Senior Engineering Manager
About SAI Group
SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $600 million in annual revenue, and employing a global workforce of over 4,000 individuals.
SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX AI, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges.
Sr. Engineering Manager
Role Overview
As an Engineering Manager at JazzX AI, you will lead, mentor, and grow high-performing engineering teams that develop scalable, AI-driven, enterprise platforms and products. This is a hands-on technical and people leadership role where you will contribute to both technical and organizational initiatives, enabling JazzX AI to execute its mission of delivering transformative AGI-based solutions that transform the future of work in enterprises
Key Responsibilities
Team Leadership
Lead, mentor, and coach a team of talented AI engineers to achieve their career goals and maximize their impact.
Foster a culture of collaboration, inclusivity, and innovation.
Establish and uphold engineering best practices and processes
Technical Ownership
Drive the design, architecture, and delivery of AI-based enterprise cloud systems and platforms.
Collaborate with AI researchers, engineers, product managers, designers, and other stakeholders to align technical efforts with business objectives.
Ensure high availability, scalability, and performance of JazzX AI’s systems.
Project Management
Plan, prioritize, and manage technical projects, ensuring timely delivery of high-quality platforms and products
Use Agile methodologies to organize sprints, retrospectives, and daily stan-ups.
Own the quality and timelines of team execution, outputs and outcomes.
Cross-Functional Collaboration
Partner with research and other engineers, product management, and UX design to define and execute product roadmaps.
Communicate effectively with stakeholders, translating technical goals into business outcomes.
Recruitment and Team Growth
Attract and hire top engineering talent to grow the team.
Build and maintain a pipeline of future engineering leaders.
Required Qualifications
Experience:
12+ years of experience in software engineering with 4+ years in an engineering management role.
Proven track record of leading teams to deliver scalable, production-grade enterprise software platforms and products.
Experience with AI/ML platforms and distributed systems
Technical Expertise:
Proficiency in modern programming languages (e.g., Python, Java, Go, or similar).
Strong knowledge of system design, architecture, and cloud-native technologies (e.g., AWS, Azure, or GCP).
Familiarity managing AI/ML pipelines, data engineering, and MLOps best practices.
Soft Skills:
Exceptional leadership and team-building skills.
Excellent communication and interpersonal skills with an ability to bridge technical and non-technical stakeholders.
Adept at conflict resolution, feedback delivery, and fostering a positive team environment.
Preferred Qualifications
Experience in startups or building enterprise platforms and products from the ground up.
Familiarity with Agile/Scrum methodologies.
Hands-on experience with trade-offs in scaling AI systems and infrastructure.
Understanding of compliance and security considerations in AI/ML implementations.