Own product strategy and roadmap for all AI/ML services for the Digital Imaging ecosystem
Guarantee the smooth incorporation of our APIs into Adobe's key products and platforms
Drive new opportunities for APIs to contribute new integrations, new customer touchpoints, and new creative workflows
Translate AI research and foundation model capabilities into clear, user-centered product requirements
Partner with Applied ML Engineers and Researchers to productize models and define lifecycle requirements
Support AI/ML agent capabilities by ensuring services and pipelines can power reasoning-based and multi-step workflows
Drive research-to-production handoffs, ensuring models are reproducible, benchmarked, and service-ready
Define and align evaluation metrics and benchmarks for quality, latency, and UX impact
Champion service reliability, scalability, and observability across ART ML services
Collaborate with other API and services teams across Adobe
Requirements
Technical proficiency in ML/Infra: Understanding of ML pipelines, Generative AI, Agentic Workflows, APIs, inference, and ML-Ops (CI/CD, observability, monitoring)
Product & Portfolio Skills: Experience with API product management, roadmap definition, backlog prioritization, and scaling platform adoption
Cross-Functional Leadership: Demonstrated capability to align researchers, engineers, product PMs, and enterprise collaborators across competing priorities
Effective Communication: Capability to convert technical limitations into business implications and render APIs/services user-friendly and engaging for collaborators
Nice to Have: Experience with creative tools, imaging, or computer vision ML. Familiarity with cloud ML serving frameworks (Kubernetes, Triton, TorchServe, Ray). Experience scaling multi-tenant enterprise services.
Benefits
Health insurance
401(k) matching
Flexible work arrangements
Professional development opportunities
Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ML pipelinesGenerative AIAgentic WorkflowsAPIsinferenceML-OpsCI/CDobservabilitymonitoring
Soft skills
cross-functional leadershipeffective communication