Jobs at MeridianLink

Contract role supporting Talent Acquisition with multi-channel technical sourcing, high-volume interview scheduling across time zones, agency relationship management, and meticulous ATS documentation. Build candidate pipelines, coordinate complex interview logistics, provide candidate-facing communications, track metrics, and identify process improvements to ensure smooth, candidate-first hiring operations.

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.

Own recurring sales reporting, maintain Salesforce data integrity, produce executive and board-level pipeline and bookings metrics, deliver ad hoc analyses, support Salesforce enhancements, and drive process improvements to scale reporting and reduce manual work.

Manage end-to-end client implementations of MeridianLink software, lead onboarding and integrations, coordinate cross-functional teams, ensure on-time delivery, drive adoption, educate clients on advanced capabilities, and translate feedback to Product.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

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 a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Design, deploy, and optimize SQL Server, PostgreSQL, and MongoDB databases across cloud and on-premises; tune queries and indices; manage backups, DR, failover testing; secure and monitor systems; handle migrations, replication, clustering, and troubleshooting.

Perform FP&A analyses including variance analysis, forecasting, budgeting, and financial modeling. Consolidate company-wide reports, manage source data queries, build Anaplan models, produce performance reports and recommendations to support business decisions and planning.

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.

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

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.

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.

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.

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.

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

Consult with financial institutions to analyze consumer credit and loan performance, evaluate underwriting and decision rules, develop data-backed lending recommendations, produce client reports/dashboards, and lead engagements using MeridianLink decisioning platforms and BI tools.

Lead end-to-end development of AI-native financial products for credit union members. Use and improve AI agents, build features across a TypeScript stack, integrate with third-party APIs, monitor production, and partner with design and stakeholders to deliver reliable, scalable solutions.

Design, build, and run data-heavy features for financial products, improve data models, pipelines, migrations, and multi-tenant systems. Work in a TypeScript monorepo, operate serverless AWS infrastructure, integrate LLM APIs, monitor production, and lead pragmatic technical decisions.

Lead UX Designer will lead product design across member journeys and internal tools from discovery through prototypes, testing, and shipped experiences. Own and evolve the design system (responsive, accessibility, localization, dark mode), produce clear specs for AI agents and engineers, review shipped work, iterate from user feedback, and partner closely with engineers, customers, and stakeholders.