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

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Own frontend domains end to end, including architecture, implementation, testing, production quality, performance, accessibility, and security. Set technical direction, design reusable component systems, establish testing strategies, diagnose complex browser and production issues, and partner with Product, Design, QA, and engineering teams. Mentor engineers, review consequential changes, and use AI-first development practices while maintaining accountability for shipped software.

Leads frontend architecture strategy across products, directs design-system platform development, establishes quality, security, accessibility, performance, and testing standards, and creates tooling and guardrails for engineering teams. Sets AI-native frontend practices, improves production health, aligns Engineering, Product, Design, and QA, and develops senior engineers into broader technical ownership. The role remains hands-on for high-risk technical work while emphasizing organizational-scale technical direction.

Designs, deploys, configures, and maintains Genesys Cloud CX, IVR, ACD, and Workforce Management solutions. Troubleshoots complex incidents, supports integrations, develops test plans, manages vendors, and documents configurations. Provides end-user support for Genesys, Zoom, RightFax, and conferencing systems; manages telecommunications billing and reporting; supports change management and on-call operations. Requires strong Genesys Cloud expertise, telecom engineering experience, and occasional travel.

Own product strategy, roadmap, discovery, requirements, prioritization, delivery, validation, and success metrics. Use Claude and ChatGPT throughout the product lifecycle to accelerate research, requirements, prototyping, and analysis while applying sound judgment. Partner with Engineering, Design, Operations, Customer Success, Sales, and customers; lead AI adoption; and ensure accuracy, bias, and privacy safeguards for sensitive data.

Designs and owns CI/CD, cloud infrastructure, deployment automation, security gates, and observability across multiple application teams. Establishes shared DevSecOps standards, validates AI-generated pipelines and infrastructure, supports production operations and on-call response, and guides teams on secure, reliable software delivery. The role requires production experience with AWS or Azure, Kubernetes, containers, serverless, infrastructure as code, modern programming languages, security automation, compliance, and application monitoring.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.