The role focuses on sourcing passive and active talent across technical and business disciplines while managing complex interview logistics. It also involves overseeing third-party agency partnerships and maintaining meticulous candidate records within the ATS.
MeridianLink
24 Remote Job Openings at MeridianLink
Lead the technical execution and coordination of an agile engineering team while remaining hands-on with coding and architecture. Partner with Product and QA teams to execute roadmaps and improve operational reliability and engineering standards.
Lead the technical documentation strategy and manage a team of writers to create comprehensive guides for a lending platform. This includes designing content structures, managing authoring tools, and partnering with product and engineering teams to align documentation with release cycles.
The Implementation Analyst manages the end-to-end lifecycle of client software deployments to ensure successful launches and long-term adoption. They act as a trusted advisor, coordinating between clients and internal departments to resolve challenges and optimize platform utilization.
Design, build, and maintain scalable data pipelines and products to ensure high-quality data delivery across the organization. Collaborate with cross-functional stakeholders to implement data models and optimize batch and real-time ingestion processes.
Acts as the highest technical escalation point within support, bridging the gap between clients and engineering through deep technical analysis. Responsible for triaging Jira tickets, performing root cause analysis via code and log inspection, and mentoring lower-tier support analysts.
The Staff Platform Engineer serves as the primary technical authority for integration architecture and API design across multiple product lines. They are responsible for defining standards, leading technical due diligence, and building shared integration infrastructure to connect internal and external systems.
Build and maintain shared CI/CD infrastructure, AI development tooling, and sandbox environments to improve engineering productivity. Drive the adoption of AI-native development pipelines and agent infrastructure across R&D teams.
Own the end-to-end product strategy and roadmap for the AI platform layer, focusing on foundational capabilities like model serving and data pipelines. Establish AI governance, compliance standards for the lending industry, and optimize the developer experience for internal R&D teams.
Oversees the full employee lifecycle and manages employee relations programs to ensure legal compliance and systematic resolution of concerns. Acts as a strategic partner to management while designing and implementing HR projects and policies.
Build and maintain foundational systems for identity, authentication, and authorization across a multi-product SaaS platform. Implement backend service integrations and leverage AI-assisted workflows to accelerate software design and delivery.
Lead the technical execution and coordination of an agile engineering team while remaining hands-on with coding and architecture. Focus on mentoring engineers, improving delivery practices, and partnering with Product and QA to execute the roadmap.
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.
Design and optimize user experiences for digital financial products, specifically focusing on online loan and bank account applications. Collaborate with cross-functional teams to implement AI-assisted design workflows and scalable design systems.
Lead the strategy and delivery of AI-powered automation capabilities within a vertical SaaS platform for financial services. Translate complex lending workflows into scalable product experiences while collaborating with engineering, data science, and compliance teams.
Lead the implementation of complex software systems and influence architecture and modernization initiatives. Provide technical leadership through mentoring engineers and collaborating with Product, QA, and DevOps teams.
The role involves designing, developing, and maintaining scalable software solutions and product features in a cloud-based environment. Responsibilities include collaborating on technical architecture and contributing to CI/CD pipelines and operational reliability.
Lead the design and delivery of predictive solutions such as automated underwriting and risk scoring for financial institutions. Manage complex datasets to build, test, and deploy machine learning models that optimize lending operations.
Design and build curated data structures, including vector stores, feature stores, and graph databases, to support AI and ML applications. Lead data discovery efforts to identify trends in lending and account-opening data to inform business and AI use cases.
The Principal Data Architect will design and implement the end-to-end enterprise data architecture, including conceptual, logical, and physical models. They will lead the lakehouse strategy on Azure Databricks and establish standards for data integration, governance, and lineage.
The Senior Director will lead the rollout of a new pricing and packaging program while establishing repeatable processes for ongoing pricing optimization. They will collaborate across departments to manage annual price updates, competitive intelligence, and monetization frameworks for new product features.
The VP of Business Systems will lead enterprise IT strategy and drive the company's internal AI transformation across all business functions. They are responsible for managing the enterprise technology stack, IT governance, and the IT service desk to ensure scalable and efficient operations.
The Staff Software Engineer will design and build foundational AI infrastructure to support scalable, customer-facing AI capabilities across credit union software products. They will lead architectural strategy, mentor engineering teams, and ensure production-grade AI systems meet financial compliance and security standards.
The Product Manager will oversee the product roadmap, pricing, and go-to-market strategy while acting as a liaison between business requirements and engineering. They are responsible for maximizing development team output within a scrum framework and analyzing market data to identify new product opportunities.