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The Account Executive is responsible for managing and growing accounts through strategic planning, client collaboration, and ensuring a positive customer experience, while meeting sales goals.

Serve as first-line client support: respond to inquiries, document interactions, resolve issues using established procedures, escalate when needed, coordinate across departments, mentor Level I associates, and assist with support process improvements.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

Lead the rollout of a pricing and packaging program for MeridianLink, overseeing annual updates and ongoing pricing evaluations while collaborating across teams to optimize revenue and minimize customer loss.

Lead end-to-end MeridianLink Consumer/Opening implementations from kickoff through UAT and go-live. Build and maintain project timelines, run milestone meetings, track JIRA tickets, coordinate Implementation Analysts, manage risks, provide stakeholder updates, and transition projects to support.

Lead end-to-end delivery of cross-functional AI/ML and SDLC modernization initiatives. Plan and drive projects, manage risks and dependencies, run Agile rituals, embed AI across requirements, development, testing, and release, and use tooling (Jira/Confluence) and engineering metrics to ensure aligned, measurable outcomes.

Lead a cross-functional engineering team with hands-on architecture and coding. Mentor engineers, drive technical execution, improve delivery practices, and collaborate with Product and QA to deliver reliable, modern cloud-based AI platform solutions.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Build and maintain org-scale CI/CD, AI tooling, and sandbox/agent infrastructure. Own features end-to-end, drive adoption, instrument platform impact, mentor engineers, and ensure secure, observable, cost-controlled AI sandbox environments.

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