Define and lead enterprise AI architecture and governance, designing secure, scalable AI systems and intelligent automation for internal business functions. Translate business needs into production-ready solutions, establish data and platform capabilities, and guide implementation, operationalization, and organizational adoption.
The Client Support Specialist II acts as the primary point of contact for resolving customer inquiries and issues related to mortgage software. The role involves documenting interactions, escalating complex problems to appropriate departments, and mentoring junior staff members.
The Associate Implementation Analyst manages the full life cycle of client software deployments, ensuring timelines are met and client expectations are managed. They act as a liaison between clients and internal departments while providing product education and best practice recommendations.
Design, build, and maintain scalable ETL pipelines and data platforms for batch and real-time processing, analytics, and business insights. Lead data infrastructure decisions, ensure data quality, governance, security, and compliance, and collaborate with stakeholders to turn business needs into reliable data models and workflows.
The Data Analytics Consultant will analyze credit data and loan performance to help financial institutions optimize underwriting and decisioning strategies. They will lead client engagements, interpret performance trends, and provide actionable recommendations to support responsible lending growth.
The Key Account Director will drive revenue growth by acquiring new customers and expanding existing relationships within the mortgage industry. They are responsible for managing complex sales cycles, coordinating RFPs, and providing market insights to the product team.
The role involves building and maintaining integration features, RESTful APIs, and event-driven services across both modern and legacy .NET environments. You will own the end-to-end development lifecycle, including testing, documentation, and collaborating on the enterprise integration platform strategy.
The Data Analyst will collect and analyze data from various sources to provide actionable insights and reporting for business decision-makers. They will also design intuitive data visualizations and maintain business intelligence tools to support operational improvements.
The AI Engineer will build the trust and explainability layer for the MeridianLink One platform, including tracing, evaluation, and explanation capabilities for multi-agent workflows. They will also develop customer-facing primitives to ensure transparency and safety in AI-driven lending and account-opening processes.
Lead the implementation of complex software systems while influencing architecture and modernization initiatives. Mentor engineers through code reviews and collaborate across product, platform, and DevOps teams to ensure operational excellence.
The Implementation Project Manager leads end-to-end delivery of mortgage software implementations, serving as the primary point of contact for customers. They are responsible for project planning, risk management, and coordinating cross-functional resources to ensure successful go-live transitions.
The Director of Customer Sales is responsible for managing key accounts, scaling bookings, and overseeing the strategic direction of the Account Management team. They will also handle revenue forecasting, resource allocation, and the professional development of their staff to ensure corporate objectives are met.
The Business Development Representative is responsible for identifying and qualifying sales opportunities through inbound leads and proactive outbound outreach. They will partner with Account Executives to nurture prospects and move qualified opportunities through the sales pipeline.
The Senior Product Manager will own the roadmap and delivery for a specific area of the mortgage lending platform, partnering with cross-functional teams to drive high-impact improvements. They will lead continuous discovery, define product requirements, and monitor KPIs to ensure the platform remains competitive and meets customer needs.
The Software Engineer is responsible for designing, developing, and maintaining scalable software solutions across the company's products and platform. This role involves collaborating with cross-functional teams to implement features, manage CI/CD pipelines, and ensure operational reliability.
The Senior Database Engineer will architect, deploy, and optimize enterprise data infrastructure across multi-cloud and on-premises environments. Responsibilities include managing database performance, ensuring high availability, and implementing robust security and disaster recovery protocols.
The Senior Site Reliability Engineer will manage AWS infrastructure, databases, and backup systems while ensuring platform scalability and security. They will also lead production monitoring, incident response, and the maintenance of infrastructure as code.
The Financial Analyst is responsible for reviewing financial results, performing variance analysis, and updating business forecasts to drive decision-making. They will also build financial models, manage reporting systems, and consolidate companywide financial statements and KPIs.
You will own data-heavy features from design through production, including managing data models, pipelines, and multi-tenant systems. Additionally, you will integrate AI agents into the engineering workflow to improve implementation efficiency and maintain system reliability.
You will own the development of member- and credit-union-facing features from conception through production while managing infrastructure and data volume. Additionally, you will partner with design and stakeholders to build reliable financial products using AI-assisted engineering workflows.
The Senior Site Reliability Engineer will own the reliability, scalability, and observability of critical financial SaaS infrastructure. Responsibilities include designing SLOs, managing incident response, and architecting cloud infrastructure using automation and infrastructure-as-code.
You will design, develop, and maintain AI platform components such as model serving layers, retrieval infrastructure, and evaluation pipelines. You will also collaborate with product engineering teams to integrate AI capabilities while establishing standards for reliability, safety, and compliance.
The UX Designer will create intuitive, scalable digital experiences for B2B enterprise users in the financial services and lending space. This includes managing the full design lifecycle from discovery and prototyping to final specifications and implementation within a design system.
