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

Validate functionality, reliability, and security of Keeper Secrets Manager across web apps, SDKs, APIs and cloud environments. Execute manual and integration tests, report defects, support automation, and ensure security and compliance in KSM workflows.

Maintain and improve Keeper's browser extension and Snapshot feature by identifying, reproducing, and resolving autofill and web compatibility issues; collaborate with Support, Product, and Engineering; document fixes, improve tooling (Fixinator), and mentor team members to scale the Snapshot program.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.

Support pre-sales and post-sales technical processes: qualify technical requirements, deliver demos and trials, assist implementations and integrations, provide L2 support, collaborate with sales and engineering, update Salesforce, and travel up to 10% for customer meetings.

Design, execute, and scale partner-focused enablement programs (onboarding, certification, training) across Channel, MSP, and MSSP audiences. Align with Product, Marketing, Sales, and Customer Success, measure program performance, drive adoption, and improve partner readiness to support revenue growth.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Test Keeper's web-based Admin Console and supporting backend APIs for enterprise customers. Create and maintain test cases, execute cross-browser and API tests, document defects in Jira/Confluence, use TestRail for coverage, and collaborate with developers and PMs to ensure quality and timely resolution.

Design and execute integration and security-focused test plans for PAM and Keeper Secrets Manager. Validate integrations across cloud providers, IAM, CI/CD, and OS/databases; perform reliability and security testing; analyze logs and defects; contribute to automation and collaborate with engineering, product, and security teams to ensure reliability and compliance.

Design and maintain datasets, build and evaluate domain-specific ML and vision-language models for real-time privileged access threat detection; deploy and optimize Python/Docker inference services integrated with WebSocket/WebRTC and protocol-level interfaces; monitor and document production models.

Lead QA for AI/ML features: design and execute test plans, build Python automation to validate LLM outputs, guardrails, and data pipelines; perform regression, security/privacy validation, and analyze logs/metrics to ensure reliability.