MeridianLink

Full-stack Engineer

• Deliver features end-to-end with limited guidance
• Independently identify edge cases and failure modes within the scope of assigned work
• Write clean, maintainable code and participate actively in code review
• Proactively surface blockers or ambiguities
• Build and extend platform services that manage federated identity, authentication flows, and authorization enforcement
• Implement integrations with the centralized identity platform, including token handling, session management, user provisioning, and tenant configuration
• Support product teams through their integration process
• Design and implement backend service integrations using REST APIs, event-driven messaging
• Participate in API design reviews

Software Engineer III – Platform Services

Product Designer

• Design, prototype, and test user experiences for digital financial products, with a focus on optimizing online loan and bank account applications.
• Create intuitive, visually engaging, and user-friendly interfaces that align with business goals and user needs.
• Collaborate closely with product managers, engineers, and clients to iterate on and refine design solutions.
• Present design concepts and decisions to internal stakeholders, clearly articulating and defending design rationale.
• Participate in grooming and refinement sessions with development teams to ensure high-quality implementation.
• Use design tools to produce storyboards, high-fidelity prototypes, and templates for user testing and demonstrations.
• Review proposed product changes for alignment with UX standards and recommend improvements.
• Expert Figma capabilities to create scalable design systems, components, and workflows.
• Utilize automation and integration tools (such as Make) to improve design efficiency and support design-to-development workflows.
• Contribute to AI-assisted design workflows, including understanding project outlines, inputs, and artifacts required to effectively run tools such as Claude Code.

UX Designer – AI

• Contribute to UX design efforts across the product lifecycle, from discovery through final design specifications and delivery
• Translate complex financial workflows into intuitive user experiences for B2B users and downstream consumer interactions
• Design, prototype, and test user experiences for digital financial products
• Collaborate closely with Product Management and Engineering to align user needs with business goals and technical considerations. Participate in discovery efforts to help define problems and shape design opportunities
• Communicate design rationale clearly by articulating the “why” behind decisions—including user needs, business context, and intended outcomes—so cross-functional partners can make informed decisions
• Work with Engineering throughout design and development to validate feasibility, understand constraints, and support the delivery of practical, high-quality solutions
• Participate in agile processes such as backlog grooming, sprint planning, and reviews to ensure design intent is well understood and implemented effectively
• Manage stakeholder expectations and clearly communicate design decisions and tradeoffs
• Present and defend UX decisions to stakeholders
• Work within an established design system, leveraging and improving patterns as needed
• Design within product, technical, and regulatory constraints while maintaining usability
• Create scalable design systems, components, and high-fidelity prototypes in Figma
• Participate in grooming and ensure high-quality implementation
• Use AI tools (e.g., Claude Code) and automation tools (e.g., Make) to accelerate ideation, prototyping, and workflow efficiency
• Incorporate user testing, usability feedback, and research insights to inform design decisions
• Partner with stakeholders to gather qualitative and quantitative insights and iterate designs

UX Designer

AI Engineer

• Own the end-to-end product strategy and roadmap for the AI platform layer.
• Partner with executive leadership to align AI initiatives with company-wide product vision and revenue goals.
• Build business cases justifying R&D investment based on expected benefits.
• Partner with principal engineers and ML infrastructure leads to make informed build-vs-buy-vs-partner decisions on foundational AI capabilities
• Establish and govern platform-level standards: API versioning policies, model lifecycle management, prompt versioning, and observability requirements
• Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product strategy and development.
• Treat internal R&D teams as your primary customers. Conduct structured discovery with feature teams to understand their AI integration pain points, latency requirements, and data access needs.
• Define and own the developer experience for consuming the AI platform: API contracts, SDK design, documentation standards, sandbox environments, and onboarding flows.
• Establish a platform roadmap governance process: intake, prioritization, and communication of platform changes to dependent teams.
• Build feedback loops with consuming teams post-release to detect friction, integration failures, and unmet capability needs early.
• Establish monitoring and observability standards: model drift detection, confidence thresholds, input distribution shifts, and alerting policies
• Translate regulatory requirements for AI use in lending (FCRA, ECOA, HMDA, OCC SR 11-7 model risk management) into concrete platform requirements: explainability APIs, audit logging, adverse action reason codes, and human-in-the-loop override mechanisms.
• Maintain a clear capability matrix of which AI features are permissible for which customer tiers, regulatory environments, and data sensitivity levels.
• Define and own platform-level SLOs: inference availability, P99 latency, pipeline throughput, and data freshness.
• Build platform health dashboards and escalation playbooks for AI service degradation—distinct from application-layer monitoring.
• Track platform adoption metrics: number of consuming teams, API call volumes, feature flag usage, and time-to-integrate for new consumers.
• Hold regular platform reviews with engineering leadership to surface technical debt, capacity constraints, and architectural risks before they affect downstream feature teams.
• Align platform metrics with those of the AI-based application products; collaborate with application Product Managers to ensure alignment.

