Workgroup Lead

Responsibilities

• Own line management for a co-located team of AI/ML engineers, software engineers, and DevOps engineers across the US.
• Hold regular 1:1s, set development goals, conduct performance reviews, and support career growth for each team member.
• Build a cohesive, high-trust team culture in a distributed environment where colleagues span multiple US regions and Europe.
• Encourage transparency, ownership, and continuous learning within the team.
• Support the team’s delivery cadence, ensuring work is planned, blockers are removed early, and commitments are met.
• Drive engineering quality standards: CI/CD pipelines, code review practices, cloud automation, monitoring, and documentation.
• Identify process gaps and implement improvements that help the team deliver more effectively.
• Build a strong team culture and improve collaboration between engineers who work across different US regions and Europe.
• Act as the primary link between the US engineering team and the supervisory AI organization in Germany.
• Collaborate with US branch management in California on HR, operational, and organizational processes.
• Participate meaningfully in technical discussions around AI/ML pipelines, cloud infrastructure, and system architecture.
• Help the team make sound architectural decisions and maintain alignment with the broader technology strategy.

Qualifications

• 7+ years in software engineering, with at least 3 years in a people leadership or team management role.
• Demonstrated experience managing cross-disciplinary engineering teams (not solely AI/ML or solely traditional software).
• Strong people skills: coaching, motivation, constructive feedback, performance management, and handling difficult conversations.
• Proven ability to build team cohesion and maintain high morale in distributed or fully remote settings.
• Depth in at least one of: AI/ML systems, cloud-native backend services, or DevOps, with working fluency across the others.
• Excellent communication skills, particularly across time zones, cultures, and organizational boundaries.
• B.S. in Computer Science, AI/ML, Software Engineering, or a related technical field.