MeridianLink

Lead end-to-end delivery of consumer implementations managing timelines and customer accountability. | Manage complex assignments and lead critical conversations with senior stakeholders, with 2-4 years experience and a bachelor's degree. | The Implementation Project Manager leads the end-to-end delivery of MeridianLink Consumer/Opening implementations for new and existing customers, from kickoff through UAT and go-live. The Implementation Project Manager schedules and leads the implementation kickoff, reviews the scope of work established by Sales, and builds the project timeline. The role evaluates project risk and holds the customer accountable to agreed-upon timelines, deadlines, and deliverables. The Implementation Project Manager is the lead on the project team and reports to a Services Manager. Implementation Analysts (IAs) are part of the project team; the Implementation Project Manager leads the project and coordinates efforts with the assigned Implementation Analyst(s). The role will support seasoned peers and management on difficult to complex aspects of the position. Expected Duties Schedule and lead the all major milestone meetings including Kick-Off, UAT Kick-Off and Transition to Support. Review the scope of work established by Sales and build the corresponding project timeline. Hold weekly status calls with customers and hold them accountable to agreed-upon timelines, deadlines, and deliverables. Hold internal syncs across teams as necessary throughout the project. Track and manage ticket progress in JIRA and escalate as necessary. Manage and maintain the project timeline in Smartsheet. Serve as the first point of escalation for issues within the project, customer-facing or internal. Evaluate and communicate project risk to stakeholders. Provide regular project status updates to their Services Manager. Lead and coordinate with Implementation Analysts (IAs) as part of the project team. Monitor internal documentation and recommend improvements. Qualifications: Knowledge, Skills, and Abilities The role will support seasoned peers and management on difficult to complex aspects of the position. Career-development professional within the subject area. Ability to conduct work assignments of increasing complexity under moderate supervision with some latitude for independent judgment. Strong proficiency with Microsoft Office 365, including Excel and PowerPoint. Ability to lead critical conversations with customers and maintain executive presence when engaging senior stakeholders. Teamwork attitude, flexibility, and ability to manage different responsibilities/priorities at the same time. Preferred Qualifications Bachelor's degree and 2-4 years of relevant experience. Experience with Smartsheet, JIRA, and Claude is a plus.

Serve as highest technical escalation point, triage tickets, perform root cause analysis, and mentor support analysts. | Bachelor's degree or equivalent experience with 5+ years technical support including 2+ years Tier 2/3, proficient in SQL and reading C#, Java, or Python source code. | The Senior Technical Support Engineer is a highly specialized position serving as the deepest technical layer within MeridianLink’s Customer Support organization. This role functions as a quasi-developer embedded in Support—bridging the gap between client-facing issue resolution and the Product and Engineering teams. The Senior Technical Support Engineer reports to a Manager, Product and Client Support and is responsible for owning, analyzing, and resolving the most technically complex escalations that unable to be resolved by lower-level teams. A critical function of this role is the triage and deflection of inbound Jira tickets that are incorrectly routed, investigating root causes through log analysis, database queries, and code inspection before any escalation occurs. Expected Duties: Serves as the final escalation point within Support for the most complex, technically ambiguous issues, owning resolution end-to-end, including communication to all internal and client stakeholders Investigates and triages inbound Jira tickets submitted to Product and Development, performing root cause analysis to determine whether issues represent bugs, configuration errors, data anomalies, or integration failures—deflecting tickets that can be resolved within Support Executes targeted SQL queries against client and application databases to diagnose data integrity issues, validate system behavior, and identify the source of discrepancies reported by clients or Tier 1/2 teams Analyzes application logs, API call logs, and integration event traces to reconstruct failure scenarios, isolate root causes, and produce clear technical summaries for Engineering and Product when escalation is warranted Reads and interprets source code (C#, SQL, JavaScript, Java, Python) to understand system behavior, validate expected outcomes, and identify defects or unintended logic without requiring developer assistance Authors detailed, structured Jira tickets when escalation to Product or Development is genuinely required, including reproduction steps, log excerpts, database findings, and a clear statement of support investigation performed Partners closely with Product Management and Engineering to communicate support- impact of known defects, advocate for prioritization of client-affecting bugs, and track resolution timelines Develops and maintains deep subject matter expertise across MeridianLink’s product suite, including LOS, consumer banking, and third-party integration frameworks (e.g., Authorize.net, Nautilus, core banking connectors) Leads internal knowledge transfer sessions for Support teams on newly released features, known defects, and technical workarounds; contributes to and reviews knowledge base articles for technical accuracy Participates in after-hours emergency on-call coverage rotation for critical production issues Mentors Tier 1 and Tier 2 Software Support Analysts, building the team’s technical diagnostic capability and reducing escalation volume over time Represents Support in cross-functional technical reviews, sprint planning input sessions, and Product roadmap discussions as a voice of the client and support organization Supports warm handoff transition calls from Professional Services project engagements, ensuring technical continuity as clients move into steady-state support Contributes to accomplishment of team and organizational support KPIs including deflection rate, escalation quality, and time-to-resolution on Tier 3 cases Performs other projects and duties as assigned Qualifications: Knowledge, Skills, and Abilities Bachelor’s degree in Computer Science, Information Systems, or a related technical field; or equivalent hands-on experience in a software support, QA, or development-adjacent role 5+ years of experience in technical support, with a minimum of 2 years in a Tier 2 or Tier 3 capacity within a SaaS or fintech environment Proficient in SQL with demonstrated ability to write and execute complex queries for diagnostic purposes; experience with SQL Server preferred Demonstrated ability to read and navigate application code (C#, Java, Python, or similar) to understand business logic, trace execution paths, and identify defect candidates without full developer context Experience analyzing application logs, API payloads, and event streams to reconstruct failure sequences and identify root causes Working knowledge of credit application, loan origination, underwriting, and core banking processes as they relate to MeridianLink product behavior This position requires hands-on proficiency with SQL, application and API log analysis, and the ability to read and interpret source code across multiple languages. Strong communication skills and a structured, investigative mindset are essential to succeeding in this role.

