We are seeking a highly skilled and motivated Senior Software Engineering Manager to lead and grow an Austin-based team within Oracle AI services, focusing on cutting-edge generative AI solutions, including AI-driven code generation. This role involves managing and mentoring a team of talented engineers focused on building and scaling AI-powered cloud-based services. 
The ideal candidate has a proven track record in managing software engineering teams, with deep expertise in AI/ML, particularly in generative AI. You will play a key role in shaping Oracle’s generative AI initiatives, influencing product direction, and collaborating with cross-functional teams to deliver advanced AI solutions across Oracle Cloud. Qualifications: 
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 
- 8+ years of software development experience, with 3+ years in a management role. 
- Background in AI/ML, with a focus on generative AI and AI-driven code generation. 
- Proven ability to manage and deliver large-scale services in a cloud environment. 
- Excellent leadership, communication, and collaboration skills. Career Level - M3   Responsibilities Leadership and Team Management: 
- Lead and mentor a team of software engineers working on generative AI, including applications for AI-based code generation. 
- Foster a collaborative and innovative engineering culture, focusing on personal and professional growth. 
- Drive hiring and team-building efforts to scale the team effectively. 
  AI Project Management: 
- Define technical strategies and roadmaps for generative AI-based services on Oracle Cloud, with a focus on AI-driven code generation and automation. 
- Manage multiple engineering projects, ensuring timely delivery of scalable, reliable, and high-performance generative AI solutions. 
- Collaborate with product managers, data scientists, and cross-functional teams to align engineering goals with business objectives. 
  AI/ML Integration and Code Generation: 
- Oversee the deployment of generative AI models for applications such as AI-based code generation, enhancing developer productivity. 
- Ensure best practices in AI/ML model lifecycle management, from development to deployment and monitoring. 
  Cloud Technology and Architecture: 
- Provide technical leadership on cloud infrastructure, software architecture, and best practices for Oracle Cloud AI services. 
- Ensure solutions are optimized for scalability, security, and cost-effectiveness in a cloud environment. 
  Innovation and Continuous Improvement: 
- Stay updated with the latest AI/ML trends, especially in generative AI and code generation, integrating cutting-edge technologies and practices. 
- Continuously seek to improve team processes, development workflows, and system performance. 
  Stakeholder Communication: 
- Communicate technical solutions, progress, and challenges to leadership and stakeholders. 
- Act as a key technical advisor for strategic decisions related to AI, generative AI services, and software development.