AI Solutions Engineer (Germany)

Reindeer; Deutschland; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Reindeer is seeking a senior Solutions Engineer to own the post-sale customer journey—from deployment and integration to adoption and expansion of AI-driven enterprise workflows.

You will partner with founders, Product, and R&D to scale complex AI-powered solutions across enterprise environments, ensuring security, compliance, and measurable business value.

Qualifikationen

• 7+ years in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or similar post-sale role.
• Strong analytical skills translating business needs into technical solutions.
• Understanding of AI concepts and enterprise applications.
• Experience supporting deployments across cloud environments and enterprise systems integrations.
• Excellent communication and stakeholder management skills.
• Ability to manage solution delivery across the full post-sale lifecycle.

Aufgaben

• Own end-to-end solution deployment and ensure models meet performance and business value expectations.
• Define success metrics and drive adoption post-launch.
• Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
• Guide customers through security, compliance, and IT approval processes.
• Plan and execute rollout to drive smooth implementation and adoption.

Kenntnisse

Analytical skills

AI concepts

Communication skills

Stakeholder management

Cloud deployments experience

Enterprise system integrations

Post-sale customer-facing

Jobbeschreibung

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.

We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.

We are a well-funded, early-stage startup, building our Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

Your Impact

Customer Onboarding & Process Analysis

• Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
• Translate findings into clear implementation plans for AI-powered solutions.

Data, AI Models & Workflow Development

• Partner with customers to assess data readiness and gather inputs for AI workflows.
• Configure and integrate AI components into tailored, AI-driven workflows.
• Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

• Own end-to-end solution deployment and ensure models meet performance and business value expectations.
• Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

• Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
• Guide customers through security, compliance, and IT approval processes.
• Plan and execute rollout to drive smooth implementation and adoption.

What It Takes

• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Strong understanding of AI concepts and their enterprise applications.
• High adoption of modern AI tools and workflows.
• Experience supporting deployments across cloud environments and enterprise system integrations.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.

Nice to Have

• Experience with process mining, workflow mapping, or operational analytics
• Familiarity with enterprise platforms
• Financial services industry experience