Lead integration architecture and API design across product lines, define standards, and build shared infrastructure. | 8+ years experience with technical leadership, backend languages, AWS proficiency, and a bachelor's degree. | Staff Platform Engineer – Platform Integrations Position Summary The Staff Platform Engineer for Platform Integrations is a senior individual contributor and the primary technical authority on the integrations that connect MeridianLink’s products to one another and to the external systems our clients depend on. This role sits within Platform Services and owns integration architecture, API design, and the patterns and standards that engineering teams across Consumer, Portal/Access, and adjacent product lines build against. The right person combines deep technical expertise in integration and API systems with the maturity to operate across teams and drive architectural decisions without formal authority. Key Competencies Staff engineers operate across multiple teams or an entire product line. They set technical direction, make architecture and technology decisions that others build against, and raise the engineering floor across the teams they touch. Staff engineers at MeridianLink are active, daily users of AI-assisted development tools, and go further by building the workflows, tooling, and patterns that make those tools more effective for the teams around them. Technical Leadership & Architecture • Makes critical architecture and design decisions that span multiple teams or an entire product area • Evaluates technology choices with a clear view of trade-offs at scale, not just for the immediate problem • Drives technical standards and patterns that other engineers can follow without being supervised • Identifies systemic problems before they become incidents Cross-Team Execution • Provides day-to-day technical direction for one or more scrum teams without holding a management title • Steps into ambiguous, high-stakes technical problems across teams and drives them to resolution, without being asked • Holds a high bar in code and design review across team boundaries Integration Architecture & API Design • Defines integration patterns, API contracts, and data exchange standards used across product lines • Evaluates build-vs-buy decisions for integration infrastructure, including API gateways, event streaming, and messaging platforms • Designs resilient, observable integration systems that degrade gracefully and recover predictably • Drives adoption of shared integration infrastructure and establishes standards for how teams onboard to it Ecosystem & Product Knowledge • Develops deep working knowledge of MeridianLink’s product ecosystem, including the data flows, dependencies, and integration points across LOS, Account Opening, TazWorks, and partner systems • Anticipates how product-level changes cascade across integration surfaces and flags risk before it ships • Builds relationships with product and engineering stakeholders across Consumer, Portal/Access, and adjacent teams to stay ahead of integration needs Expected Duties Architectural Leadership • Own the reference architecture for the Platform Integrations layer, covering API standards, event-driven patterns, shared integration service design, and third-party integration frameworks • Lead technical due diligence and design reviews for new integration requirements, particularly those that cross product lines or involve external partners • Define and document API contracts, integration patterns, and onboarding standards that enable product teams to build on shared integration infrastructure with confidence • Drive decisions on integration tooling, frameworks, and platforms in partnership with the Platform Foundation and Capabilities teams Hands-On Delivery • Contribute directly to implementation of integration services, APIs, and shared libraries used across the engineering organization • Participate in code review and design review with a high bar, raising quality across the team • Build and maintain tooling that makes integration development faster and more reliable for other engineers • Validate and improve AI-assisted development practices within the integrations domain Platform Standards & Governance • Author RFCs and ADRs that document integration design decisions with enough clarity and context to remain useful for years • Establish and maintain a shared integration knowledge base, including runbooks, onboarding guides, and API documentation • Participate in architecture review for integration-adjacent work happening in product and platform teams, catching design issues before implementation begins • Contribute to platform governance processes to ensure integration decisions are made through the right channels Collaboration & Growing Others • Develop Senior engineers toward Staff-level scope; give them problems and opportunities that stretch them, not just guidance on their current work • Partner with Engineering Managers and Product leadership to align technical decisions with delivery goals • Own the design and maintenance of technical knowledge infrastructure, including RFCs, ADRs, runbooks, and onboarding paths, so teams can operate without needing to escalate Qualifications: Knowledge, Skills, and Abilities Required • 8+ years of professional software engineering experience, with demonstrated technical leadership across multiple teams or product areas • Proven ability to make and defend architecture decisions at scale • Active daily use of AI-assisted development tools • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience Required (Role-Specific) • Demonstrated experience designing and building production-grade integration systems: RESTful APIs, event-driven architectures, or enterprise messaging patterns • Experience with API gateway technologies and API lifecycle management, including versioning, contracts, and deprecation • Strong proficiency in at least one backend language used in integration and platform contexts (Java, Python, C#, or similar) • Experience deploying and operating integration workloads on cloud platforms, AWS strongly preferred • Familiarity with event streaming platforms and asynchronous processing patterns Preferred • Experience with enterprise integration patterns and frameworks at scale across multiple engineering teams • Prior work in a multi-product fintech or financial services environment where integration complexity spans regulatory boundaries • Experience with API management platforms and governance tooling • Experience establishing integration standards or governance processes across multiple engineering teams What Success Looks Like A successful hire quickly becomes the integration team’s architectural anchor, reducing the number of design decisions that need to escalate while simultaneously raising the quality of the decisions that happen at the team level. Over time, impact is measured in the durability of the integration standards they establish, the engineering hours saved by the tooling and documentation they produce, and the degree to which product teams across the organization trust the integration platform as a reliable foundation.

