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Coberon Chronos seeks a Staff Product Manager to lead developer platforms. This role involves defining the product vision for AI and LLM-focused products, collaborating with cross-functional teams, and enhancing developer experiences. Ideal candidates will have over 7 years of product management experience, particularly with developer-facing products and AI technologies.
Responsibilities include developing insights through user research, driving adoption metrics, and establishing product strategies. Join a company recognized for fostering a flexible and innovative work environment.
Our client is a leading enterprise integration and automation platform (iPaaS) that helps large organizations unify their data, applications, processes, and AI into a single, governed platform. Trusted by a large share of the Fortune 500, their cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, they provide the trusted foundation for organizations to automate with confidence and operationalize AI across the business.
Our client is looking for a Staff Product Manager for Developer Platforms who doesn't just ship features — but defines what should exist in the first place. This role owns the end‑to‑end experience for developers building on the platform: from first API call to production‑scale agent systems.
Qualifications / Experience / Technical Skills
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 such as LangChain, LlamaIndex, or similar
Experience with integration, automation, or MLOps platforms
Active participation in developer communities through writing, speaking, or open‑source contributions
Soft Skills / Personal Characteristics
A strategic thinker who can connect technology with business impact and craft a compelling product narrative
Excellent leadership and communication skills, with the ability to influence and align cross‑functional teams
Comfortable with ambiguity and rapid iteration, thriving in fast‑paced, innovative environments
Define and champion the product vision, strategy, and roadmap for the client'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 stay 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