Senior Product Manager – AI Products

🕒 May 22

🇺🇸 United States – Remote

💵 $94.7k - $161.4k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 AI automation features within the platform. • Define measurable outcomes (efficiency gains, error reduction, decision accuracy) and hold the roadmap accountable to them. • 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 revenue opportunities. • Identify high-value automation opportunities across the loan origination and account opening lifecycles. • 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. • Conduct deep discoveries with lending operations teams, compliance officers, and technology buyers to surface unmet needs. Dig beyond stated needs to define innovative solutions to customer challenges. • Synthesize qualitative research, quantitative usage data, and competitive intelligence into clear product opportunities. • Build and maintain a robust feedback loop with design partners and early-access customers during feature development. • Drive execution with engineering, data science, and design teams using agile practices and emerging Dev AI practices. • Translate business needs into clear and actionable epics, user stories, acceptance criteria, and supporting documentation. Lead rapid prototyping exercises to speed time to market and enable early customer validation. • Ensure requirements align with strategic business goals while balancing compliance, security, scalability, and technical feasibility. • Partner with data scientists and ML engineers to scope model development, define success metrics, and establish human-in-the-loop review processes. • Coordinate with compliance, legal, and information security to ensure AI features meet regulatory expectations (FCRA, ECOA, fair lending, model risk management, emerging regulation governing AI use in fintech). • Own launch readiness: go-to-market coordination, documentation, training, and customer communication. • Define and track KPIs for AI features post-launch: automation rates, exception volumes, model drift indicators, and business impact. • Establish feedback mechanisms that surface edge cases and model errors quickly and translate them into iteration cycles. • Communicate product performance transparently to leadership and stakeholders. • Collaborate with Sales and Marketing to track product pipeline development and revenue opportunity. Correct course where adoption falls short of expectation.

🎯 Requirements

• 5+ years’ experience in product management, with proven success designing enterprise AI/ML products in a SaaS B2B environment. • 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 of/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. • Expertise in digital product development, including conversational AI, GenAI, automation, and data-driven platforms. • Familiarity with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration. • Familiarity with responsible AI principles, model interpretability, bias mitigation, and quality/accuracy metrics required for production grade AI systems. • Experience collaborating with Data Science and Engineering teams to define training data needs, evaluate model performance, and implement iterative feedback loops. • Bachelor’s degree required; MBA preferred. Computer science background (education or other demonstrated proficiency) preferred.

🏖️ Benefits

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