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Product Manager; Build - Platform Palo Alto, California

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Workato Inc
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 230000 USD Yearly USD 230000.00 YEAR
Job Description & How to Apply Below
Position: Staff Product Manager (Build Experience - Platform) Palo Alto, California

Overview

Staff Product Manager role to define and execute the strategy to establish Workato as the enterprise leader in Asset Lifecycle Management. Goal is to build a unified platform that streamlines the entire lifecycle of orchestration assets.

Responsibilities
  • Leadership in Platform Lifecycle
    • Develop and execute the product strategy for a unified platform supporting design, development, versioning, CI/CD, and testing.

    • Define and prioritize the roadmap to solve challenges of maintaining high quality automations at scale.

    • Deliver the best experience for Workato users to enable democratisation.

    • Deliver governance and quality assurance capabilities for IT leaders to confidently unlock democratisation.

  • Drive AI-Powered Innovation
    • Leverage AI to enhance discovery and adoption of platform capabilities that increase ROI for enterprises.

    • Integrate semantic enrichment to enforce best practices and reliable architecture.

    • Incorporate predictive analytics to proactively recommend optimisations during the recipe building journey.

    • Collaborate with AI research teams to infuse machine learning into CI/CD features, driving continuous improvement and agile delivery.

  • Build A Reliable Platform for Full Lifecycle Development
    • Embed lifecycle capabilities into the core platform to deliver reliable orchestration rapidly.

    • Ensure compatibility with asset lifecycle management, developer API support, deployment options, operations, observability, and related embedding.

    • Meet enterprise security, compliance, and scalability requirements to be the go-to platform for large-scale orchestration.

  • Lead Cross-Functional Execution
    • Collaborate with engineering, UX, and GTM teams to ensure seamless feature adoption.

    • Inspire confidence in GTM teams and customers to view Workato as an innovative leader in Enterprise Orchestration.

    • Act as a thought leader, driving customer trust and enterprise adoption.

Qualifications / Experience / Technical Skills
  • Education
    • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.

    • An MBA or advanced degree is a plus but not required.

  • Experience
    • 5+ years of product management experience in SaaS or B2B environments, specializing in Integration Platforms, with a track record of shipping and scaling complex data products.

    • Proven ability to lead cross-functional teams, influence product strategy, and drive execution in fast-paced settings.

  • Technical & Analytical Skills
    • Deep expertise in software lifecycle operations, including design, rapid development, LCNC, version control, CI/CD, and testing methodologies.

    • Strong understanding of modern software architecture, API security, observability, canary releases, and Kubernetes.

    • Hands-on experience with version control tools, workflow automation tools, and automated testing tools to build scalable integration platforms.

    • Familiarity with software lifecycle technologies such as git, AI-powered linters, serverless cloud-native, and edge computing and their impact on enterprise integration strategies.

  • Customer & Data Orientation
    • Ability to understand customer needs across Workato personas, especially builders and architects, and translate complex concepts into intuitive product capabilities.

    • Strong data-driven decision making using customer research, data analytics, and competitive insights.

    • Experience analyzing large-scale deployments to optimize usage and product performance.

Our target compensation is around $230,000 USD plus stock options; final package depends on the interview process. We are open to negotiation and aim to align with salary expectations.

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