Build and maintain CI/CD infrastructure and AI development tooling to improve engineering productivity. | 5+ years experience with Python or TypeScript, Kubernetes, CI/CD systems, and LLM developer tooling. | Position Summary This is a senior-level individual contributor on the Engineering Enablement team. The team builds the shared CI/CD infrastructure, AI development tooling, and sandbox environments that hundreds of R&D engineers depend on. A core part of that mission is advancing MeridianLink's AI-native development program — building the harnesses, agent infrastructure, and shared tooling that move engineering teams from ad-hoc AI usage toward autonomous, repeatable development pipelines. This role owns a significant chunk of that platform and drives adoption across engineering teams. This is a hands-on role: real code, real infrastructure, direct engagement with engineering teams. The measure of success is how much faster you make everyone else. Key Competencies What it means to be a Senior Engineer at MeridianLink Senior individual contributors own their work end-to-end, identify problems before they're surfaced, and make the engineers around them better. Senior engineers at MeridianLink are active, daily users of AI-assisted development tools. Technical Execution & Delivery Owns features and infrastructure end-to-end: design through production release, limited guidance required Identifies edge cases and failure modes independently within assigned scope Participates actively in code review with constructive, specific feedback Surfaces blockers early rather than waiting for check-ins Craft & Professionalism Writes tests that catch regressions without over-engineering the suite Monitors shipped work, responds to issues, and follows incidents to resolution Puts institutional knowledge into shared systems rather than individual heads CI/CD & Build Systems Designs pipeline abstractions (templates, shared jobs, reusable configs) that work across multiple teams and tech stacks Reasons clearly about the tradeoffs between standardization and flexibility at org scale Keeps pipelines healthy, observable, and continuously improving AI Tooling & Developer Infrastructure Builds and maintains shared MCP servers, agent orchestration harnesses, and reusable skills and plugins Understands LLM developer tooling in practice: tool definitions, agent loops, prompt management Designs shared tooling with product thinking: requirements gathering, feedback triage, prioritized backlog Sandbox & Agent Infrastructure Owns the shared infrastructure layer for autonomous AI agent environments: orchestration, provisioning, observability, cost controls, and security guardrails Partners with product teams on their individual sandbox configs while maintaining the platform underneath Enablement & Engineering Advocacy Treats engineers as customers: office hours, documentation, feedback loops Measures platform impact with DORA metrics, adoption rates, and time-to-productivity data Closes the gap between shipping tooling and driving adoption Expected Duties CI/CD Platform Own and evolve shared infrastructure: templates, shared jobs, abstractions, and standards across R&D Resolve systemic reliability issues: flaky tests, slow builds, caching inefficiencies Partner with teams during migrations and help them adopt shared abstractions without disrupting delivery AI Tooling Platform Build and maintain shared MCP server infrastructure connecting AI harnesses to internal systems (Jira, Confluence, GitLab, internal APIs) Develop agent orchestration infrastructure: scheduling, observability, cost controls, security boundaries Build reusable harness skills, slash commands, and workflow scripts that ship as internal plugins Sandbox Infrastructure Own the shared infrastructure for AI agent sandbox environments: container orchestration, environment templates, networking, resource management Build and maintain orchestration and admin tooling: provisioning, lifecycle management, health monitoring, cost tracking Implement security guardrails for data isolation between sandbox environments Enablement & Adoption Drive AI tooling adoption through documentation, onboarding programs, office hours, and direct team engagement Maintain the internal best practices hub and AI development playbook Instrument platform usage and productivity metrics to measure whether investments are moving the needle Collaboration & Growing Others Participate in design discussions and code reviews; give and receive feedback constructively Mentor other engineers on the team Contribute to documentation and onboarding materials that reduce tribal knowledge Qualifications: Knowledge, Skills, and Abilities Required 5+ years of professional software engineering experience, delivering features and infrastructure independently in production Hands-on experience building and maintaining CI/CD systems at org scale, preferably GitLab CI and/or Jenkins Experience building developer-facing tooling or platform services other engineers depend on Hands-on experience with LLM developer tooling: MCP, LLM APIs, agent orchestration, or AI harnesses (Claude Code, Cursor, Copilot Workspace, or equivalent) Deep proficiency in Python or TypeScript, with production experience sufficient to own and deliver real features Proficiency with Kubernetes and Helm at production scale on AWS or Azure Experience designing shared pipeline abstractions and CI/CD infrastructure used by multiple teams Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent) Proficiency with standard development tooling: Git, Docker, automated testing, and modern scripting languages Active daily use of AI-assisted development tools Bachelor's degree in Computer Science, Software Engineering, or equivalent experience Preferred Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with direct measurement of developer velocity Experience building MCP servers or tool-integration layers for LLM-based systems Experience building or operating infrastructure for autonomous AI agents: sandboxed execution, scheduling, observability, cost management Familiarity with DORA metrics and developer productivity instrumentation Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems Prior experience in financial services, fintech, or a regulated technology environment Exposure to SOC 2 or similar compliance frameworks from an engineering perspective What Success Looks Like Within the first few months, a successful hire is shipping CI/CD improvements teams are actively using and contributing meaningfully to the AI tooling platform. Over time, success is adoption: more teams on shared infrastructure, faster delivery, less one-off tooling being built in isolation. Engineers who thrive here care about making other people more productive and find genuine satisfaction in watching adoption metrics climb.

Build and maintain identity, authentication, and authorization systems for a multi-product SaaS platform using AI-assisted workflows. | 3-5 years software engineering experience with .NET or Python, federated identity standards, AI development tools, and multi-tenant SaaS knowledge. | Software Engineer III – Platform Services Position Summary This is a mid-level individual contributor on the Platform Services team. This role focuses on building and maintaining the foundational systems that power identity, authentication, and integration capabilities across MeridianLink's multi-product SaaS platform. Platform Foundation is a small, high-output team. It runs lean by design, with the expectation that the right combination of engineering depth and AI-assisted tooling can achieve platform-scale impact with a minimal footprint. Engineers here are expected to understand the systems they own deeply enough to identify what needs to be built next, flag problems before they become incidents, and ship with the kind of care that keeps downstream product teams unblocked. The immediate focus of this role is federated identity and authorization infrastructure. The work ahead involves building and extending the platform services that product teams depend on to authenticate users, enforce authorization, and manage access at scale. A strong candidate for this role has hands-on experience with OAuth 2.0, OIDC, SAML, and JWT, understands how authorization frameworks work in practice, and knows what it takes to integrate identity services into real-world applications. Equally important is how this person approaches their craft. Platform Services run with AI-assisted workflows as a first-class part of how software gets designed, validated, and delivered. Engineers on this team are expected to be fluent users of AI development tools, not just passive consumers of them. If you want a role where AI is a force multiplier and not an afterthought, this team is built around that idea. This is a fully remote role. Key Competencies At this level, competencies reflect technical ownership of well-defined work, growing independence, and the beginning of a mentorship posture toward more junior engineers. Technical Execution & Delivery Delivers features end-to-end with limited guidance; takes a scoped requirement through design, implementation, testing, and production release Independently identifies edge cases and failure modes within the scope of assigned work Writes clean, maintainable code and participates actively in code review with constructive, specific feedback Proactively surfaces blockers or ambiguities rather than waiting for check-ins Identity & Authorization Systems Applies practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT Understands how authorization frameworks function: how they enforce policies, how they integrate into upstream and downstream services, and how access decisions are modeled and evaluated Reasons clearly about token lifecycle, session management, and the security implications of identity design choices Integration Engineering Understands the mechanics of connecting distributed services in a multi-product platform environment Builds and maintains integrations that are observable, fault-tolerant, and respectful of downstream consumers Writes and works with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility AI-Forward