Senior Product Manager – AI Platform

Analyst

• Plays a critical role in delivering seamless implementations for new and existing customers
• Manages expectations and key milestones with clients
• Collaborates cross-functionally to resolve challenges and optimize outcomes
• Educates clients on advanced platform capabilities
• Proactively identifies issues and facilitates resolutions before escalation

Implementation Analyst

• Lead implementation of complex software systems and services
• Influence architecture and modernization initiatives
• Mentor engineers through code reviews and technical coaching
• Support operational excellence and production reliability
• Partner closely with Product, QA, and DevOps teams

Senior AI Engineer

• Own implementation and delivery of product features and services
• Collaborate on technical design and architecture discussions
• Develop backend and frontend functionality using modern engineering practices
• Contribute to CI/CD pipelines, testing, monitoring, and operational reliability
• Grow technical expertise through mentorship and cross-functional collaboration

AI Software Engineer

• Join our innovation team as a Software Engineer II, where you'll play a pivotal role in shaping innovative software solutions.
• Responsible for the development and maintenance of the company’s software products.
• Involves designing, developing, documenting, testing, deploying, monitoring, and debugging both new and existing software systems and applications.
• Act as a technical expert on development projects and participate in the full software development life cycle, including requirements analysis and design.
• Design and develop the overall structure of software systems and applications to meet business needs, both in the cloud and on-premises.
• Provide ongoing guidance on business domain knowledge and product architecture.
• Utilize tools and methodologies to create functional representations and user interfaces for desired products.
• Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform, presenting insights to senior team members.
• Ensure the security, performance, manageability, quality, and consistency of the software architecture across the system, offering technical guidance to development teams.
• Conduct research, gather information, interpret data, identify requirements, and develop effective solutions.

Software Engineer II

Digital Marketing

• Execute and optimize paid media campaigns across search, social, display, and ABM platforms to support demand and pipeline goals
• Develop and execute segmentation strategies, including account-based marketing programs (e.g., 6sense or similar tools)
• Manage day-to-day campaign setup, optimization, and performance monitoring across platforms such as Google, LinkedIn, Meta, YouTube and Display (e.g. 6Sense)
• Plan, forecast, and manage budget allocation and pacing to ensure efficient spending
• Inform channel mix decisions and develop paid media strategy to maximize pipeline and ROI
• Test and evaluate new channels, formats, and tactics to improve efficiency and results
• Partner with Campaign Managers, Product Marketing, Creative, SEO/Web, and Marketing Operations to ensure paid media aligns with campaign objectives
• Manage relationships with industry publications and media partners, owning sponsorship strategy, negotiating placements, and reporting performance
• Analyze and report on campaign performance, sharing clear insights and optimization recommendations
• Establish and maintain accurate conversion tracking and attribution across paid platforms (LinkedIn, Google, 6sense) in partnership with Marketing Operations

Digital Marketing Manager

Backend Engineer

• Design, develop, and maintain secure, scalable Java-based backend services and applications supporting TAZWorks and InstaScreen platforms
• Translate complex business requirements into well-designed technical solutions with a focus on reliability, performance, and maintainability
• Take ownership of features and services through the full software development lifecycle, from design and implementation to deployment and support
• Collaborate closely with Product Owners, Architects, DevOps, QA, and fellow engineers to deliver high-quality, business-driven solutions
• Perform code reviews and provide constructive feedback to ensure adherence to coding standards, best practices, and architectural guidelines
• Troubleshoot, debug, and optimize existing systems to improve performance, scalability, and security
• Contribute to system design discussions, technical documentation, and proof-of-concept efforts for new approaches and technologies
• Mentor and support junior and mid-level engineers, helping grow overall team capability and engineering excellence
• Participate effectively in a distributed, agile scrum environment and contribute to continuous improvement initiatives

