Tencent

Product Manager, WorkBuddy Enterprise — Agent Platform

In short

This role owns the enterprise roadmap, go-to-market strategy, and customer success for Tencent's WorkBuddy Enterprise platform (WorkBuddy, CodeBuddy, Managed Agents), covering architecture through production delivery for key enterprise customers. It's posted by Tencent's Cloud & Smart Industries Group, driving competitive positioning in the global enterprise AI market. The role demands 6+ years of product management experience (3+ in AI/cloud platforms or enterprise SaaS), deep knowledge of LLM products and agent orchestration, enterprise platform compliance expertise (SSO, SCIM, RBAC, data residency), and professional fluency in both English and Chinese.

Business Unit
Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.
What the Role Entails
The Product Manager, WorkBuddy Enterprise — will own the enterprise roadmap and customer success strategy for the WorkBuddy Enterprise platform, including WorkBuddy, CodeBuddy, and Managed Agents. This role drives the platform's competitive positioning in the global enterprise AI market, covering the full lifecycle from architectural design to production-grade delivery for key enterprise customers.
•Define and own the enterprise product roadmap and go-to-market strategy for WorkBuddy Enterprise, driving platform competitiveness and customer adoption across international markets while aligning with business growth and commercial targets.
•Lead the ecosystem and integration strategy for enterprise Skills, MCP, and Connector frameworks, enabling seamless interoperability across third-party, customer-built, and ecosystem services to support enterprise agent and digital employee deployments.
•Establish reliability and evaluation (Eval) infrastructure, including eval harnesses, agent safety guardrails, trajectory replay, production telemetry, and automated regression testing, to elevate Proof of Concept success rates to production-grade standards.
•Partner with sales and solutions teams to build a structured key-account delivery system, distilling implementation experience from top enterprise customers into reusable templates and best practices that accelerate time-to-value.
•Manage product cost structures, resource planning, and compliance readiness across deployments, ensuring enterprise-grade data residency, tenant isolation, audit logging, and alignment with regional security and certification requirements.
Who We Look For
•At least six years of product management experience, including at least three years in AI platforms, cloud platforms, developer tools, or enterprise SaaS, with a proven track record of independently owning platform products (PaaS, SDK, API, or SaaS) for enterprise customers.
•Demonstrated commercial acumen with hands-on experience across the full product lifecycle, from product definition and design to go-to-market optimisation, including familiarity with ARR, gross margin, net revenue retention (NRR), and paid conversion metrics.
•Deep understanding and practical use of AI and large language model products from providers such as Anthropic, OpenAI, Google, AWS, and Microsoft, together with knowledge of agent orchestration engineering and product design trade-offs.
•Strong enterprise platform knowledge, including SSO, SCIM, RBAC, data residency, tenant isolation, and audit logging, with familiarity with domestic and international security compliance frameworks and certification processes.
•Professional proficiency in English and Chinese, both written and verbal, is required to lead customer-facing engagements and product discussions in English with international enterprise clients, and to collaborate effectively with Chinese-speaking R&D, product, and commercial stakeholders at China headquarters.

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