Workato3 дня назад
Director, Product Management (AI Adoption & Enterprise)
Palo Alto
Обязанности
- 01Define and articulate a bold, AI-first product vision that positions Workato as an enterprise AI runtime rather than a traditional automation platform
- 02Develop a cohesive strategy to increase AI workload adoption through experience transformation — across onboarding, discovery, build, sharing, and marketplace engagement
- 03Identify structural friction points that slow experimentation or AI usage and design systemic solutions to eliminate them
- 04Align AI adoption goals with enterprise governance, scalability, and operational excellence standards
- 05Lead the design and launch of frictionless personal workspaces that enable builders to experiment safely without administrative bottlenecks
- 06Build AI-driven onboarding flows that convert user intent into working AI-powered workflows within minutes
- 07Define activation metrics that compress time-to-first-value and accelerate AI workload creation
- 08Establish clear and secure pathways for promoting assets from sandbox environments into governed production workspaces
- 09Own the strategy for intent-driven search and intelligent discovery across AI templates, reusable components, agent blueprints, and enterprise patterns
- 10Design dynamic discovery systems that surface relevant AI capabilities based on user behavior, role, and enterprise context
- 11Create internal automation galleries and visibility systems that encourage exploration and cross-team AI adoption
- 12Reduce duplication by enabling structured reuse of AI-powered workflows and standardized patterns
- 13Define and deliver a next-generation builder experience that embeds AI directly into the workflow creation surface
- 14Enable live synchronization between visual and code-based representations of workflows
- 15Enhance debugging, replay, and static analysis tooling to improve developer confidence in AI-generated logic
- 16Modernize the UX to support agent-based systems, parallel execution, modular design, and AI collaboration
- 17Ensure the builder experience feels programmable, intelligent, and fast while maintaining usability for diverse personas
- 18Design forkable workflows with lineage tracking, reusable subflows, version-controlled modules, and structured component libraries
- 19Enable cross-workspace sharing mechanisms that promote safe and scalable reuse of AI-enabled workflows
- 20Introduce governance-aware reuse frameworks that balance speed with enterprise control
- 21Drive measurable increases in reuse rates and cross-team collaboration
- 22Expand the marketplace to include AI blueprints, agent skills, reusable automation packs, and extensibility frameworks
- 23Define contribution models, SDK strategies, and governance controls that enable ecosystem growth while maintaining enterprise standards
- 24Develop rating, certification, and versioning systems that build trust and quality in marketplace contributions
- 25Drive marketplace adoption metrics tied directly to AI workload growth and ecosystem engagement
- 26Collaborate closely with Engineering, Design, AI research, Solutions Consulting, Customer Success, Marketing, and Sales to deliver and position AI-first experiences
- 27Partner with go-to-market teams to shift perception toward AI-native enterprise capabilities
- 28Ensure cohesive integration of AI experience strategy across adjacent product areas
Условия
- 01Vibrant and dynamic work environment
- 02Multitude of benefits they can enjoy inside and outside of their work lives
- 03Flexible, trust-oriented culture
- 04Balance productivity with self-care