Java Software Engineer III

Manager

• Scope definition and control (complex deals): Lead drafting and negotiation of SOWs/change orders for complex and strategic engagements; define objectives, deliverables, assumptions, exclusions, timelines, and acceptance criteria to prevent misunderstandings and scope creep.
• Performance and milestone governance: Define measurable success criteria (KPIs, acceptance criteria, milestones) and establish operating rhythms to track progress; surface portfolio trends/risks and drive timely issue resolution with delivery and business stakeholders.
• Compliance and risk management: Set and apply contracting guardrails aligned to company standards and policies; identify legal/procurement/financial risks, frame tradeoffs, and escalate with recommended paths forward to enable informed decisions.
• Change management: Own the governance model for scope, timeline, and deliverable changes; drive cross-functional alignment, document approvals, and maintain a clear audit trail across the engagement lifecycle.
• Contracting strategy and enablement: Develop, standardize, and maintain templates, clause guidance, and negotiation playbooks; partner with stakeholders to improve cycle time, consistency, and risk posture across Professional Services deals.
• Stakeholder communication and decision support: Synthesize complex issues into clear options, tradeoffs, and recommendations for senior stakeholders; proactively remove roadblocks, align decision-makers, and drive timely closure.

Professional Services Contract Manager

Data Engineer

• Define the enterprise data architecture: Own the conceptual, logical, and physical data models for MeridianLink's analytical and operational data platform, including source-aligned, integrated, and consumption-ready layers.
• Build the meta-model: Design and maintain a meta-model that captures entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs — and make sure it is wired into our tooling, not stuck in a slide deck.
• Drive the lakehouse strategy: Architect our medallion (bronze / silver / gold) Delta Lake patterns on Databricks; define standards for partitioning, clustering, schema evolution, slowly changing dimensions, and historical reproducibility.
• Be hands-on: Write PySpark, SQL, and Delta Lake code. Build reference implementations, prototype patterns, review pull requests, and personally model critical domains rather than delegating every detail.
• Lead data integration design: Set patterns for ingestion through Informatica Data Management Cloud (IDMC) and direct Databricks pipelines, including CDC, batch, streaming, and API-based sourcing from our SaaS products and third-party systems.
• Champion data governance and lineage: Partner with data governance, security, and compliance leaders to operationalize cataloging, lineage, classification, masking, and access controls across the platform (Unity Catalog, IDMC, and adjacent tools).
• Standardize data modeling practices: Establish the standards, naming conventions, and review processes used by the Data Engineering team. Coach engineers on dimensional modeling, Data Vault, and other techniques where they best fit the use case.
• Partner across the business: Work closely with Product, Engineering, Analytics, ML, Finance, Risk, and Customer-facing teams to translate business needs into durable data designs.
• Influence the roadmap: Identify gaps in tooling, capability, and skill; propose investments; and drive multi-quarter initiatives that materially improve how MeridianLink uses its data.

Principal Data Architect – AI

Data Scientist

• Build and maintain vector stores for RAG: Design embedding pipelines, chunking strategies, indexing approaches, and refresh patterns for the vector stores powering retrieval-augmented generation across MeridianLink products.
• Own the feature store: Design, build, and operate feature store assets used for model training and online/offline inference, including feature definitions, freshness SLAs, lineage, point-in-time correctness, and reuse across teams.
• Design graph data structures: Build graph databases that model relationships between applicants, applications, products, lenders, decisions, and outcomes — and make them queryable for both AI use cases and analytical investigations.
• Lead data discovery: Profile our lending, deposit, and behavioral datasets to identify hidden trends, segments, anomalies, and potential model drivers; turn findings into actionable hypotheses for product, risk, and growth teams.
• Engineer for AI consumption: Build the curated, AI-ready datasets that downstream model builders, application engineers, and analysts rely on — with appropriate quality, documentation, and governance baked in.
• Evaluate retrieval and feature quality: Define and run evaluation frameworks for RAG retrieval quality, feature drift, embedding quality, and graph completeness; iterate based on what the metrics tell you.
• Partner with model builders: Work closely with ML engineers and applied scientists to make sure the data structures you build accelerate their work rather than slow it down.
• Champion responsible data use: Partner with governance, security, and compliance to ensure that AI-facing data assets respect data classification, customer consent, and regulatory boundaries from day one.
• Communicate findings: Translate discovery work into clear narratives — write-ups, notebooks, dashboards, and short presentations — that help non-technical stakeholders act on what the data is showing.

