Product Manager, WorkBuddy Enterprise — Agent Platform

re-zoo-me; Singapore; On-site; SGD 140,000 - 200,000; Full time

Job summary

re-zoo-me is seeking a Product Manager, WorkBuddy Enterprise to own the enterprise roadmap and customer success strategy for WorkBuddy, CodeBuddy, and Managed Agents across global markets.

You will drive go-to-market and ecosystem strategies, establish evaluation and telemetry infrastructure, partner with sales for enterprise delivery templates, and ensure data residency, tenant isolation, and audit logging in line with regional security standards.

Qualifications

• Six years of product management experience.
• At least three years in AI platforms, cloud platforms, developer tools, or enterprise SaaS.
• Proven track record owning platform products for enterprise customers.
• Experience with ARR, gross margin, NRR, and paid conversion metrics.
• Knowledge of AI/LLM products from major providers.
• Familiarity with security/compliance in enterprise environments.

Responsibilities

• Define and own the enterprise product roadmap and go-to-market strategy for WorkBuddy Enterprise across international markets.
• Lead the ecosystem and integration strategy for enterprise Skills, MCP, and Connector frameworks.
• Establish eval infrastructure, including eval harnesses, guardrails, telemetry, and regression testing.
• Partner with sales to build structured key-account delivery templates and best practices.
• Manage product cost structures, resource planning, and compliance readiness including data residency and audit logging.

Skills

Product management

AI platforms

Enterprise SaaS

Go-to-market

Strategic planning

Bilingual English/Chinese

Job description

About the job

Position Overview

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.

Key Responsibilities

• 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.

Key Requirements

• 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.