Group Product Manager (API Platform)

Responsibilities

As a Group Product Manager, you'll shape Workato’s API Management strategy and build a unified platform for the entire API lifecycle. Your mission: eliminate fragmented tools and empower enterprises with a seamless, AI-powered API ecosystem.

What You’ll Do

Lead API Management Innovation

• Develop and execute the product strategy for a unified API Platform supporting Design, Secure, Publish, Monitor and Consumption.

• Define and prioritize the roadmap to become the leader in Full Lifecycle API Management market

• Deliver the best experience for API Platform owners, developers and consumers.

Drive AI-Powered Insights

• Leverage AI to enhance API discovery and adoption that increases ROI for enterprises.

• Integrate semantic enrichment to automate API documentation and guides to improve API consumer experience.

• Integration predictive analytics to offer advanced monitoring and alerting capabilities to API Platform teams.

• Work with AI research teams to infuse machine learning into Workato’s API services, driving continuous optimization and smarter decision-making.

Build Enterprise-Ready Solutions

• Build API management capabilities into the core platform, ensuring enterprises have built-in governance, monitoring, development speed and ease of consumption.

• 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 API management solution for large-scale deployments.

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 API Management space.

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

Requirements

Qualifications / Experience / Soft Skills

Leadership & Product Management

• 10+ years of product management experience in SaaS or B2B environments, specializing in API management products.

• 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.

API Management Expertise

• Deep expertise in API Gateway, API Management, Developer Portals and API Lifecycle, and API Federation.

• Strong understanding of modern API architecture including, AuthN/AuthZ, API Security, API Standards, Identity Management, Telemetry, Kubernetes.

• Hands-on experience with API management tools (Apigee, Kong) and API Implementation tools (Azure, AWS, GCP) and iPaaS (Boomi, Mulesoft) to build scalable API programs.

• Familiarity with emerging API technologies like service mesh, serverless cloud gateway, AsyncAPI, edge computing, predictive autoscaling, secrets manager, and their impact on enterprise API strategies.

AI & Intelligent Data Automation

• Experience integrating AI/ML-driven insights into API monitoring and discovery to enhance security and adoption of APIs.

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

Customer-Centric Execution

• Ability to deeply understand customer needs across platform teams, development teams, and API consumers.

• 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 API platforms to optimize usage trends and product performance.

Educational Background

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

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

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

(REQ ID: 1965)