Jobs at MeridianLink

The Account Executive is responsible for managing and growing accounts through strategic planning, client collaboration, and ensuring a positive customer experience, while meeting sales goals.

Serve as first-line client support: respond to inquiries, document interactions, resolve issues using established procedures, escalate when needed, coordinate across departments, mentor Level I associates, and assist with support process improvements.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

Lead the rollout of a pricing and packaging program for MeridianLink, overseeing annual updates and ongoing pricing evaluations while collaborating across teams to optimize revenue and minimize customer loss.

Lead end-to-end MeridianLink Consumer/Opening implementations from kickoff through UAT and go-live. Build and maintain project timelines, run milestone meetings, track JIRA tickets, coordinate Implementation Analysts, manage risks, provide stakeholder updates, and transition projects to support.

Lead end-to-end delivery of cross-functional AI/ML and SDLC modernization initiatives. Plan and drive projects, manage risks and dependencies, run Agile rituals, embed AI across requirements, development, testing, and release, and use tooling (Jira/Confluence) and engineering metrics to ensure aligned, measurable outcomes.

Lead a cross-functional engineering team with hands-on architecture and coding. Mentor engineers, drive technical execution, improve delivery practices, and collaborate with Product and QA to deliver reliable, modern cloud-based AI platform solutions.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Build and maintain org-scale CI/CD, AI tooling, and sandbox/agent infrastructure. Own features end-to-end, drive adoption, instrument platform impact, mentor engineers, and ensure secure, observable, cost-controlled AI sandbox environments.

This role involves designing, developing, testing, and maintaining software solutions, collaborating with various teams while focusing on scalable and reliable engineering.

Lead the development of AI-powered automation in a SaaS platform, focusing on strategy, customer engagement, and cross-functional delivery while ensuring compliance and product performance tracking.

The Senior Product Manager will lead the AI platform's product strategy and roadmap, focusing on delivering foundational AI capabilities for internal and external teams while ensuring compliance and developer experience.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

The Senior HR Business Partner manages the full employee lifecycle, ensuring compliance with processes and policies. Responsibilities include employee relations, onboarding, project implementation, and collaborating with management to address HR issues.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Lead documentation strategy and team for a SaaS lending platform: design content taxonomy, manage authoring tools and publishing workflows, mentor writers, author complex admin/user guides, align documentation with product releases, and prioritize improvements based on user feedback and support data.

Build and maintain federated identity and authorization platform services for a multi-tenant SaaS environment. Implement integrations (OAuth/OIDC/SAML/JWT), design observable, fault-tolerant backend services in .NET or Python, use AI-assisted development tools, write tests and observability, participate in on-call and mentoring, and produce documentation and tooling to enable product team integrations.

Design intuitive, scalable B2B and B2B2C financial product experiences across the full design lifecycle. Create responsive prototypes and design-system components in Figma, collaborate with Product and Engineering, run usability testing, apply AI-assisted design tools, and ensure solutions meet business, technical, and regulatory constraints.

As a Product Manager, you'll manage the product roadmap and Go-To-Market strategies, maximize team output, analyze data for opportunities, and communicate customer needs across departments.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.