Lead AI Solution Engineer

Requirements

• 3+ years of direct people‑management experience for engineers, solution engineers, or a comparable technical team, with a clear track record of developing senior talent
• You've been an engineer yourself and are technically deep enough to run code reviews, debug ERP integration issues, and discuss architecture with customers (active Python skills required, ideally experience with API integrations and ML/AI‑adjacent systems)
• Experience in B2B SaaS or enterprise software with complex technical implementations (API integrations, ERP systems, or similar)
• Experience building processes, playbooks, or enablement for implementation, solution, or forward‑deployed teams
• You love the combination of leadership and hands‑on work, and want to stay strong in both
• Fluent English and German (C1+)

What the job involves

• As Lead AI Solution Engineer, you'll grow and lead our AI Solution Engineering team which consists of currently 5+ experienced engineers who work directly with our customers to configure, integrate, and ship the Workist AI into production
• This kind of role is often also called a "Forward Deployed Engineer": a hybrid profile that sits between Engineering, Product, and Customer Success. You combine technical depth with genuine customer focus, and you lead a team that operates at the intersection of our product and our customers' business‑critical processes
• You'll spend roughly half of your time on people and tech leadership, and the other half hands‑on with strategically important customers, staying close to the product, setting technical standards in the team, and leading by example
• The role reports to our Head of Customer Success & Implementation, with a dotted line to the CTO
• Lead, coach, and develop a team of 5+ AI Solution Engineers, including regular 1:1s, career development, and performance feedback
• Own hiring and team growth: define profiles, run interviews, and bring in additional AISEs in 2026
• Set the team's ways of working and quality bar: onboarding, implementation playbooks, quality criteria, handover to Customer Success
• Define and track the team's success metrics (e.g. time‑to‑value, customer go‑live rate, implementation health)
• Be the voice of the AISE team in the leadership circle and partner closely with Product, Engineering, Sales, and Customer Success
• Work directly on strategically important customer projects, from technical integration (ERP connectivity, API, import/export) through to go‑live
• Spot recurring patterns across customers together with Product & Engineering, and translate them into product improvements or new use cases
• As tech lead, ensure quality and scalability: code reviews, architecture decisions, technical standards across the team
• Act as the technical point of contact for customers pre‑and post‑sales, and ensure data privacy and compliance