Senior Engineering Manager [gn] Connectivity and Integrations

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.

• 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.

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