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Staff Product Manager

Palo Alto, California

About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an “enterprise startup to bet your career on”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

As Staff Product Manager, you will define and execute the strategy to establish Workato as the enterprise leader in Asset Lifecycle Management. Your goal is to build a unified platform that streamlines the entire Lifecycle of Orchestration Assets.

  • 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 the most prominent challenges of maintaining high quality automations at scale.

    • Deliver the best experience for Workat o 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, organisational policies, and reliable architecture.

    • Integration predictive analytics to proactively recommend optimisations through the recipe building journey.

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

  • Build A Reliable Platform for Full Lifecycle Development

    • Embed Platform Lifecycle capabilities into the core platform, enabling enterprises to deliver reliable and high quality orchestration rapidly.

    • Ensure compatibility with the rest of Workato’s orchestration suite, such as asset lifecycle management, developer API support, deployment options, operations and observability, and Embed.

    • Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato 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, as well as customers, to see Workato as the innovative leader in the Enterprise Orchestration space.

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

Requirements

Qualifications / Experience / Technical Skills

  • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.

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

  • Leadership & Product Management

    • 5+ years of product management experience in SaaS or B2B environments, specializing in Integration Platforms.

    • Proven success in shipping and scaling complex data products with measurable business impact.

    • Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments.

  • Application Monitoring, Analysis and Resolution

    • Deep expertise in Software Lifecycle Operations: Technical Design, Rapid Development, LCNC Development, Version Control, CI/CD, and various Testing Methodologies such as unit, integration, functional, load, and high availability.

    • Strong understanding of modern software architecture including, API Security, Observability, Canary Releases, and Kubernetes.

    • Hands-on experience with Version Control tools (Github, Bitbucket, etc.), Workflow Automation tools (Zapier, Workato), and Automated Testing tools (Selenium, JMeter, Locust) to build scalable and robust integration Platforms.

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

  • AI & Intelligent Data Automation

    • Experience integrating AI/ML-driven insights into application monitoring and analysis to reduce down time for workflows and integrations.

    • Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence.

  • Customer-Centric Execution

    • Ability to deeply understand customer needs across various Workato personas, especially builders and architects.

    • Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities.

    • Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption.

  • Analytical & Data-Driven Decision Making

    • Strong ability to use customer research, data analytics, and competitive insights to inform product decisions.

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

Our target compensation is around $230,000 USD plus stock options, but the final package will depend on the interview process. We're open to negotiation and committed to aligning with the salary expectations.

Job Req #2285

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