Engineering Actively uses AI-assisted development tools (Claude Code, Codex, etc.) to accelerate design, implementation, and validation Participates in building and improving AI-assisted workflows and evaluation harnesses that improve the team's delivery throughput Stays current on how AI tooling is evolving and brings new approaches to the team where they apply Craft & Professionalism Writes tests with enough coverage to catch regressions without over-engineering the test suite Contributes to operational health: monitors what they've shipped, responds to issues, and follows incidents to resolution Documents what needs to be documented; keeps tribal knowledge out of individual heads and into shared systems Expected Duties Identity & Authorization Platform Development Build and extend platform services that manage federated identity, authentication flows, and authorization enforcement across MeridianLink products Implement integrations with the centralized identity platform, including token handling, session management, user provisioning, and tenant configuration Support product teams through their integration process: help them understand the platform's contracts, debug integration issues, and navigate edge cases in multi-tenant identity behavior Build the tooling, documentation, and examples that make those integrations repeatable and self-service over time Integration Engineering Design and implement backend service integrations using common patterns (REST APIs, event-driven messaging, webhook delivery) in Python Build with multi-product and multi-tenant scenarios in mind: data isolation, tenant-scoped configuration, and cross-product user identity are properties of the platform, not edge cases Participate in API design reviews with attention to clarity, contract stability, and developer experience for downstream consumers AI-Assisted Delivery Use AI development tools as an active part of the delivery workflow: for code generation, design validation, test scaffolding, and investigation Contribute to AI harness development that helps the team move faster and catch regressions without proportionally increasing manual effort Share what's working across the team; help establish repeatable patterns for AI-assisted engineering on Platform Foundation Engineering Craft & Observability Write tests at the unit, integration, and acceptance level appropriate to what's being built Instrument services for observability: structured logging, metrics, and alerting that make production behavior visible and actionable Participate in on-call rotations and follow incidents through to root cause and remediation Collaboration & Growing Others Participate in design discussions and code reviews; give and receive feedback constructively Provide mentorship and review support to L1 and L2 engineers on the team Contribute to internal documentation, runbooks, and onboarding materials Qualifications: Knowledge, Skills, and Abilities Required Qualifications Experience: 3-5 years of professional software engineering experience, with demonstrated ability to own and deliver features independently in a production environment Hands-on experience building backend services in .NET or Python, including RESTful API development Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services Technical Skills: Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI, etc.) Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow Preferred Qualifications Identity & Authorization Depth: Prior experience working with a commercial or open-source identity platform (e.g., an OIDC provider, IAM system, or enterprise SSO solution) in an engineering capacity, not just as a consumer Experience modeling and implementing fine-grained authorization: RBAC, ABAC, or policy-based access control systems Familiarity with token security considerations including signing, expiration, revocation, and safe storage patterns Regulated or Platform Environments: Prior experience building software in a financial services, fintech, or otherwise regulated technology environment Experience building internal platform capabilities used by other engineering teams, not just end-user-facing features Exposure to SOC 2 or similar compliance frameworks from an engineering perspective AI-Assisted Engineering: Experience contributing to AI harnesses, evaluation pipelines, or tooling that improves engineering workflow throughput Comfort using AI tools not just for code completion but for design exploration, test generation, and investigation Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience What Success Looks Like A successful hire integrates quickly into the team's delivery rhythm, picks up the identity and integration domain with focus, and begins shipping production contributions within the first weeks. Within the first few months, they have built enough context to work largely independently on scoped features, are participating meaningfully in code reviews, and have demonstrated the kind of operational ownership -- shipping, monitoring, and standing behind their work -- that keeps a small team running well. Over time, impact is measured by the quality and reliability of what they've shipped, how much they've reduced the platform's dependence on tribal knowledge, and how effectively they've supported product teams integrating with the identity platform. Engineers who thrive here do so because they care about the craft, want to operate at the leading edge of AI-assisted development, and are motivated by building infrastructure that other teams depend on to deliver real product value.

Build and maintain identity and authorization platform services with AI-assisted workflows. | Mid-level software engineer with experience in backend services, identity protocols, and AI-assisted development tools. | Software Engineer III – Platform Services Position Summary This is a mid-level individual contributor on the Platform Services team. This role focuses on building and maintaining the foundational systems that power identity, authentication, and integration capabilities across MeridianLink's multi-product SaaS platform. Platform Foundation is a small, high-output team. It runs lean by design, with the expectation that the right combination of engineering depth and AI-assisted tooling can achieve platform-scale impact with a minimal footprint. Engineers here are expected to understand the systems they own deeply enough to identify what needs to be built next, flag problems before they become incidents, and ship with the kind of care that keeps downstream product teams unblocked. The immediate focus of this role is federated identity and authorization infrastructure. The work ahead involves building and extending the platform services that product teams depend on to authenticate users, enforce authorization, and manage access at scale. A strong candidate for this role has hands-on experience with OAuth 2.0, OIDC, SAML, and JWT, understands how authorization frameworks work in practice, and knows what it takes to integrate identity services into real-world applications. Equally important is how this person approaches their craft. Platform Services run with AI-assisted workflows as a first-class part of how software gets designed, validated, and delivered. Engineers on this team are expected to be fluent users of AI development tools, not just passive consumers of them. If you want a role where AI is a force multiplier and not an afterthought, this team is built around that idea. This is a fully remote role. Key Competencies At this level, competencies reflect technical ownership of well-defined work, growing independence, and the beginning of a mentorship posture toward more junior engineers. Technical Execution & Delivery Delivers features end-to-end with limited guidance; takes a scoped requirement through design, implementation, testing, and production release Independently identifies edge cases and failure modes within the scope of assigned work Writes clean, maintainable code and participates actively in code review with constructive, specific feedback Proactively surfaces blockers or ambiguities rather than waiting for check-ins Identity & Authorization Systems Applies practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT Understands how authorization frameworks function: how they enforce policies, how they integrate into upstream and downstream services, and how access decisions are modeled and evaluated Reasons clearly about token lifecycle, session management, and the security implications of identity design choices Integration Engineering Understands the mechanics of connecting distributed services in a multi-product platform environment Builds and maintains integrations that are observable, fault-tolerant, and respectful of downstream consumers Writes and works with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility AI-Forward Engineering Actively uses AI-assisted development tools (Claude Code, Codex, etc.) to accelerate design, implementation, and validation Participates in building and improving AI-assisted workflows and evaluation harnesses that improve the team's delivery throughput Stays current on how AI tooling is evolving and brings new approaches to the team where they apply Craft & Professionalism Writes tests with enough coverage to catch regressions without over-engineering the test suite Contributes to operational health: monitors what they've shipped, responds to issues, and follows incidents to resolution Documents what needs to be documented; keeps tribal knowledge out of individual heads and into shared systems Expected Duties Identity & Authorization Platform Development Build and extend platform services that manage federated identity, authentication flows, and authorization enforcement across MeridianLink products Implement integrations with the centralized identity platform, including token handling, session management, user provisioning, and tenant configuration Support product teams through their integration process: help them understand the platform's contracts, debug integration issues, and navigate edge cases in multi-tenant identity behavior Build the tooling, documentation, and examples that make