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

Investigates data governance issues using information management tools and data sources, identifies root causes, and partners with data owners, clients, vendors, and architects on resolution. Establishes governance baselines, standards, metrics, audits, and reporting. Defines governance requirements for data elements, integrates governance tests into ETL processes, communicates governance benefits, and drives continuous improvement of data management systems, policies, and processes.

Design, develop, test, deploy, and maintain scalable Java backend applications using Spring Boot and microservices. Build RESTful and SOAP integrations, optimize performance and reliability, implement security controls, and develop relational and NoSQL database solutions. Collaborate with architects, product owners, and frontend teams; participate in design reviews and architectural decisions; troubleshoot production issues; and uphold DevOps, CI/CD, coding, and Agile practices. Mentor junior developers and guide technical discussions across enterprise development teams.

Administer and optimize Seismic LiveDocs, including templates, forms, variables, and content automation workflows. Lead migration from legacy integrations to Snowflake, validate data mappings, troubleshoot integration and document-generation issues, and maintain data integrity and document quality. Collaborate with product, data, architecture, and business teams to implement scalable solutions while improving governance, reliability, and operational efficiency in a sales enablement environment.

Leads delivery of production LLM and AI systems, including multi-provider integrations, RAG, vector databases, agents, MCP tool use, guardrails, evaluation, observability, latency optimization, and cost management. Establishes organizational AI engineering standards, troubleshoots critical features hands-on, manages offshore delivery, reviews designs and code, and reports risks and progress to engineering leadership.

Lead end-to-end product design for web and mobile, collaborating with PMs, engineers, and researchers. Conduct user research and testing, create wireframes, prototypes, and design systems, ensure accessibility and data-informed decisions, and support implementation to deliver scalable eCommerce experiences.

The Senior UX Designer will create user-centered wireframes, prototypes, and mockups; conduct research and usability testing; use data and AI tools to improve workflows; facilitate design workshops; communicate design decisions to stakeholders; document requirements; and collaborate with engineering on implementation. The role advocates for users, contributes to design standards and frameworks, and delivers intuitive end-to-end experiences.

Develop the product marketing strategy and narrative for a digital platform serving investment bankers. Create positioning, persona-based messaging, executive decks, one-pagers, demos, internal communications, and video direction. Translate complex AI and workflow capabilities into compelling adoption materials, synthesize competitive insights, define launch and pilot strategies, and align Product, Design, Engineering, AI, and leadership around a consistent story.

Lead planning, execution, and delivery of enterprise technology projects. Manage scope, timelines, budgets, resources, risks, vendors, stakeholders, and communications across Agile, Scrum, and Waterfall environments. Oversee software development, technology implementations, cloud transformation, application modernization, and concurrent project priorities while ensuring business and technology objectives are achieved.

Build and maintain production-grade full-stack applications across frontend, backend, cloud infrastructure, and deployment pipelines. Develop responsive React or similar frontend applications, TypeScript and Node.js backend services, RESTful APIs, and AWS cloud-native architectures. Design serverless and container-based solutions, implement Generative AI and RAG applications, and work with vector databases, embeddings, retrieval pipelines, model evaluation, and prompt engineering. Own projects from design through deployment with minimal oversight.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.