Manager-Software Engineering - The AI Platform Organization
About The Position
The Manager-Software Engineering will serve as a strategic partner to technical and non-technical teams, helping bring strategic platforms and projects to life. The role is part of the AI Platform Organization and is responsible for enabling the platform vision, product roadmaps, business objectives, and targeted outcomes. The successful candidate will also partner with the Director of Generative AI Enterprise Enablement and other AI leaders to provide regular written and verbal updates to senior management. The position leads the engineering enablement, administration, implementation, and continuous optimization of enterprise AI SaaS platforms, with a focus on secure, scalable, and reliable solutions. It works across application engineering, infrastructure, cybersecurity, architecture, security, risk, compliance, governance, program, and engineering teams to operationalize AI capabilities, maintain platform controls, support adoption, and deliver platform enhancements. The role also evaluates emerging AI technologies and may mentor Technology Delivery and Engineering colleagues.
Requirements
- At least 5 years of hands-on engineering experience across complex systems and platforms, with a proven record of delivering scalable, high-impact solutions.
- Deep understanding of software and infrastructure design principles and a demonstrated track record of increasing responsibility.
- Experience working with cross-functional, geographically dispersed teams on complex projects.
- Experience using Agile, Scrum, or other rapid application development concepts to deliver technology solutions that meet customer expectations for timeliness and quality.
- Knowledge and experience using Agile management tools such as Jira, Rally, or similar platforms.
- Excellent oral, written, and interpersonal communication skills, including the ability to communicate effectively across third parties and technical and business teams.
- Ability to clarify objectives, address ambiguity and under-defined problems, advocate for simplification, and influence teams.
- Ability to enable business capabilities through innovation.
- Willingness to learn new technologies.
Nice To Haves
- Bachelor's degree in computer science, computer engineering, or another technical subject area, or equivalent work experience (preferred).
Responsibilities
- Lead engineering enablement, implementation, administration, and continuous optimization of enterprise AI SaaS platforms, ensuring secure, scalable, and reliable solutions aligned with organizational objectives.
- Own platform administration and configuration, including workspace and project management, user provisioning, role-based access controls, authentication, API credentials, usage limits, and lifecycle management.
- Partner with application engineering, infrastructure, cybersecurity, and architecture teams to design, integrate, and operationalize AI platform capabilities within enterprise applications and workflows.
- Establish and maintain platform operational controls, including monitoring, observability, usage analytics, performance optimization, incident management, and cost governance.
- Drive technical onboarding and platform enablement for internal teams, including API access, integration support, environment configuration, and adoption of engineering best practices.
- Collaborate with security, risk, compliance, and governance stakeholders to implement enterprise standards for identity management, data protection, access controls, and responsible AI usage.
- Lead platform enhancements, configuration changes, release coordination, testing, and production readiness activities to support operational stability and adoption of new capabilities.
- Partner with program and engineering teams to track platform deliverables, technical milestones, dependencies, and operational risks; resolve impediments and communicate progress.
- Evaluate emerging AI models, platform capabilities, and engineering practices to identify opportunities for automation, innovation, operational efficiency, and improved developer experience.
- Demonstrate technical leadership, structured problem-solving, adaptability, and a bias for action while navigating evolving AI technologies.
- Where applicable, mentor Technology Delivery and Engineering colleagues and foster technical excellence, knowledge sharing, continuous learning, and an inclusive team environment.
- Provide regular written and verbal updates to senior management in partnership with the director and other AI leaders.
Benefits
- Competitive base salaries
- Bonus incentives
- 6% company match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need
- 20+ weeks of paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption, or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors, depending on location
- Free and confidential counseling support through the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Manager
