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Senior Product Manager – AI Products
MeridianLink. Lead the definition and delivery of AI-powered automation capabilities within a vertical SaaS platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI-powered automation initiatives within a SaaS environment, focusing on product strategy, user research, and agile methodologies. Proficient in collaborating with cross-functional teams to drive product development and ensure compliance with industry regulations.
Highest-signal resume keywords
Product Management ExperienceAI/ML Product DesignAgile Methodologies MasteryCustomer/User ResearchDigital Product Development
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI-Driven PrototypingModel IntegrationData ContractsPost-Launch MonitoringConversational AIGenAIAutomationAPI IntegrationUsability TestingFeedback Loops
Soft Skills
Problem-Solving SkillsEffective StorytellingCollaboration SkillsConstructive FeedbackPresentation Abilities
Tools & Technologies
SaaS PlatformsDevAI PracticesData Science ToolsEngineering Collaboration ToolsCompliance Management Systems
Industry Keywords
Loan OriginationAccount OpeningFCRAECOAFair LendingModel Risk ManagementResponsible AI PrinciplesBias MitigationQuality MetricsConsumer Lending Software
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Insurance coverage (medical, dental, vision, life, and disability)
- Flexible paid time off
- Paid holidays
- 401(k) plan with company match
- Remote work
- Bonus opportunity