Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

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.

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

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.

Lead the development of AI-powered automation in a SaaS platform, focusing on strategy, customer engagement, and cross-functional delivery while ensuring compliance and product performance tracking.

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.

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.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.