those integrations repeatable and self-service over time Integration Engineering Design and implement backend service integrations using common patterns (REST APIs, event-driven messaging, webhook delivery) in Python Build with multi-product and multi-tenant scenarios in mind: data isolation, tenant-scoped configuration, and cross-product user identity are properties of the platform, not edge cases Participate in API design reviews with attention to clarity, contract stability, and developer experience for downstream consumers AI-Assisted Delivery Use AI development tools as an active part of the delivery workflow: for code generation, design validation, test scaffolding, and investigation Contribute to AI harness development that helps the team move faster and catch regressions without proportionally increasing manual effort Share what's working across the team; help establish repeatable patterns for AI-assisted engineering on Platform Foundation Engineering Craft & Observability Write tests at the unit, integration, and acceptance level appropriate to what's being built Instrument services for observability: structured logging, metrics, and alerting that make production behavior visible and actionable Participate in on-call rotations and follow incidents through to root cause and remediation Collaboration & Growing Others Participate in design discussions and code reviews; give and receive feedback constructively Provide mentorship and review support to L1 and L2 engineers on the team Contribute to internal documentation, runbooks, and onboarding materials Qualifications: Knowledge, Skills, and Abilities Required Qualifications Experience: 3-5 years of professional software engineering experience, with demonstrated ability to own and deliver features independently in a production environment Hands-on experience building backend services in .NET or Python, including RESTful API development Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services Technical Skills: Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI, etc.) Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow Preferred Qualifications Identity & Authorization Depth: Prior experience working with a commercial or open-source identity platform (e.g., an OIDC provider, IAM system, or enterprise SSO solution) in an engineering capacity, not just as a consumer Experience modeling and implementing fine-grained authorization: RBAC, ABAC, or policy-based access control systems Familiarity with token security considerations including signing, expiration, revocation, and safe storage patterns Regulated or Platform Environments: Prior experience building software in a financial services, fintech, or otherwise regulated technology environment Experience building internal platform capabilities used by other engineering teams, not just end-user-facing features Exposure to SOC 2 or similar compliance frameworks from an engineering perspective AI-Assisted Engineering: Experience contributing to AI harnesses, evaluation pipelines, or tooling that improves engineering workflow throughput Comfort using AI tools not just for code completion but for design exploration, test generation, and investigation Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience What Success Looks Like A successful hire integrates quickly into the team's delivery rhythm, picks up the identity and integration domain with focus, and begins shipping production contributions within the first weeks. Within the first few months, they have built enough context to work largely independently on scoped features, are participating meaningfully in code reviews, and have demonstrated the kind of operational ownership -- shipping, monitoring, and standing behind their work -- that keeps a small team running well. Over time, impact is measured by the quality and reliability of what they've shipped, how much they've reduced the platform's dependence on tribal knowledge, and how effectively they've supported product teams integrating with the identity platform. Engineers who thrive here do so because they care about the craft, want to operate at the leading edge of AI-assisted development, and are motivated by building infrastructure that other teams depend on to deliver real product value.

Lead technical architecture and delivery of integration solutions while mentoring engineers and ensuring security and scalability. | 7-10 years experience with C#, .NET, API design, bachelor's degree, and fintech knowledge required. | The Sr Software Engineer, is responsible for the technical leadership, architecture, and delivery of integration solutions within MeridianLink's consumer lending platform. This role serves as the primary technical lead for a dedicated engineering team focused on financial technology integrations. The Sr Software Engineer will design, develop, document, test, deploy, monitor, and debug integration solutions across new and existing software systems and applications. The role acts as the deepest technical expert on the team, owns end-to-end integration architecture, and is accountable for the technical quality, security, and scalability of all fintech integration touchpoints within the platform. Expected Duties Serve as technical lead, providing architectural direction and hands-on engineering for consumer lending solutions. Design and implement robust, secure, and maintainable layers using C#, VB.Net, RESTful web services, and SOAP APIs, ensuring consistency and reliability across the consumer lending platform. Own the full development lifecycle from requirements analysis and technical design through implementation, testing, deployment, and production monitoring. Establish and enforce technical standards, coding practices, and integration patterns for the team; conduct code reviews and define quality gates that ensure security, performance, and maintainability. Create architectural blueprints and technical design documents for complex problems, evaluating provider contracts, API specifications, and data schemas to guide the team toward sound, scalable solutions. Act as the escalation point for production incidents and complex technical issues involving fintech integrations, driving root cause analysis and sustainable resolution. Mentor and grow junior and mid-level engineers on the team; provide structured guidance, pair programming, and knowledge transfer on integration patterns, financial data handling, and platform conventions. Evaluate emerging fintech integration partners and technologies, conducting proof-of-concept work and providing recommendations to engineering leadership. Ensure all solutions meet MeridianLink's standards for data security, PII handling, regulatory compliance, and financial data privacy. Contribute to cross-team architectural decisions affecting infrastructure, shared services, and platform-wide API strategy. Perform other duties as assigned in a timely fashion. Qualifications: Knowledge, Skills, and Abilities The role encompasses work that is new, highly complex, and highly impactful to the business. The individual will have complete knowledge and deep understanding of software engineering principles, integration architecture, and fintech domain practices. Work involves problems of diverse and cross-functional scope where analysis requires evaluation of technical, security, and business factors simultaneously. Work is performed independently and outcomes are expected to influence team direction and product strategy. Ability to assess unusual or ambiguous technical circumstances and apply sophisticated analytical and problem-solving techniques to identify root cause and design durable solutions. Ability to resolve and evaluate a wide range of integration and system issues in creative ways, suggesting and validating variations in approach with clear trade-off analysis. Ability to devise solutions based on limited external documentation or precedent, adapting existing platform patterns to resolve novel challenges from new partners. Ability to build and maintain relationships with senior internal stakeholders and external partner engineering teams, including effective communication and persuasion with audiences not familiar with architecture. Strong understanding of patterns including OAuth 2.0, webhook-based event delivery, certificate-pinned mTLS, JSON/XML payload transformation, and API versioning strategies. Deep familiarity with financial data concepts including credit bureau data, fraud scoring models, bank account verification flows, income verification, and risk-based decisioning pipelines. Bachelor’s degree in computer science, Software Engineering, or a related field and 7–10 years of progressive software development experience, or equivalent combination of education and experience. Required Technical Skills: 7–10 years of progressive software engineering experience, including technical leadership responsibilities. Strong expertise in C#, VB.Net, .NET Framework, and enterprise web application development. Experience designing and integrating RESTful and SOAP APIs in distributed systems. Proven ability to lead technical teams and deliver complex integration projects end-to-end. Experience with SQL Server, relational database design, and performance optimization. Strong understanding of fintech integration concepts including OAuth 2.0, webhooks, API security, and financial data workflows. Experience with consumer lending, financial systems, or fintech platforms is strongly preferred. Comfortable using AI-powered development tools for coding assistance, debugging, automated testing, code reviews, documentation, and engineering productivity improvements. Excellent problem-solving, communication, and cross-functional collaboration skills. Preferred Technical Skills: Experience with consumer lending, loan origination systems (LOS), or financial institution software. Familiarity with credit decisioning engines, dynamic scoring models, and automated underwriting workflows. Cloud and Azure development experience. CI/CD pipeline design and DevOps practices. Automated testing methodologies including unit, integration, and contract testing. Performance profiling and security hardening of API-based integrations.

