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

Owns product management activities and roadmap for assigned products. Conducts technical and market research, defines product requirements with engineering and UI, coordinates cross-functional teams, builds business cases and vendor relationships, manages ROI and financial forecasting, measures impact of features, and identifies opportunities for innovation and growth.

Lead and operate CI/CD pipelines and cloud infrastructure using IaC (Terraform/ARM/CloudFormation) across Azure/AWS/GCP. Automate provisioning, monitoring, and scaling; implement logging and alerting (App Insights, Splunk, Datadog, Prometheus); enforce security and compliance; partner with dev/QA/security/release teams; troubleshoot production incidents and perform root cause analysis.

Lead quality engineering for cloud-based financial advisor platforms by designing and implementing automated tests, test strategies, CI/CD pipelines, observability, and mock services. Collaborate with product, architecture, and engineering teams to modernize applications, coach peers, and ensure high-quality deliveries using Agile practices.

Lead architecture and technical roadmap for cloud-native, high-performance Java systems. Design microservices, ensure security and availability, mentor engineers, and implement AWS-based, containerized, and IaC solutions.

Gather and document functional requirements for agent-facing servicing applications, define integrations/APIs with core banking systems, consult with stakeholders, identify AI/ML opportunities (fraud, KYC, automation), support testing and implementation, and act as SME while managing risks and compliance.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

Design, build, and deploy production-grade generative AI systems: multi-agent orchestration, advanced RAG with vector databases, integrate/swap LLMs, fine-tune models, optimize prompts and latency, and containerize services with monitoring and CI/CD.

Build and maintain cross-platform React Native mobile apps for iOS and Android. Implement end-to-end features, state management, API/BFF integrations, secure auth flows, performance optimizations, native module bridging, testing, CI/CD releases, and collaborate with architects, backend, QA, and DevOps to deliver production-grade applications.

Lead mobile automation testing: design, develop, and maintain automated test suites and frameworks for mobile apps, mentor engineers, collaborate with cross-functional teams, analyze results and defects, define automation strategy and best practices, and participate in Agile ceremonies while communicating status to stakeholders.