Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish cost-performance governance, contribute to technical roadmaps, lead design reviews, and mentor senior AI engineering talent.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for scalability, latency, throughput, hardware utilization, and cost. Lead orchestration architecture, governance reviews, design councils, technical roadmaps, and mentorship while integrating heterogeneous AI systems into responsible production pipelines.

Lead a greenfield enterprise supplier-management product for Capital One. Develop business, product, pricing, marketing, credit-risk, and go-to-market strategies; build requirements; sequence execution; oversee concurrent programs; use quantitative and qualitative analysis to guide decisions; and collaborate across technology, sales, operations, and finance. Manage and develop high-performing teams while influencing executives, driving innovation, improving profitability, and delivering strategic outcomes in a dynamic environment.

Leads project management and operations for a large design organization. Develops operational strategy, manages cross-functional design and program teams, oversees standards and practice management, and drives portfolio prioritization, resourcing, metrics, and complex initiatives. Partners with executive, product, technology, and design leaders to scale impact, improve processes, and operationalize human-centered programs. Requires substantial project and people management experience, with preferred expertise in design operations, design systems, SDLC/PDLC, and design tools.

Supports CDX leadership with strategic analysis, workstream leadership, annual planning, landscape assessments, and thematic deep dives. Partners with product and engineering teams to shape product vision, build prototypes, and advance AI transformation. Also helps strengthen internal strategic capabilities through trainings and stakeholder relationship-building.

Conduct applied research and build AI foundation models from design through training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research areas may include deep learning, graph and sequential models, model fine-tuning, data preparation, robustness, explainability, and reinforcement learning. Translate advanced research into business outcomes and production systems.

Lead the design, development, deployment, and support of foundational AI infrastructure, including model access, LLM inference, similarity search, guardrails, evaluation, governance, observability, and optimization. Make build-versus-buy decisions, establish the technical roadmap, improve scalability, latency, throughput, and cost efficiency, and lead teams of engineers and AI professionals. Develop talent, promote responsible AI practices, and apply emerging research to production systems.

Analyze complex data, develop business intelligence tools, dashboards, and metrics, and build data solutions for self-service analytics. Manage data quality, metadata, lineage, governance, security, and access controls. Partner with business and technology teams to deliver insights and improve data management. The role uses Python, R, Spark, SQL, Snowflake, AWS, and visualization tools.

Lead Workday functional engineering for HCM, Recruiting, Compensation, Payroll, and Benefits. Configure business processes, calculated fields, reports, and integrations; translate business needs into scalable solutions; provide production support; troubleshoot and test changes; maintain documentation; research Workday updates; and collaborate with product owners, HR partners, stakeholders, and business teams to improve processes.

Build and support cloud-based data engineering solutions using Java, Scala, Python, databases, data warehouses, distributed computing, and streaming technologies. Collaborate with Agile engineering and product teams, develop and test full-stack solutions, optimize performance, review code, stay current with technology trends, and mentor other engineers. The role requires application development, big data, and cloud computing experience.