Lead pricing and packaging program rollout and establish pricing optimization processes across departments. | 10+ years in pricing, monetization, and operations within B2B SaaS with 5+ years senior leadership and strong analytical skills. | Sr. Director, Pricing Strategy & Operations MeridianLink is hiring a Senior Director, Pricing Strategy & Operations to lead the rollout of our new pricing and packaging program and to stand up the operating engine that keeps our pricing optimized over time. We're seeking a operationally rigorous pricing leader to unlock revenue growth and maximize value capture across our expanding product portfolio. You will own the end-to-end rollout across the MeridianLink portfolio, run the annual price-update cycle, build a repeatable process we use for every new product or pricing change, and own ongoing pricing evaluation — win/loss, competitive pricing intelligence, and willingness-to-pay — so our packaging and pricing maximizes revenue while minimizing churn and new-prospect loss. This is an execution-heavy, operator role. You will be a partner daily with Product, the Transformation Management Office (TMO), Business Systems team, Sales, RevOps, Finance, and Marketing. What You’ll Own 1. Rollout of the New Pricing & Packaging Program (primary focus, 12–18 months) 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. 2. Annual Price Updates 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. 3. Ongoing Product & Pricing Introduction 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. 4. Ongoing Price Studies & Competitive Intelligence 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. What You Bring 10+ years in pricing, monetization, and operations in B2B SaaS, including 5+ years in senior leadership roles owning pricing outcomes. Proven track record leading multiple end-to-end pricing and packaging transformations across multi-product SaaS portfolios, including systems, enablement, and customer migration. Adaptability: Role spans product and program skills; requires a hybrid “analytics + persuasion” mindset and comfort in ambiguity and fast-paced environments. Operator mindset, strong voice-of-customer synthesis, commercial instincts. Strong communication & stakeholder management: proven ability to align teams without direct authority, keeping cross-functional leads accountable. Voice-of-customer synthesis: skilled at running feedback loops, triaging incoming feedback, identifying patterns, and balancing anecdote vs. data with empathy. Working familiarity with Salesforce, CPQ, modern billing platforms, SQL, and at least one BI tool. Advanced Excel / financial modeling is a must. Analytical mindset: Strong data skills; able to design dashboards and derive insights from both quantitative metrics and qualitative inputs. Experience packaging and pricing AI-based product features. Executive presence enabling you to present confidently to executive teams and board members, presenting pricing strategies with confidence and defending recommendations with data. Experience with pricing research methods preferred (van Westendorp, conjoint, segment surveys, customer interviews).

Design and build AI infrastructure, lead architecture, mentor teams, and ensure compliance in financial AI systems. | 8+ years software engineering with Python, REST APIs, AI features, LLM integration, and financial compliance experience. | As a senior individual contributor and one of the highest-ranking technical voices in our engineering organization, the Staff Software Engineer (Professional 5) plays a pivotal role in shaping our AI platform strategy. This role, part of the Platform Services team, is dedicated to designing and building foundational infrastructure to power MeridianLink’s expanding suite of customer-facing AI capabilities across our credit union software product lines. Rather than focusing solely on implementation, the Staff Engineer acts at the intersection of architecture, strategy, and hands-on technical delivery. You’ll own the technical direction for AI platform systems, establish standards and patterns, and lay the architectural groundwork to enable reliable, scalable, and responsible AI development. This engineer will report directly to the Director of Platform Services and exert significant cross-functional influence across multiple engineering teams. As our AI platform matures—from third-party LLM integrations toward custom model development—your responsibilities will evolve, giving you increasing ownership over our model infrastructure, evaluation harnesses, and data pipelines needed to support production-grade AI in a regulated financial environment. This fully remote position works within a sub-team in Platform Services, responsible for building and scaling MeridianLink’s first generation of customer-facing AI capabilities. The team closely partners with application engineering, cloud infrastructure, and applied AI, creating technological foundations vital for delivering intelligent features to our credit union clients. Key Competencies Technical Mastery & Architecture: Define multi-team strategy, address architectural bottlenecks, and evaluate build vs. buy decisions across the platform. Architect scalable AI systems with security, compliance, and developer experience at the core. Organizational Influence: Lead cross-team architecture reviews, drive collaborative alignment, establish engineering best practices, and set the bar for design reviews and production readiness. AI & GenAI Platform Expertise: Leverage hands-on knowledge of LLM/GenAI application patterns (e.g., prompt management, RAG pipelines, evaluation harnesses) and design for safety, auditability, and compliance in financial services AI. Mentorship: Mentor and sponsor engineers at L3–L4 levels, facilitate knowledge sharing, and drive tech debt and best practice initiatives for engineering excellence. Stakeholder Engagement: Author clear, auditable architectural documentation; translate technical concepts for business partners; and partner with Product on business requirements and roadmaps. Expected Duties Architectural Leadership Own the reference architecture for the AI platform, encompassing API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving. Lead build-vs-buy evaluations for AI components, including due diligence and integration planning. Design foundational data pipelines and infrastructure to support reliable, scalable AI services. Define and document API contracts, standards, and platform interfaces across engineering. Hands-On Delivery Contribute to backend development in Python and RESTful API design, including integrations with leading AI providers. Participate in full-stack delivery when needed, using React/TypeScript/Vite to deliver AI features. Build and maintain tooling, SDKs, and platform APIs to enable safe, scalable AI adoption by product teams. Drive improvements to AI-assisted development workflows with tools like GitHub Copilot and Claude. AI Platform Development Implement integrations with LLMs: context management, prompt templating, response validation, and robust fallback strategies. Build and maintain evaluation frameworks for reproducible model testing. Establish observability and performance tracking for AI services. Participate in designing vector-based retrieval and model serving infrastructure as custom model capabilities become a focus. Compliance & Secure Design Advise and collaborate with Security through architecture and design phases, ensuring compliance and security standards are met. Apply secure-by-default principles (encryption, least privilege, audit logging) and stay current with financial data governance and privacy standards. Cross-Functional Influence & Partnership Collaborate with Product to translate business needs into technical designs and specifications, while contributing a strong architectural