Director, Product Management, Firefly Custom Models

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity 

Join Adobe’s Firefly Enterprise team to shape the future of on brand Enterprise creative at scale. As Director of Product Management for Firefly Custom Models, you will define and drive the strategic vision for how creative and marketing teams can train generative AI models using their own brand assets. From the best-in-class user- facing experience to integration in Adobe applications to partnering deeply with the research teams you’ll be responsible for the end-to-end Ccustom Mmodels experience. You will drive the strategy for the future of Custom Models, including extending to new modalities. 

This is a highly visible, executive-level leadership role that requires deep expertise in generative AI technology. You will lead multiple product managers, own a critical pillar of the Firefly Enterprise Solutions strategy, and work directly with Adobe's most strategic enterprise customers. 

What You’ll Do 

• Define vision, strategy, and roadmap for custom and 3P models. 

• Lead and mentor a high-performing PM team. 

• Drive end-to-end product lifecycle: ideation to optimization. 

• Partner with research, engineering, data/ML, design, and business teams to deliver scalable, reliable solutions. 

• Identify automation opportunities and prioritize by impact and feasibility. 

• Set success metrics and make data-driven decisions. 

• Stay ahead of AI trends, regulations, and security. 

• Collaborate on go-to-market strategies and adoption. 

• Work directly with our most strategic customers on product roadmap. 

• Communicate roadmap and outcomes to senior leadership. 

• Enterprise readiness with security, privacy, data residency, SLAs. 

• Model lifecycle with workflows for ingestion, rights, evaluation, deployment, versioning, monitoring, and deprecation. 

• MLOps, partnering on training/inference efficiency, latency, and throughput. 

• Admin controls with keys, access, permissions, approvals, permissions, and reporting.