Associate AI Product Manager

About the job

Our client is a leading, institutional-grade financial technology and digital infrastructure enterprise (1,000+ employees) modernizing intelligent financial workflows, automated risk compliance, and enterprise AI-driven market intelligence solutions. We are seeking an ambitious, highly strategic Associate AI Product Manager (2–4 years experience) to drive their machine learning product lifecycle efforts. This associate-level role is a high-impact career accelerator, focusing on end-to-end product requirements (PRDs), model deployment optimization, and cross-functional financial feature strategy.

Why Join Us

• Product Leadership Track: Benefit from clear avenues to roadmap ownership and ongoing strategic development coaching from senior product executives and fintech veterans.
• Autonomous Feature Ownership: Move rapidly from concept design to high-impact execution, leading the continuous deployment of core AI modules, API capabilities, and financial analytics dashboards.
• Cutting-Edge Fintech Stack: Work daily with premier collaborative tech configurations and modern product/data ecosystems (Jira, Confluence, Figma, Amplitude, Snowflake, and advanced LLM orchestration infrastructures).

Responsibilities

• PRD Strategy & Feature Execution: Author and own comprehensive Product Requirement Documents (PRDs) and roadmaps that translate complex financial workflows—such as automated fraud detection, algorithmic risk analysis, or conversational financial assistants—into high-performing engineering backlogs.
• Cross-Functional Leadership: Partner daily with AI Research Scientists, Data Engineers, and Backend Developers to navigate complex technical trade-offs, optimize token/model latency constraints, and ensure predictable feature delivery timelines.
• Data-Driven Optimization: Direct the product validation process by analyzing feature usage metrics via Amplitude/Mixpanel, tracking model prediction accuracy, and translating user behavioral insights into continuous prompt or product iterations.
• Regulatory & Compliance Alignment: Collaborate with internal risk, compliance, and legal stakeholders to ensure that deployed AI models adhere to strict global financial security frameworks, data privacy rules (GDPR/CCPA), and fintech compliance standards.

Qualifications

• Education: Bachelor’s degree in Computer Science, Finance, Quantitative Economics, Data Science, or a related technical discipline.
• Experience: 2 to 4 years of proven professional software product management experience, specifically within financial technology, machine learning platforms, or enterprise digital banking ecosystems.
• Technical Tooling: Solid understanding of machine learning/LLM capabilities (fine-tuning, prompt engineering, vector databases) paired with high proficiency utilizing agile management software (Jira/Confluence) and data manipulation tools (SQL).
• Language Skills: Bilingual proficiency in English and either Korean, Mandarin, or Japanese is highly preferred and will be heavily utilized given our deeply integrated global client portfolio.
• Mindset: Highly analytical, receptive to tactical business critique, and possessing an empathetic approach to solving financial user friction and complex data visualizational workflows.

Job Location & Details

• Location: United States (100% Remote / Work From Home)
• Work Model: Remote
• Employment Type: Full-Time, Permanent
• Salary Range: $130,000 – $160,000 base structure + Annual Performance Bonus, Equity Shares & Corporate Health Benefits.