Data Scientist, AI Data Foundations

Pricing Analyst

• Launch optimized packaging and pricing program across the MeridianLink platform that increases attach rates and cross-sell.
• Own end-to-end rollout health including the phased plan, milestone tracking, systems and GTM readiness, and mid-flight program adjustment as needed.
• Own oversight of the systems and data implementation to support the new program, collaborating with the TMO, Business Systems, and Finance teams to land the new model in the CPQ, CRM, billing, and renewals systems and customer-facing order forms.
• Implement key rollout metrics and build dashboards/trackers to monitor them.
• Own program governance: Lead a regular standup (metrics, insights, actions); produce a concise pack highlighting performance and elevate and address issues and risks for leadership decision making.
• Train the Sales organization on the new packaging and pricing and collaborate with Sales Enablement to ensure materials are understood and that the team is able to communicate the details and value proposition. Work with Product Marketing on supportive collateral and gtm planning.
• Consolidate “voice of customer” signals by systematically gathering and categorizing sales feedback and direct customer feedback. Separate patterns from noise to ensure necessary adjustments are made and the field is supported as they approach our customers.
• Prioritized action backlog: Maintain a prioritized action backlog of rollout issues and improvement ideas (messaging changes, training needs, design changes, etc.), prioritized by business impact with owners assigned.
• Keep program goals in front of mind for the team and ensure program trajectory remains aligned.
• Represent findings and recommendations to senior and executive leadership.
• Own the annual price-update cycle end to end, including timeline, approvals, and the playbook Sales, CS, Finance, and Marketing run against.
• Recommend the increase strategy by segment, product, and contract vintage, balancing realized lift against churn risk and new-logo win rate.
• Own the post-mortem: realized lift, concessions, churn delta, sentiment — and incorporate it into next year’s cycle.
• Stand up the repeatable intake-to-launch process for every new product, module, or pricing change. Run the monthly pricing committee.
• Build monetization frameworks for new features and capabilities.
• Support the Product organization with rigorous willingness-to-pay and value studies that inform how we package and price new capabilities.
• Partner with Product Management early to inform feature-tiering with clear monetization logic.
• Design tiering and add-ons that drive attach and cross-sell across Consumer, Mortgage, Business Lending, Account Opening, Data Verification, Analytics, and new products.
• Own post-launch reviews to evaluate pricing performance.
• Run a continuous price-study motion.
• Own win/loss pricing analysis; publish a quarterly read on where we’re leaving money and where we’re pricing ourselves out.
• Maintain competitive pricing intelligence on the core competitive set: list prices, packaging, and discounting behavior as seen in our deals.

Senior Director, Pricing Strategy – Operations

Frontend Engineer

• Lead and evolve frontend architecture and standards for our Angular and React applications
• Define, document, and enforce frontend architectural principles company-wide
• Develop and maintain a shared design system and frontend platform strategy for consistent user experiences
• Ensure best practices, reusable patterns, and cross-framework consistency across Angular and React
• Guide framework coexistence, migration, and modernization strategies
• Set clear performance, accessibility (WCAG), observability, and automated testing standards
• Collaborate closely with Product Management, UX Design, and Backend Engineering to shape intuitive end-to-end user flows
• Advocate for UI, UX, and platform-level improvements by influencing product and engineering roadmaps
• Mentor and guide engineers and frontend leads across teams
• Represent frontend architecture and UI strategy in cross-organizational technical forums and architecture reviews
• Drive adoption and contribution to shared UI libraries, components, and standards
• Integrate AI-assisted UX patterns such as intelligent recommendations, guided workflows, contextual insights, and adaptive UI behaviors
• Establish guardrails for responsible AI usage in frontend experiences, considering performance, accessibility, and ethical UX
• Define patterns supporting human-in-the-loop UX, transparency, auditability, and feedback in AI-powered interfaces
• Promote AI-assisted frontend development practices, including code generation, refactoring, testing, accessibility checks, and documentation
• Accelerate delivery while maintaining quality through design-to-code and component generation workflows, leveraging AI appropriately