Product Manager | Mandarin-speaking | Remote (Portland-based) | Competitive Salary + Benefits | Tech

The Company

A high-growth technology organization operates at the intersection of advanced software, data, and digital commerce. This ambitious team is building sophisticated tools that help modern businesses scale more efficiently, combining automation with strategic human insight. With a strong emphasis on learning, accountability, and thoughtful execution, the organization values people who thrive in fast-moving environments and take ownership of meaningful outcomes.

The Role

They are seeking an AI Product Manager to design and deliver intelligent product capabilities that sit at the intersection of user needs, machine learning, and business strategy. This role owns the development of AI-powered features ranging from optimization and recommendations to reporting intelligence, automated workflows, and emerging generative experiences.

This position is well suited for someone who enjoys working hands-on with technical teams while staying deeply connected to real customer problems. The role partners closely with engineering, data science, and design to ensure AI systems deliver meaningful, trusted outcomes.

The Responsibilities

AI Product Strategy

• Define and evolve the roadmap for AI-driven functionality, including prediction models, optimization systems, scoring frameworks, and insight-generation tools.
• Translate complex customer challenges into machine learning opportunities, thoughtfully balancing automation with human oversight.
• Collaborate with data science, engineering, and design to shape explainable and reliable AI behavior.

Cross-Functional Delivery

• Work closely with engineering, data science, design, and operations teams to bring AI products from concept to production.
• Align business partners, go-to-market teams, and leadership through clear priorities, metrics, and product narratives.
• Lead discussions around feasibility, including data readiness, algorithmic tradeoffs, and performance constraints.

Model and Data Lifecycle

• Partner with data science to define data needs, training approaches, evaluation methods, and success criteria for models.
• Design and run experiments such as A/B tests, offline evaluations, and iterative model improvements.
• Establish feedback loops between users, models, and outcomes to drive continuous improvement.

User Experience and Adoption

• Ensure AI features are easy to use, dependable, and transparent for both customers and internal teams.
• Shape workflows, interfaces, and explanations that build trust in AI-driven recommendations.
• Balance automation with appropriate configurability, safeguards, and override mechanisms.

Product Execution

• Own product documentation including requirements, specifications, user stories, and acceptance criteria.
• Prioritize initiatives based on customer impact, data opportunity, technical feasibility, and strategic value.
• Track success using metrics such as accuracy, lift, ROI, adoption, latency, and user satisfaction.

The Requirements

• Bachelor’s degree in Computer Science, Engineering, AI/ML, Business, or a related field.
• 2–5 years of product management experience, preferably working with data- or ML-driven products.
• Proven ability to deliver products end-to-end in technical, data-rich environments.
• Solid understanding of machine learning concepts including model training, evaluation, prediction systems, and optimization logic.
• Familiarity with data pipelines, feature engineering, and experimentation frameworks.
• Experience working in Agile environments with engineering and data science teams.
• Strong communication skills with the ability to explain complex AI concepts to non-technical audiences.
• Analytical mindset with experience using SQL, dashboards, or data analysis tools
• Mandarin language skills to support cross-regional collaboration.

Preferred Qualifications

• Experience in advertising technology, marketing platforms, retail media, or demand-side systems.
• Exposure to generative AI, large language models, agent-based workflows, or retrieval-augmented systems.
• Experience designing explainability, trust, safety, or model governance features.

Apply Now

This role offers the chance to build practical AI products that directly influence customer outcomes at scale. If they enjoy solving complex problems, collaborating across disciplines, and shaping how AI is used responsibly in real-world systems, they are encouraged to apply and be part of what comes next.

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