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

Manage the full customer lifecycle—onboarding, training, adoption, health monitoring, renewals, and expansion. Lead hands-on implementations tailored to customers’ financial workflows, monitor account health to prevent churn, build cross-functional relationships, use AI tools to prepare interactions and surface risk, maintain a structured task pipeline, and help scale CS playbooks, tooling, and processes.

Work with R&D to define testing strategies, build and run automated/manual tests and frameworks, track defects, validate releases for performance and security, and improve QA processes for factory automation and industrial software.

Customer-facing Applied AI Engineer who builds demos, prototypes, and proofs-of-concept, troubleshoots production streaming and async API issues, leads technical discovery, advises on architecture and scaling, collaborates with Product/Research/Engineering, and travels for on-site workshops and conferences (~10-25% travel). Acts as voice of the customer and contributes documentation and open-source integrations.

Design and develop ETL solutions using Talend and DataStage for data warehousing and BI. Work with Teradata/Oracle, perform data design and architecture, support Big Data integrations (Hadoop, Pig, Hive, Sqoop), and collaborate in global delivery across Retail/CPG/Logistics domains.

Serve as primary customer contact for equipment supply and rental: receive/place orders, quote and process invoices, recommend solutions, perform data entry, and provide excellent customer service to ensure timely order fulfillment and client satisfaction.

Player-coach sales role responsible for prospecting, closing new clients, managing and coaching a sales team, conducting consultations, negotiating contracts, tracking pipeline and sales metrics, and improving conversion performance.

Manage office operations, own new-hire onboarding, plan inclusive events, and support People Operations tasks (I-9s, recruiting coordination, benefits, offboarding). Improve processes and use AI to scale HR impact while building employee belonging.

Lead discovery, design, and delivery of AI-powered products for freight operations. Prioritize AI opportunities, run user research, define requirements and success metrics, partner with engineering to ship production-ready solutions, build product operations, and drive adoption and monitoring of AI workflows.

Provide advanced support for enterprise applications (Salesforce), diagnose and resolve complex incidents, fulfill service requests, create user stories/defects, update knowledge base, perform after-hours production changes, and mentor/train junior staff while participating in continuous improvement.

Manage end-to-end learning programs: coordinate logistics, develop instructional materials, deliver live training, maintain LMS tracking, identify learning gaps, and support People & Culture initiatives.