Product Manager
MLabs
| Company | MLabs |
| Category | Product |
| Location | Shanghai |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 23 Jun 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (workable) |
Description
Location: Shanghai · Onsite On-Site | Full-time Compensation: ~$100K + equity We are hiring on behalf of our client, an innovative fin-tech organization who is seeking a high-caliber Product Manager to join its team onsite in Shanghai. The organization operates a cutting-edge quantamental investing platform that empowers investors to build, share, and remix financial playbooks. By integrating advanced financial modeling, visualization, quantitative strategy building, and real-time dashboard monitoring, the platform transforms complex ideas into live playbooks within minutes through a no-code interface. Built for collaborative intelligence, the platform allows individual financial research to compound into a shared, community-driven edge. In this role, the successful candidate will focus on positioning the platform as the premier AI-driven product within the financial vertical. This position requires end-to-end ownership of key product modules, including the AI harness and agent orchestration layer, trading execution systems, the collaborative playbook/remix ecosystem, and content distribution networks. The Product Manager will collaborate closely with engineering and design teams to deliver high-impact features from conception to deployment. Key Responsibilities Roadmap & Prioritization: Own the product roadmap and make critical prioritization decisions across all product surfaces, balancing power with simplicity, flexibility with reliability, and depth with breadth. AI & Agent Orchestration: Shape how natural language translates into a reliable financial agent harness, managing workflows from agent orchestration to data retrieval, visualization, backtesting, and trading execution. Ecosystem Architecture: Design and optimize the playbook system to serve as a highly composable content and distribution engine. User Optimization: Identify and resolve product friction points through deep personal usage, continuous user research, and rigorous data analysis. Cross-Functional Execution: Author detailed product specifications, collaborate with engineering and design to prototype and test features, and ensure seamless delivery. Requirements Professional Experience: Proven experience in product management, with a strong preference for individuals who have worked on AI agent products, fintech applications, trading systems, or User-Generated Content (UGC) platforms. Product Intuition: Exceptional systems-thinking capabilities with the ability to view the product holistically and isolate high-priority items. Technical & Execution Capability: A hands-on professional who prototypes, writes detailed specifications, tests, and ships features rather than solely coordinating tasks. AI Tool Proficiency: Advanced utilization of AI-native development tools (such as Claude Code, Cursor, etc.) to actively build and optimize workflows. Core Competencies: Exceptionally self-driven with a rapid learning curve, strong problem-solving instincts, and genuine curiosity regarding global financial markets. Language Skills: Professional fluency and clear communication skills in both English and Chinese. Location & Logistics: Ability to work full-time onsite in Shanghai. Candidates willing to relocate to Shanghai are welcome; however, please note that no relocation assistance will be provided. Preferred Qualifications: A background in quantitative finance or macroeconomics; prior experience within startups, one-person companies (OPC), or as an indie developer is highly advantageous. Benefits Competitive Compensation: An attractive base salary of approximately $100,000 USD per annum, commensurate with experience. Equity Component: Performance-aligned equity options offering significant upside potential within a high-growth sector. Professional Environment: The oppo
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