perspective. Support AI platform roadmap development with product leadership. Engage in companywide architectural forums and workgroups to drive engineering standards. Partner with Data Engineering, DevOps/SRE, and Security to ensure aligned technical foundations. Mentorship & Engineering Culture Mentor L3–L4 engineers through code reviews, design sessions, and architectural guidance. Promote engineering excellence, robust documentation, and reusable internal resources. Qualifications: Knowledge, Skills, and Abilities Required Qualifications 8+ years in professional software engineering, with demonstrated cross-team architectural influence Proven end-to-end delivery of AI-powered features, from product concepts to production Experience leading large, complex technical initiatives Strong proficiency in Python and RESTful API development (FastAPI, Django) Knowledge of full-stack development (React, TypeScript) Hands-on integration with third-party LLM/AI APIs Experience with AWS (preferred), including IAM, networking, managed services, and storage Solid foundation in distributed systems, API design, cloud-native architecture Comfortable with CI/CD pipelines, version control, Docker, and AI-assisted development tools Demonstrated ability to author durable technical proposals (RFCs, ADRs) Clear communicator with technical and non-technical stakeholders GenAI experience (e.g., RAG pipelines, prompt management, LLM evaluation, agent frameworks) Familiarity with vector databases/semantic search (Pinecone, pgvector, OpenSearch) Exposure to model serving, MLOps/LLMOps practices, and model lifecycle/deployment tools Experience building developer platforms, SDKs, and self-service engineering tooling Experience with IaC tools (Terraform/Pulumi), Kubernetes, and observability tools (Prometheus, Grafana, Datadog) Leadership in technical communities, mentoring, and architectural standards Bachelor’s in Computer Science, Software Engineering, or equivalent experience Preferred Qualifications Experience building in financial services, fintech, or regulated environments Working familiarity with AI governance in financial services (e.g., NCUA, model risk, fair lending) Understanding of SOC 2 or similar compliance frameworks from an engineering perspective What Success Looks Like A successful Staff Engineer at this level rapidly integrates with MeridianLink’s technical community, establishes themselves as a trusted architectural leader, and begins to deliver foundational platform contributions that empower other engineers. Over time, they will raise the bar for AI platform capability, quality, and confidence across the entire engineering organization.

Lead architectural design and hands-on development of AI platform infrastructure for customer-facing financial services products. | Requires 8+ years software engineering with AI platform expertise, Python and REST API proficiency, cross-team leadership, and experience in regulated environments. | As a senior individual contributor and one of the highest-ranking technical voices in our engineering organization, the Staff Software Engineer (Professional 5) plays a pivotal role in shaping our AI platform strategy. This role, part of the Platform Services team, is dedicated to designing and building foundational infrastructure to power MeridianLink’s expanding suite of customer-facing AI capabilities across our credit union software product lines. Rather than focusing solely on implementation, the Staff Engineer acts at the intersection of architecture, strategy, and hands-on technical delivery. You’ll own the technical direction for AI platform systems, establish standards and patterns, and lay the architectural groundwork to enable reliable, scalable, and responsible AI development. This engineer will report directly to the Director of Platform Services and exert significant cross-functional influence across multiple engineering teams. As our AI platform matures—from third-party LLM integrations toward custom model development—your responsibilities will evolve, giving you increasing ownership over our model infrastructure, evaluation harnesses, and data pipelines needed to support production-grade AI in a regulated financial environment. This fully remote position works within a sub-team in Platform Services, responsible for building and scaling MeridianLink’s first generation of customer-facing AI capabilities. The team closely partners with application engineering, cloud infrastructure, and applied AI, creating technological foundations vital for delivering intelligent features to our credit union clients. Key Competencies • Technical Mastery & Architecture: Define multi-team strategy, address architectural bottlenecks, and evaluate build vs. buy decisions across the platform. Architect scalable AI systems with security, compliance, and developer experience at the core. • Organizational Influence: Lead cross-team architecture reviews, drive collaborative alignment, establish engineering best practices, and set the bar for design reviews and production readiness. • AI & GenAI Platform Expertise: Leverage hands-on knowledge of LLM/GenAI application patterns (e.g., prompt management, RAG pipelines, evaluation harnesses) and design for safety, auditability, and compliance in financial services AI. • Mentorship: Mentor and sponsor engineers at L3–L4 levels, facilitate knowledge sharing, and drive tech debt and best practice initiatives for engineering excellence. • Stakeholder Engagement: Author clear, auditable architectural documentation; translate technical concepts for business partners; and partner with Product on business requirements and roadmaps. Expected Duties Architectural Leadership • Own the reference architecture for the AI platform, encompassing API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving. • Lead build-vs-buy evaluations for AI components, including due diligence and integration planning. • Design foundational data pipelines and infrastructure to support reliable, scalable AI services. • Define and document API contracts, standards, and platform interfaces across engineering. Hands-On Delivery • Contribute to backend development in Python and RESTful API design, including integrations with leading AI providers. • Participate in full-stack delivery when needed, using React/TypeScript/Vite to deliver AI features. • Build and maintain tooling, SDKs, and platform APIs to enable safe, scalable AI adoption by product teams. • Drive improvements to AI-assisted development workflows with tools like GitHub Copilot and Claude. AI Platform Development • Implement integrations with LLMs: context management, prompt templating, response validation, and robust fallback strategies. • Build and maintain evaluation frameworks for reproducible model testing. • Establish observability and performance tracking for AI services. • Participate in designing vector-based retrieval and model serving infrastructure as custom model capabilities become a focus. Compliance & Secure Design • Advise and collaborate with Security through architecture and design phases, ensuring compliance and security standards are met. • Apply secure-by-default principles (encryption, least privilege, audit logging) and stay current with financial data governance and privacy standards. Cross-Functional Influence & Partnership • Collaborate with Product to translate business needs into technical designs and specifications, while contributing a strong architectural perspective. • Support AI platform roadmap development with product leadership. • Engage in companywide architectural forums and workgroups to drive engineering standards. • Partner with Data Engineering, DevOps/SRE, and Security to ensure aligned technical foundations. Mentorship & Engineering Culture • Mentor L3–L4 engineers through code reviews, design sessions, and architectural guidance. • Promote