Senior Solutions Engineer (AI)

Location: Munich, Germany, with an office-centric hybrid schedule. Standard in-office days are Monday, Tuesday, and Thursday; remote work on Wednesday is generally available, while Friday arrangements depend on the role and team.

Salary: €77,000–€98,000 base salary per year, plus potential equity, sales incentive pay, and benefits.

Company

A product company providing a platform for human and AI collaboration used by teams worldwide to manage goals, work, and workflows.

What you will do

• Lead technical validation for IT and service management opportunities from discovery through demonstrations, proof, and close.
• Map request intake, approvals, triage, fulfillment, coordination, and knowledge-sharing workflows to service management solutions.
• Translate customer pain points into solution designs and business value narratives for IT leaders and service owners.
• Run technical discovery sessions, workshops, whiteboard conversations, and tailored product demonstrations.
• Advise on architecture, integrations, administration, deployment, and migration from legacy enterprise software.
• Build repeatable demo assets, technical collateral, enablement materials, and customer feedback loops for the sales organization.

Requirements

• 5+ years of experience in Solutions Consulting, Sales Engineering, or similar customer-facing technical roles.
• Strong understanding of IT and service team personas, service delivery workflows, operational pain points, and supporting systems.
• Strong discovery, presentation, workshop, and whiteboarding skills for technical and executive audiences.
• Ability to explain LLMs, AI agents, integrations, workflow design, data structures, permissions, and automation clearly.
• Familiarity with ITIL, service catalogs, SLA frameworks, incident and request workflows, and ITSM, ESM, ticketing, knowledge management, identity, or workflow automation tools.
• Ability to collaborate with Account Executives, Customer Success Managers, Product, Product Marketing, and Solutions Engineering teams.

Nice to have

• Experience with AI-powered automation, self-service experiences, or employee service delivery use cases.
• Background supporting displacement or migration from legacy enterprise software.
• Experience building scalable technical content and operating in early-stage or incubation sales motions.

Culture & Benefits

• Office-centric hybrid culture with collaboration-focused in-office schedules.
• Mental health, wellness, and fitness benefits.
• Career coaching and professional support.
• Inclusive family-building benefits and long-term savings or retirement plans.
• In-office culinary options accommodating dietary preferences.