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

Build and deploy scalable generative AI platform services, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, reliability, and hardware utilization. Own complex system architecture, define reliability objectives, lead technical reviews, ensure security and compliance, and mentor senior technical staff.

Leads the AirKey product management team and develops strategy, roadmap, and commercial partner implementations for Capital One’s proprietary authentication technology. The role involves translating customer and partner feedback into digital product solutions, driving 0-to-1 product development, identifying monetization opportunities, collaborating with technology teams, managing product risks, and building and developing product management talent.

Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agents, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI cost-performance governance, lead technical design reviews, shape foundational AI roadmaps, and mentor senior AI engineering leaders.

Designs, develops, and supports complex Workday HCM integrations across HR modules including HCM, Recruiting, Compensation, Payroll, and Benefits. Uses SOAP, REST, WSDL, XML, XSLT, Workday Studio, and automation workflows to deliver resilient solutions. Responsibilities include troubleshooting, security, data analysis, process improvement, testing, code reviews, stakeholder collaboration, vendor coordination, and leading integrators and configurators through Agile delivery.

Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, Benefits, and related modules. Translate business priorities into technical solutions, build and document system configurations, troubleshoot production issues, test updates, improve HR processes, and collaborate with product owners and stakeholders. The role also requires experience with business processes, calculated fields, custom reports, Workday security, reporting, and EIB data loads.

Leads an enterprise data science team developing agentic AI products and machine learning solutions. Responsibilities include defining modeling strategy, designing experiments, analyzing telemetry, influencing senior leaders, validating and stress-testing models, and overseeing the full model lifecycle from design through implementation. The role partners with engineering and research teams and requires extensive experience in large-scale analytics, machine learning, relational databases, cloud computing, and open-source programming.

Leads cloud asset intelligence and inventory initiatives, defining technical vision, architecture standards, and platform strategy. Designs scalable, secure, multi-tenant cloud platforms; modernizes monoliths into microservices and event-driven systems; and applies AI and automation to improve cloud operations. The role drives cross-divisional architecture, engineering standards, operational excellence, and executive influence while mentoring senior engineers and strengthening organizational capabilities.

Leads enterprise product management and experience strategy at Capital One. Reimagines customer and internal experiences, identifies value creation opportunities, translates business strategy into digital products, leverages technology, solves complex problems, mitigates product risks, and aligns cross-functional teams to deliver innovative and sustainable outcomes.