Product Manager at MLabs

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

100000.0

Posted On

23 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI Agent Orchestration, Fintech, Trading Systems, UGC Platforms, Systems Thinking, Prototyping, Data Analysis, Roadmap Prioritization, English Fluency, Chinese Fluency, Quantitative Finance, Macroeconomics, AI-native Development Tools, Product Specification Writing, User Research

Industry

IT Services and IT Consulting

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. 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. 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 opportunity to work on sophisticated AI-driven financial technology alongside a highly technical and driven team. Interview Process The interview framework for this position consists of three structured interview stages, designed to evaluate technical alignment, product intuition, and cultural fit. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

The Product Manager will own the product roadmap and end-to-end delivery of key modules including AI agent orchestration, trading execution, and the collaborative playbook ecosystem. They will collaborate with engineering and design teams to translate natural language into reliable financial agent workflows.