Staff Product Manager (Developer tools)

Workato is a leader in enterprise orchestration, helping businesses streamline operations through its AI-powered platform. The Staff Product Manager will lead the development of developer-facing products, driving the vision and execution of next-generation automation tools while collaborating with various teams to enhance developer experiences.

Responsibilities:

• Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products
• Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success
• Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback
• Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications
• Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision
• Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling
• Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders
• Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement
• Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value

Requirements:

• 7+ years of experience in product management, with a demonstrated history of launching successful developer-facing products
• Passionate about creating exceptional developer experiences and have strong instincts for what makes developer tools truly great
• Possess strong user empathy and a developer-first mindset, effectively advocating for developer needs
• Experience building or managing APIs, SDKs, or other developer platforms
• Technical background or demonstrable understanding of the AI/ML development lifecycle, including data processing, model deployment, and monitoring
• Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks like LangChain, LlamaIndex, or similar
• Experience with integration, automation, or MLOps platforms
• Active participation in developer communities through writing, speaking, or open-source contributions