Senior Product Manager – AI Products

🕒 vor 2 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $138.667 - $197.000 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von MeridianLink ↗der Karriereseite von MeridianLink, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 2 Tagen

Noch offen auf der Website von MeridianLink. Geprüft vor 1 Stunde.

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MeridianLink

501 - 1000 Mitarbeiter

Gegründet 1998

💳 Fintech

🏦 Bankwesen

☁️ SaaS

💰 €485.000.000 Post-IPO Debt im 2021-11

Fintech • Banking • SaaS

MeridianLink ist ein Softwareunternehmen, das eine cloud-basierte, umfassende digitale Kreditvergabe- und Kontoeröffnungsplattform für Finanzinstitute bietet. Die konfigurierbare MeridianLink One-Plattform beinhaltet Kreditvergabe (Privat-, Unbesicherte-, Auto-, Hypothekarkredite), digitale Kontoeröffnung, Point-of-Sale-Finanzierung, Inkasso, Daten & Berichterstattung sowie Beratung/Analyse, um Banken und Kreditgenossenschaften bei der Automatisierung von Prozessen, der schnelleren Entscheidungsfindung und der Verbesserung der digitalen Kundenerfahrungen zu unterstützen. MeridianLink bedient hauptsächlich Banken, Kreditgenossenschaften und Hypothekengeber durch SaaS-Lösungen und ein Partner-Ökosystem.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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