Senior Product Manager – AI Products

🕒 Maio 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $94.667 - $161.400 / ano

⏰ Tempo Integral

🟠 Sênior

✅ Gerente de Produto

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MeridianLink

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1998

💳 Fintech

🏦 Bancário

☁️ SaaS

💰 $485.000.000 Post-IPO Debt em 2021-11

Fintech • Banking • SaaS

A MeridianLink é uma fornecedora líder de soluções SaaS para instituições financeiras, especializada em sistemas de originação de empréstimos e tecnologias de transformação digital. Sua plataforma fim-a-fim melhora as experiências digitais através da integração com sistemas de gestão de empréstimos hipotecários (LOS), soluções para abertura de contas de depósito e mais. Os sistemas em nuvem da MeridianLink aprimoram a eficiência no processamento de empréstimos e cobranças, na tomada de decisões orientadas por dados e na gestão de contas. A empresa colabora com parceiros para expandir seu alcance de mercado e impulsionar o crescimento na indústria de fintech. Com mais de 25 anos de experiência, a MeridianLink é dedicada a apoiar bancos, cooperativas de crédito e outros provedores de serviços financeiros através de tecnologia e inteligência empresarial.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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