teams to resolve issues independently
• Identify when custom agents or engineering support are needed
• Collaborate with Customer Success Engineers and Customer Success Managers
• Act as escalation point for SLA breaches and own continuity of operations for customers without a Customer Success Manager
• Direct AI Automation Specialists working on assigned accounts