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9 days ago
Requirements and responsibilities
Rosenxt USA seeks to add a:Engineering Manager, Software & AIThis position is fully remote withh preference for candidates located o, and close collaboration with our supervisory organization in Germany as well as our US legal entity management in California.## SummaryWe are looking for an Engineering Manager to be the on-the-ground engineering leader for our US-based team. You will have line management responsibility for a cross-disciplinary team of approximately 12 engineers spanning AI/ML, cloud backend, frontend, and DevOps. You will serve as the US leadership anchor within a distributed organization that operates across US, Europe, and Southeast Asia.This role reports to the Head of Software and AI, with additional task management from the Head of AI, partners closely with US branch management in California. It is designed for someone who thrives with a high degree of autonomy and wants to shape how a growing team operates.Responsibilities### People LeadershipOwn 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.### DeliverySupport 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.### Cross-organization collaborationBuild 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 rational, and organizational processes.### Technical EngagementParticipate meaningfully in technical discussions around AI/ML pipelines, cloud infrastructure, and system architecture. You don’t need to be the deepest specialist, but you need to engage credibly.Help the team make sound architectural decisions and maintain alignment with the broader technology strategy.## Qualifications### Essential skills7+ years h 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. /ML, Software Engineering, or a related technical field.### Desirable skillsM.S. or higher in a relevant discipline.Experience with AI/ML systems in production environments (beyond experimentation or proof-of-concept).Background ety-critical, or regulated environments (oil & gas, subsea, energy, defense, or similar).Familiarity with regulatory frameworks such as the EU AI Act or equivalent compliance standards.Experience working within or reporting to a European parent organization.Entrepreneurial mindset - comfortable operating with ambiguity, taking initiative, and building processes from the ground up.### Soft skillsCommunication: Communicate effectively across organizational levels, cultures, and time zonesPeople development: Actively coach and develop team members across different technical disciplines, providing constructive feedback, identifying growth paths, and having difficult conversations when neededConflict resolution and trust-building: Build cohesion within a cross-disciplinary team, navigate interpersonal friction constructively, and foster psychological safetyInfluence: Build relationships and drive alignment through persuasion and credibilityAdaptability: Guide a team through organizational change, evolving scope, and ambiguity as the organization scales, adjusting approaches when neededPrioritization and delegation: Manage the team's workload effectively, make trade-off decisions, shield the team from unnecessary noise, and know when to delegate versus when to step in.Curiosity and continuous learning: Stay current with developments in AI/ML and engineering practices, but also with evolving approaches to engineering management and team healthOrganizational awareness: Understand how decisions impact across projects and geographies, read the broader business landscape, and know when to escalate, when to absorb, and when to advocate.Purpose-driven leadership: Connect the team's daily work to the broader mission(s) of the organization, keeping people motivated and engagedSelf-starter: Operate proactively with a high degree of autonomy, identifying opportunities and problems before they surface, and building processes and structures where none yet exist.Our Offer:Rosenxt offers an exceptional working environment, salary commensurate with experience and incredible benefits package.Benefits include:401(k) matching up to 5%, immediately vestedGenerous health benefits, effective immediatelyMedical (PPO, HSA), Dental, Vision, Flexible Spending AccountsFlexible work schedule (Friday half-days off)Incredible work-life balance and flexibilityImmediate Vacation time available, Holidays, Paid Time OffTravel to Europe to work with Rosenxt colleaguesEmployee assistance programLife insuranceParental leaveProfessional development assistanceReferral programRelocation assistanceTuition reimbursement