Senior Engineering Manager [gn] Connectivity and Integrations

Overview Senior Engineering Manager – Connectivity and Integrations (Germany). Lead high-impact engineering initiatives at the intersection of data intelligence, cloud platforms, and AI-driven software development. Guide a highly experienced engineering team responsible for building scalable, high‑availability integration and connectivity solutions for enterprise‑grade systems. Shape organizational design, optimize workflows, and integrate AI‑powered processes into the software development lifecycle. Work closely with executive leadership, product, and technical stakeholders to drive innovation, operational excellence, and engineering scalability in a fast‑evolving SaaS environment. Accountabilities Lead and mentor a high‑performing engineering team focused on connectivity, integrations, and scalable data platform solutions. Drive organizational design initiatives using modern engineering frameworks such as Team Topologies to improve flow efficiency and reduce cognitive load. Oversee the integration of AI‑driven workflows and automation into the software development lifecycle, including coding, testing, deployment, and incident response processes. Provide architectural leadership and technical oversight for large‑scale, cloud‑centric SaaS platforms. Collaborate with Product, UX, and executive stakeholders to translate strategic roadmaps into technical execution plans. Establish and monitor engineering performance metrics, operational benchmarks, and process improvement initiatives. Design scalable onboarding, deployment, and feedback processes to support engineering growth and efficiency. Foster a strong engineering culture focused on mentorship, knowledge sharing, collaboration, and continuous improvement. Coach engineering leaders and support career development, internal mobility, and succession planning initiatives. Requirements 7–10+ years of experience in high‑growth SaaS or technology environments with strong engineering leadership responsibilities. Proven experience building, scaling, and managing R&D or engineering organizations in fast‑paced environments. Strong technical background with expertise in software architecture, distributed systems, and cloud‑based platforms. Deep proficiency in Java and experience working with scalable, high‑availability infrastructure. Practical experience or strong interest in AI‑driven engineering workflows, LLM integration, and automation within SDLC processes. Strong understanding of organizational design principles including Team Topologies, flow optimization, and engineering scalability. Experience implementing modern leadership and management frameworks such as Management 3.0. Excellent communication and stakeholder management skills with the ability to align technical and business priorities. Strategic mindset combined with hands‑on execution capabilities and a strong sense of ownership. Passion for mentoring engineering talent, fostering collaboration, and building inclusive team cultures. Benefits Competitive compensation and comprehensive benefits package. Flexible remote or hybrid working arrangements. Opportunity to lead innovative AI‑first engineering transformation initiatives. Exposure to enterprise‑scale cloud and data platform technologies. Collaborative and diverse international work environment. Strong opportunities for professional development, leadership growth, and career advancement. High‑impact role with visibility across executive leadership and strategic business initiatives. Inclusive culture that values innovation, knowledge sharing, and continuous learning. Opportunity to work alongside highly experienced engineering and product teams on mission‑critical technologies. #J-18808-Ljbffr Jobgether