Sr Engineering Manager, AI Platform

Adobe•San Jose, CA

About The Position

Adobe Firefly AI Platform is the foundation that enables end-to-end AI model development and deployment at large scale, spanning data ingestion and governance, large-scale model training and fine-tuning, and highly reliable inference and serving infrastructure. The mission is to support Adobe’s generative AI products and customer-facing applications, the platform is designed to deliver industry-leading cost efficiency, performance, and operational stability while continuously adopting the latest advances in AI infrastructure, distributed systems, and cloud-native technologies. As a Senior Engineering Manager, you will have a direct and measurable impact on the business by leading teams that build and evolve on this core platform. Your work will influence how efficiently models are trained and served, how quickly new capabilities reach customers, and how reliably Adobe scales to meet growing demand. By driving architectural decisions, optimizing infrastructure economics, and ensuring production-grade reliability, you will help Firefly accelerate innovation while maintaining strong margins and predictable performance at scale. This role offers the opportunity to shape both the technical direction of a critical AI platform and the business outcomes it enables.

Requirements

BS or higher in Computer Science or a related technical field, or equivalent practical experience.
At least 10 years of professional software engineering experience, including prior experience managing engineering teams.
Demonstrated ability to lead distributed teams and collaborate effectively across time zones, work styles, and cultures.
Strong analytical decision-making skills, with the ability to navigate ambiguity, establish priorities, and drive clarity by leveraging quantitative insights.
Proven success in developing, coaching, and empowering software engineers, and in cultivating an environment that supports growth, accountability, and high performance.

Responsibilities

Lead and develop a high-performing engineering team responsible for designing and delivering modern AI platforms that support generative AI model training, fine-tuning, evaluation, and production-grade applications.
Partner closely with product management and customer stakeholders to shape the product roadmap, define user experiences, and align priorities, milestones, and release strategies. Coordinate effectively with upstream and downstream technical teams to ensure seamless integration.
Own the full platform product lifecycle, from planning and architecture through development, rollout, and post-launch impact analysis. Drive execution accountability, proactively identify risks and opportunities, and remove barriers to maintain momentum.
Provide hands-on technical leadership across system architecture, design reviews, and operational frameworks. Ensure platform components are secure, scalable, performant, and resilient, while balancing short-term delivery needs with long-term platform health.
Build and sustain a strong engineering culture centered on collaboration, psychological safety, and continuous improvement. Recruit, mentor, and retain exceptional engineering talent, and guide team members in both their professional and personal growth.