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

Lead enterprise data governance, privacy compliance, platform migration, and change-management initiatives for Consumer Behavior Analytics. Own the Data Ownership & Governance Controls process, support the Consumer Digital Behavior Data Product, partner with Product and Engineering, manage data stewardship and remediation, and communicate milestones, risks, and blockers to leadership and cross-functional stakeholders.

Build and support foundational AI platform components, including LLM inference, model training, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Contribute to technical strategy and roadmap, collaborate cross-functionally, and lead or mentor engineering teams while applying emerging AI research in production.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Python, Java, AWS, databases, Docker, Kubernetes, and other technologies. Collaborate with product managers, address regulatory needs, mentor engineers, evaluate code, and stay current with emerging technologies. The role requires at least four years of software engineering experience and cloud computing experience.

Leads large-scale technical programs and builds highly scalable products and platforms. Responsibilities include identifying technical risks, guiding technology decisions with senior leadership, developing TPM teams and practices, simplifying complex technical issues, coordinating cross-functional stakeholders, and ensuring execution, accountability, and business impact across complex programs.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses technologies including Java, Python, Go, Node.js, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL databases while staying current with emerging technologies and AI tooling.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization. Partner with engineers, scientists, program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Design, develop, test, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Partner with engineering, research, product, and program teams; contribute to technical vision and roadmap; and lead or influence teams developing responsible cloud-based AI solutions.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, and Benefits. Partner with product owners and HR stakeholders to translate business needs into solutions, improve processes, test new capabilities, troubleshoot production issues, document implementations, and maintain calculated fields, custom reports, security, and integrations. Research Workday updates and promote automation, technical excellence, and operational efficiency.

Leads technical programs across Business Cards and Payments, including integrating the Brex acquisition and building a technical program management practice. Oversees large-scale products and platforms, manages technical risks, guides senior technology decisions, and drives execution across product, engineering, design, and data science. Mentors and develops TPM leaders, establishes delivery accountability, and coordinates complex initiatives in regulated environments.