Senior Product Manager – AI Products

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

💵 $138 667 - $197 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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MeridianLink

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 1998

💳 Fintech

🏦 Banque

☁️ SaaS

💰 €485 000 000 Post-IPO Debt en 2021-11

Fintech • Banking • SaaS

MeridianLink est une entreprise de logiciels qui propose une plateforme cloud de prêt numérique et d'ouverture de compte de bout en bout pour les institutions financières. Sa plateforme configurable MeridianLink One inclut la gestion des prêts (consommation, non garanti, automobile, hypothécaire), l'ouverture de compte numérique, le financement sur le point de vente, les recouvrements, les données & rapports, et des services de conseil/analyse pour aider les banques et les coopératives de crédit à automatiser les processus, accélérer les décisions et améliorer les expériences client numériques. MeridianLink sert principalement les banques, les coopératives de crédit et les prêteurs hypothécaires à travers des solutions SaaS et un écosystème de partenaires.

Description

• Lead the definition and delivery of AI-powered automation capabilities within a vertical SaaS platform • Own the end-to-end product strategy and roadmap for AI automation features • Define measurable outcomes such as efficiency gains, error reduction, and decision accuracy • Align AI initiatives with product vision and revenue goals • Build business cases for R&D investment and identify automation opportunities across loan origination and account opening • Conduct discovery with lending operations teams, compliance officers, technology buyers, design partners, and early-access customers • Synthesize qualitative research, quantitative usage data, and competitive intelligence into product opportunities • Drive execution with engineering, data science, and design teams using agile and DevAI practices • Translate business needs into epics, user stories, acceptance criteria, and documentation • Lead rapid prototyping for early customer validation • Balance compliance, security, scalability, and technical feasibility • Partner with data scientists and ML engineers on model development, success metrics, and human-in-the-loop review • Coordinate with compliance, legal, and information security regarding FCRA, ECOA, fair lending, model risk management, and AI regulation • Own launch readiness, including go-to-market coordination, documentation, training, and customer communication • Track post-launch KPIs including automation rates, exception volumes, model drift, and business impact • Establish feedback mechanisms for edge cases and model errors, and translate findings into iteration cycles • Communicate product performance to leadership and stakeholders • Collaborate with Sales and Marketing on product pipeline development and revenue opportunities

🎯 Exigences

• 5+ years’ experience in product management • Proven success designing enterprise AI/ML products in a SaaS B2B environment • Experience conducting customer/user research and usability testing • Proficiency with AI-driven prototyping methods • Mastery of agile methodologies, processes, and artifacts • Understanding of or exposure to emerging DevAI practices • Strong problem-solving skills • Effective storytelling and presentation abilities • Excellent collaboration skills • Ability to give and receive constructive design feedback • Awareness of AI product design industry trends and emerging technologies • 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, and API integration • Familiarity with responsible AI principles, model interpretability, bias mitigation, and quality/accuracy metrics • Experience collaborating with Data Science and Engineering teams on training data, model evaluation, and feedback loops • Bachelor’s degree required • Computer science background preferred • Consumer or mortgage lending software experience is a plus • Must be legally authorized to work in the United States; application asks whether future sponsorship will be required

🏖️ Avantages

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

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