Jobs at MeridianLink

Owns commercial and relationship management for existing customers, driving renewals, retention, expansions, cross-sell, and upsell. Develops account strategies, manages opportunities and forecasts in Salesforce, leads consultative sales motions, monitors account health and churn risk, communicates product value, and coordinates internal teams to resolve escalations and support customer adoption.

Analyzes historical and projected financial results, performs variance analysis, updates forecasts, supports budgeting and strategic planning, and develops financial models in Anaplan. The role consolidates companywide reporting, manages source data queries, prepares performance reports, conducts ad hoc analyses, and provides recommendations for financial plans, acquisitions, cost analysis, and operating forecasts.

Own the strategy, roadmap, discovery, delivery, launch, and measurement of AI-powered automation products for lending workflows. Lead Communication Agent and Doc Agent initiatives, partnering with engineering, data science, design, compliance, legal, security, sales, and marketing. Define outcomes, requirements, model metrics, human-in-the-loop processes, regulatory alignment, customer feedback loops, and post-launch performance monitoring.

Provides first-line technical and customer support for MeridianLink mortgage clients. Responds to inquiries, documents cases, resolves issues, coordinates escalations, communicates updates, supports procedures and training, and mentors junior specialists. May represent the team in meetings when a supervisor is unavailable.

Leads client software deployments from initial implementation through subsequent releases. Gathers credentials, requirements, and documentation; prepares and reviews product workbooks; troubleshoots third-party issues; supports configuration validation and UAT activities; and helps clients understand software capabilities and best practices. Coordinates project resources and timelines while acting as a liaison between clients and internal departments, including Product.

Designs, builds, and maintains scalable ETL and data processing pipelines supporting analytics, forecasting, risk, and customer insights. Leads complex SQL development, data modeling, governance, quality, lineage, security, and compliance. Partners with engineering, finance, sales, compliance, product, analysts, and data scientists to translate requirements into reliable workflows. Evaluates emerging technologies, leads proof-of-concepts, and develops automated solutions using Python, Spark, Databricks, cloud platforms, orchestration tools, and modern data warehouses.

Leads the architecture and implementation of secure, scalable AI and intelligent automation solutions across internal business functions. Defines AI reference architectures, governance, data integration, LLM orchestration, agentic workflows, MLOps and LLMOps capabilities. Designs APIs, enterprise integrations, decision-support systems, document processing, and workflow automation. Partners with business and technology stakeholders to identify opportunities, establish roadmaps, ensure reliability and compliance, and drive organizational adoption of AI-enabled solutions.

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.

Leads the implementation of complex software systems and services, influences architecture and modernization, mentors engineers, and supports production reliability. Partners with Product, QA, and DevOps teams to deliver scalable cloud-native applications. The role requires strong full-stack expertise across C#, .NET, React, TypeScript or JavaScript, SQL, APIs, distributed systems, CI/CD, and AI development methodologies, along with the ability to independently lead complex technical initiatives.

Generate qualified sales opportunities through inbound lead follow-up and targeted outbound outreach. Identify and qualify prospects, uncover business needs, nurture relationships, educate buyers, address objections, and partner with Account Executives to advance opportunities. Maintain accurate CRM activity records while tracking market trends, competitors, and financial services developments. Success depends on producing sales-accepted leads, building prospect trust, and improving conversion performance in a metrics-driven environment.

Own the roadmap and end-to-end delivery for a mortgage lending product area. Lead customer discovery, define requirements, prioritize backlogs, manage agile delivery, and measure product KPIs. Collaborate with engineering, design, sales, customer success, compliance, and financial institution partners. Drive API-first experiences and explore AI/ML, automation, and real-time data capabilities while incorporating mortgage lending regulations and market trends.

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, 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.

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 reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.