Principal Product Manager Job at Workato (Palo Alto)

Principal Product Manager

Workato

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

AgentX Support is Workato’s flagship AI-native engine designed to transform customer service from a cost center into a strategic advantage. The platform enables AI agents to reason through complex customer issues, orchestrate backend actions across enterprise systems, and provide real-time, high-fidelity guidance to human support agents during live chats, voice calls, and video interactions. The result is faster resolution, lower operational costs, and improved customer satisfaction at scale. We are seeking an exceptional Principal Product Manager to lead AgentX Support from proven market traction to category leadership. This is a senior, high-impact product leadership role for an experienced product manager operating at the intersection of AI capability, platform architecture, and business outcomes. You will report to VP, Product Management, AI Apps and partner closely with senior leaders across Product, Engineering, AI Research, Design, and Go-To-Market functions. You will own the vision, roadmap, and execution of AgentX Support as it evolves from a successful vertical solution into a multi-industry enterprise platform.

Job Responsibility:

Define the vision and long-term strategy for AI-native, agentic customer support
Establish the product narrative and positioning that differentiates Workato in the customer service market
Represent Workato’s point of view with customers, partners, and industry stakeholders
Partner with design and marketing to translate product capabilities into clear customer value
Define how AI agents interpret intent, reason through complex customer issues, and determine when to act autonomously
Design orchestration frameworks that connect large language models with enterprise systems of record
Lead the development of workflows that enable AI agents to execute actions such as refunds, order modifications, and escalations
Ensure appropriate controls for safety, observability, compliance, and human-in-the-loop oversight at enterprise scale
Define the next-generation support agent workspace augmented by real-time AI guidance
Deliver systems that surface relevant context, recommendations, and next-best actions to human support agents during live customer interactions
Optimize collaboration between AI agents and human support agents without increasing operational complexity
Drive measurable improvements in human support agent efficiency, accuracy, and satisfaction
Define and deliver new modes of customer support beyond chat and email, including voice and video interactions
Own the product strategy for AI-powered voice and video experiences, including real-time transcription, intent understanding, reasoning, and action execution
Ensure consistent agentic resolution capabilities across text, voice, and video channels
Design seamless handoffs between AI agents and human support agents in live, real-time interactions
Define the product analytics strategy for AgentX Support, including metrics, dashboards, and insights that measure resolution quality, efficiency, and customer outcomes
Establish frameworks to measure, infer, and track the effectiveness, correctness, and reliability of AI agent responses
Deliver visibility into AI agent performance, including accuracy, grounding, confidence, policy adherence, and escalation behavior
Enable customers to understand, audit, and continuously improve AI-driven resolutions using analytics, insights, and recommendations
Partner with engineering, data, and AI teams to build evaluation pipelines, feedback loops, and continuous optimization mechanisms
Use product data and AI quality signals to inform roadmap priorities, model iteration, and business decisions
Own the end-to-end product roadmap from early innovation through platform-scale execution
Partner closely with Engineering and AI teams to deliver reliable, production-grade systems
Collaborate with Product Marketing, Sales, and Customer Success to achieve product-market fit and adoption
Define success metrics including resolution rate, time to resolution, CSAT, containment, and business impact
Drive continuous improvement through experimentation, data analysis, and customer feedback

Requirements:

10+ years of product management experience in enterprise software
Demonstrated success building 0-to-1 products or defining new market categories
Track record shipping ML/AI products to production (not just prototyping)
Experience with customer support platforms or CRM systems
Experience with real-time systems or high-throughput environments
Strong systems thinking and comfort designing across APIs, data, models, and workflows
Sufficient technical depth to partner effectively with engineering and AI research teams
Ability to operate effectively in ambiguous, fast-moving environments
Exceptional written and verbal communication skills, with executive-level presence

Nice to have:

Familiarity with AI agent frameworks, tool invocation, policy engines, and AI safety patterns
Experience building products for frontline operational users, including human support agents
Evidence of industry thought leadership through speaking, writing, or advisory roles
MBA or advanced degree in a relevant field

What we offer:

Vibrant and dynamic work environment
Multitude of benefits they can enjoy inside and outside of their work lives

Additional Information:

Job Posted:
March 08, 2026

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