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

Designs and maintains data warehouses, semantic models, metrics layers, pipelines, dashboards, and certified datasets. Establishes KPI governance, data security, row-level access controls, quality standards, and observability. Builds Sigma, Power BI, and Databricks dashboards, supports self-service analytics, resolves BI issues, and enables AI/ML use cases. Collaborates with architecture, engineering, analysts, and business stakeholders to define requirements, document solutions, train users, and drive BI adoption.

Support implementation and configuration of benefits administration software by gathering requirements, translating needs into user stories, testing end-to-end functionality, training customers, and collaborating with cross-functional teams to ensure successful project delivery.

Lead customer-facing enterprise software implementations from kickoff through go-live, managing scope, budgets, schedules, resources, risks, stakeholders, requirements, proposals, documentation, training, and transition to support. Collaborate across professional services, sales, support, engineering, and technical services to deliver projects on time and within budget while improving project processes and portfolio performance.

Design, build, and maintain a scalable cloud platform using IaC and CI/CD. Lead DevOps/SRE practices, implement monitoring, security and compliance (SOC2/HIPAA/NIST), manage containers, troubleshoot infrastructure, and participate in on-call rotation while driving cross-team delivery.

Work with Business Analysts and customers to gather requirements, design and configure documents/forms, build complex templates and reports, map data sources, implement workflows in proprietary basys software, test and troubleshoot solutions, and use generative AI tools to accelerate delivery.

Manage the full post-sale customer lifecycle to drive adoption, retention, and revenue expansion. Build measurable success plans, surface expansion opportunities, mitigate churn via data-driven engagement, run QBRs, maintain CRM hygiene, and coordinate cross-functionally to deliver customer value and influence product and GTM strategy.

Lead and manage a software engineering team to deliver scalable, secure SaaS applications. Drive development best practices (code review, testing, CI/CD), align technical execution with business goals, mentor engineers, participate in architecture and design, monitor KPIs, and integrate generative AI tools to improve productivity. Oversee hiring, training, performance evaluations, and cross-functional collaboration in an Agile environment.