Jobs at MeridianLink

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.

Drive revenue growth by acquiring new mortgage-industry customers and expanding existing accounts. Manage complex enterprise sales cycles, build a qualified pipeline, lead RFPs and stakeholder negotiations, identify cross-selling opportunities, and provide mortgage-market insights to influence product strategy.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

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.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

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.

Leads end-to-end enterprise software implementation projects for mortgage and core banking solutions, from kickoff through testing, go-live, and transition to support. Manages project plans, milestones, resources, customer communications, risks, escalations, deliverables, dependencies, and status reporting. Coordinates implementation analysts and cross-functional teams, maintains portfolio health, administers project systems, and improves project management processes and documentation.

Leads the Account Management and Customer Sales teams, overseeing sales strategy, revenue growth, forecasting, quotas, territories, resource allocation, and client relationships. Drives new business and expansion within existing accounts while managing departmental objectives, P&L performance, hiring, coaching, cross-functional collaboration, and executive stakeholder communication.

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.

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.

Designs, develops, tests, and maintains scalable software features and services across backend and frontend systems. Collaborates on architecture with engineering, product, QA, and DevOps teams; contributes to CI/CD, monitoring, testing, and operational reliability. Requires C#/.NET and API expertise, cloud platform familiarity, Docker, AI development experience, and strong communication and problem-solving skills.

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.

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.

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

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.