Senior Software Engineering Manager leading engineering teams in building high - quality capabilities with modern technology at Wells Fargo. Focused on automation, CI/CD, and software engineering best practices.
About the role
- Senior Engineering Manager at Adobe Firefly, leading an engineering team for AI driven creative experiences. Overseeing product execution, strategy, and technical development in a high visibility role.
Responsibilities
- Lead and grow a high performing engineering team delivering AI powered Firefly experiences across web and services.
- Drive end to end product execution from ideation through experimentation, launch, and scaled adoption.
- Partner with Product, Design, Growth, and Data to define roadmap priorities aligned with engagement, retention, and revenue outcomes.
- Own the technical strategy for integrating generative AI capabilities into compelling, scalable, and commercially viable user workflows.
- Champion AI driven development practices, employing intelligent tooling and automation to accelerate innovation and improve engineering productivity.
- Establish a culture of analytics driven development, embedding experimentation, telemetry, and measurable success metrics into every feature.
- Ensure performance, scalability, reliability, and observability are built into product design and implementation from the outset.
- Guide architectural decisions that support long term extensibility, cost efficiency, and global scale as Firefly adoption grows.
- Translate business strategy and commercialization goals into clear technical execution plans, supporting monetization models and growth initiatives.
- Hire, mentor, and develop exceptional engineers while fostering a culture of ownership, accountability, and continuous improvement.
Requirements
- BS or MS in Computer Science or equivalent experience.
- 15+ years of software engineering experience with strong product development foundations.
- 7+ years of experience leading engineering teams delivering user facing applications at scale.
- Experience building and shipping AI powered or ML enabled features in production environments.
- Demonstrated experience supporting product growth, adoption, and commercialization initiatives.
- Strong understanding of analytics driven product development including experimentation frameworks and telemetry.
- Solid grounding in performance optimization, scalability, and production reliability.
- Experience with modern web technologies such as React, TypeScript, GraphQL, and cloud native architectures.
- Proven ability to translate ambiguous product and business goals into structured technical plans with measurable outcomes.
- Track record of mentoring engineers and building high trust, high accountability teams.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
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