engineering excellence, robust documentation, and reusable internal resources. Qualifications: Knowledge, Skills, and Abilities Required Qualifications • 8+ years in professional software engineering, with demonstrated cross-team architectural influence • Proven end-to-end delivery of AI-powered features, from product concepts to production • Experience leading large, complex technical initiatives • Strong proficiency in Python and RESTful API development (FastAPI, Django) • Knowledge of full-stack development (React, TypeScript) • Hands-on integration with third-party LLM/AI APIs • Experience with AWS (preferred), including IAM, networking, managed services, and storage • Solid foundation in distributed systems, API design, cloud-native architecture • Comfortable with CI/CD pipelines, version control, Docker, and AI-assisted development tools • Demonstrated ability to author durable technical proposals (RFCs, ADRs) • Clear communicator with technical and non-technical stakeholders • GenAI experience (e.g., RAG pipelines, prompt management, LLM evaluation, agent frameworks) • Familiarity with vector databases/semantic search (Pinecone, pgvector, OpenSearch) • Exposure to model serving, MLOps/LLMOps practices, and model lifecycle/deployment tools • Experience building developer platforms, SDKs, and self-service engineering tooling • Experience with IaC tools (Terraform/Pulumi), Kubernetes, and observability tools (Prometheus, Grafana, Datadog) • Leadership in technical communities, mentoring, and architectural standards • Bachelor’s in Computer Science, Software Engineering, or equivalent experience Preferred Qualifications • Experience building in financial services, fintech, or regulated environments • Working familiarity with AI governance in financial services (e.g., NCUA, model risk, fair lending) • Understanding of SOC 2 or similar compliance frameworks from an engineering perspective What Success Looks Like A successful Staff Engineer at this level rapidly integrates with MeridianLink’s technical community, establishes themselves as a trusted architectural leader, and begins to deliver foundational platform contributions that empower other engineers. Over time, they will raise the bar for AI platform capability, quality, and confidence across the entire engineering organization.

Lead product management team to execute partner integrations, develop and execute product strategies, manage P&Ls, and align cross-functional teams to drive business impact. | Bachelor’s degree with 6+ years experience, ability to lead teams, interpret financials, develop operational plans, analyze data, and communicate technical information effectively. | We are seeking a strategic and results-driven Manager of Product Management to lead the development and execution of product-level strategies that drive corporate growth and operational excellence. This role is pivotal in shaping product priorities, managing P&Ls, and aligning cross-functional teams to deliver high-impact solutions. Expected Duties: Lead team of independent contributors (ICs) to execute integrations for specific partners Participate in Partner Marketplace discussions to understand pending integrations Partner with product line peers to prioritize integrations Play key role in developing and executing strategy to improve partner integration approach and capabilities Communicate solutions to user problems with ICs and necessary teams Responsible for directing and guiding the work of teams and/or individuals Propose solutions and strategies to business challenges that drive business impact Qualifications: Knowledge, Skills, and Abilities You’re expected to execute processes within a subfunction or department. The role requires the establishment of annual objectives and execution of tactics to meet MeridianLink objectives. The role will receive assignments based on incremental objectives and defined processes. Bachelor’s degree and 6+ years of experience Ability to provide guidance and direction to subordinates within parameters of MeridianLink policies Ability to interpret financials within the scope of MeridianLink's impact and longevity Ability to execute financials, business planning, organizational priorities, and workforce Ability to work on issues requiring the analysis of data, and relevant factors and resolve problems Ability to develop and manage routine operational plans Ability to interact with subordinate supervisors and functional peer groups. Interaction requires interpreting and explaining information to audiences familiar with the subject Ability to work on issues requiring the analysis of data, and relevant factors, and resolve problems Ability to gain the cooperation of others by conducting presentations of technical information concerning specific projects and programs

Lead Software Engineers will design, develop, document, test, deploy, monitor, and debug software systems and applications. They will also create architectural approaches to guide the development team and ensure the technical quality of products. | Candidates should have a bachelor's degree and 6-8 years of related experience. Key qualifications include experience with distributed web applications, modern front-end frameworks, and various programming languages and technologies. | Position Summary Join our innovative team as a Lead Software Engineer, where you'll be at the forefront of developing and maintaining our cutting-edge software products. In this pivotal role, you'll design, develop, document, test, deploy, monitor, and debug both new and existing software systems and applications. The role will participate in the full development life cycle including requirements analysis and design. Responsibilities · Lead Software Engineers will work on frameworks or algorithms that are used across product lines · Expected to mentor lower-level peers and is seen as an informal lead · The role will create and execute processes and procedures for the technical quality of products · Lead Software Engineers will create "big picture" architectural approaches for software design and implementation to guide the development team · Responsible for ensuring security, performance, manageability, quality, and consistency of the software architecture across the system and providing technical guidance to development teams · Expected to conduct research, gather information, interpret data, identify requirements, and create a solution Qualifications, Skills & Abilities Bachelor’s degree and 6-8 years of related experience or equivalent work experience Ability to assess unusual circumstances and uses sophisticated analytical and problem-solving techniques to identify the cause Ability to resolve and assess a wide range of issues in creative ways and suggest variations in approach Ability to devise solutions based on limited information and precedent and adapts existing approaches to resolve issues Ability to enhance relationships and networks with senior internal/external partners who are not familiar with the subject matter often requires persuasion 6+ Years experience working with distributed web applications 4+ years of modern front end framework experience, React preferred 5+ years of experience creating web applications using .net framework, nodeJS, or comparable 5+ years of experience working with C# and vb.net Ability to solve problems, and to understand and learn new programming languages and technologies Test Driven Development Continuous Dev and Continuous Deployment Database design and tuning Cloud and Azure development Performance and security practices Automated testing methodologies Software design patterns is a must Agile/scrum development is a must Finance background preferred Experience with IAC (Infrastructure As Code) using Terraform, Terragrunt is a must. Knowledge on developing software using AI/CoPilot is highly preferred