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 in product management, including owning a developer-facing product or platform end-to-end—from defining the vision to shipping and iterating
- Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution)
- Experience driving adoption with external developers, including improving key stages of the funnel: discover → try → activate → scale
- Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows
- Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs)
- Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions
- Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability)
- Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed
Nice to Have
- 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.
