Senior Product Manager – AI Platform

🕒 June 12

🇺🇸 United States – Remote

💵 $94.7k - $161.4k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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MeridianLink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

Fintech • Banking • SaaS

MeridianLink is a leading provider of SaaS solutions for financial institutions, specializing in loan origination systems and digital transformation technologies. Their end-to-end platform enhances digital experiences through integration with mortgage LOS, deposit account opening solutions, and more. MeridianLink's cloud-based systems improve efficiency in loan processing and collections, data-driven decision-making, and account management. The company collaborates with partners to expand market reach and drive growth in the fintech industry. With over 25 years of experience, MeridianLink is dedicated to supporting banks, credit unions, and other financial service providers through technology and business intelligence.

📋 Description

• Own the end-to-end product strategy and roadmap for the AI platform layer. • Partner with executive leadership to align AI initiatives with company-wide product vision and revenue goals. • Build business cases justifying R&D investment based on expected benefits. • Partner with principal engineers and ML infrastructure leads to make informed build-vs-buy-vs-partner decisions on foundational AI capabilities • Establish and govern platform-level standards: API versioning policies, model lifecycle management, prompt versioning, and observability requirements • Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product strategy and development. • Treat internal R&D teams as your primary customers. Conduct structured discovery with feature teams to understand their AI integration pain points, latency requirements, and data access needs. • Define and own the developer experience for consuming the AI platform: API contracts, SDK design, documentation standards, sandbox environments, and onboarding flows. • Establish a platform roadmap governance process: intake, prioritization, and communication of platform changes to dependent teams. • Build feedback loops with consuming teams post-release to detect friction, integration failures, and unmet capability needs early.

🎯 Requirements

• 5+ years’ experience in product management, with proven success designing enterprise AI/ML products in a SaaS B2B environment. • At least 3 years in a platform, infrastructure, or developer tools • Experience conducting customer/user research, usability testing, and translating insights into product strategy. Proficiency with AI-driven prototyping methods. • Strong organizational and multi‑tasking abilities, capable of managing multiple projects, priorities, and communication channels in a fast‑paced environment • Mastery of agile methodologies, processes, artifacts. Understanding exposure to emerging DevAI practices. • Strong problem-solving skills • Effective storytelling and presentation abilities • Excellent collaboration skills within and across teams • Ability to give and receive constructive design feedback • Awareness of industry trends, emerging technologies, and best practices in AI product design. • Demonstrated track record of taking AI features from concept to production—including model integration, data contracts, and post-launch monitoring • Experience with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration

🏖️ Benefits

• Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • Paid holidays • 401(k) plan with company match • Remote work