San Francisco, California, United States of America
Full Time
2 weeks ago
$209,300 - $429,350 USD
Visa Sponsor
Key skills
CloudAIMLLLMAgenticLeadershipProduct Management
About this role
Role Overview
Lead the architecture and development of Adobe's agentic harness for both our 1st and 3rd party agentic solutions
Drive coherence across a federated engineering landscape, aligning teams building multiple components of the catalog of capabilities
Grow and lead multiple engineering teams across Adobe's agentic platform and packaging functions, driving technical strategy, team health, and execution velocity
Own the engineering roadmap for packaging and publishing Adobe's agentic capabilities (tools, skills, MCPs) across third-party AI surfaces
Partner closely with the Agentic Product Management leads for 1P and 3P to define technical scope, sequence delivery, and translate product strategy into executable engineering plans
Lead the design and delivery of multi-tier agentic experiences spanning in-app AI assistants, desktop workflow automation, cloud-based orchestration, and long-running enterprise pipelines
Ensure Adobe's agentic packages meet the technical standards, reliability, and quality bar required for launch on major partner platforms, operating on a running release train model
Partner across Adobe's engineering, security, and infrastructure teams to ensure agentic capabilities are built with appropriate guardrails, data protection, and enterprise-grade reliability
Represent Adobe in technical conversations with LLM partners and navigate integration architecture and co-development decisions
Build and maintain fluency across the emerging agentic standards ecosystem — MCP, plugin architecture, skills manifests, agent harnesses — and ensure Adobe's engineering practices evolve with the space
Requirements
A track record of leading and scaling high-performing engineering organizations to ship complex platform products, ideally spanning both first-party product development and third-party ecosystem integrations
Deep experience with AI/ML platform engineering, including working knowledge of LLM APIs, agent frameworks, and the emerging agentic tooling ecosystem (MCP, function calling, orchestration layers)
Experience building and shipping developer-facing platform capabilities — APIs, SDKs, plugin/connector frameworks — at scale
Strong cross-functional leadership instincts with a history of effective partnership with Product, Design, GTM, and external technical partners
Comfort operating in fast-moving, ambiguous environments where technical standards and competitive dynamics are rapidly evolving
Experience with enterprise-grade reliability, security, and compliance requirements in the context of AI-powered products leadership roles
Experience working with LLM providers or contributing to AI platform strategy is strongly preferred.