Top Tech Jobs & Startup Jobs in Los Angeles, CA

Contract role supporting Talent Acquisition with multi-channel technical sourcing, high-volume interview scheduling across time zones, agency relationship management, and meticulous ATS documentation. Build candidate pipelines, coordinate complex interview logistics, provide candidate-facing communications, track metrics, and identify process improvements to ensure smooth, candidate-first hiring operations.

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.

Own recurring sales reporting, maintain Salesforce data integrity, produce executive and board-level pipeline and bookings metrics, deliver ad hoc analyses, support Salesforce enhancements, and drive process improvements to scale reporting and reduce manual work.

Manage end-to-end client implementations of MeridianLink software, lead onboarding and integrations, coordinate cross-functional teams, ensure on-time delivery, drive adoption, educate clients on advanced capabilities, and translate feedback to Product.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

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 a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Design, deploy, and optimize SQL Server, PostgreSQL, and MongoDB databases across cloud and on-premises; tune queries and indices; manage backups, DR, failover testing; secure and monitor systems; handle migrations, replication, clustering, and troubleshooting.

Perform FP&A analyses including variance analysis, forecasting, budgeting, and financial modeling. Consolidate company-wide reports, manage source data queries, build Anaplan models, produce performance reports and recommendations to support business decisions and planning.

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.