Description
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 s
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