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

16 Days AgoSaved
In-Office
San Francisco, CA, USA
193K-240K Annually
Expert/Leader
193K-240K Annually
Expert/Leader
Real Estate • Financial Services
Leads a unified AI efficiency program across commercial real estate service lines, including facilities management, construction project management, lease administration, transaction management, and occupancy planning. Owns AI prioritization, ROI measurement, citizen AI governance, production deployment, process reengineering, and continuous improvement. Influences cross-functional operational and technology teams without direct authority while aligning JLL and client objectives. Requires deep commercial real estate operations experience, executive program management, AI and data fluency, and Six Sigma or equivalent process improvement rigor.
Top Skills: Agentic AiAICloud TechnologyMachine Learning
17 Days AgoSaved
In-Office
San Francisco, CA, USA
160K-240K Annually
Expert/Leader
160K-240K Annually
Expert/Leader
Real Estate • Financial Services
Leads global Purchase-to-Pay product strategy and design across procurement, accounts payable, supplier management, billing, and integrations. Owns design authority, roadmaps, business cases, governance, compliance, and build-versus-buy decisions. Develops AI and agentic automation use cases, validates feasibility and ROI, and partners with Finance, Engineering, Data and AI, Procurement, and vendors to deliver scalable, controlled finance transformation across 60+ countries.
Top Skills: Ai/MlAutogenAws BedrockAzure OpenaiEnterprise Integration PlatformsGenaiGoogle Vertex AiLangchainOracleOracle Ai Dp/ApexPeoplesoft Fscm 9.2S2PViewpost
17 Days AgoSaved
In-Office
San Francisco, CA, USA
187K-271K Annually
Senior level
187K-271K Annually
Senior level
Real Estate • Financial Services
Designs, prototypes, and deploys production-ready AI agent and full-stack solutions for complex enterprise problems. Responsibilities include system architecture, rapid solution delivery, AI agent and multi-agent development, MCP integrations, LLM and RAG workflows, evaluation and monitoring, front-end dashboards, technical documentation, stakeholder communication, and mentoring engineers. The role partners closely with product, program, and engineering teams in a fast-paced, ambiguous environment.
Top Skills: AngularArizeAutogenAWSAws Agent CoreAzureClaude CodeCodexCrewaiDockerGCPGithub ActionsKubernetesLangchainLanggraphLangsmithModel Context Protocol (Mcp)PgvectorPineconePythonRagReactSemantic KernelVueWeaviateWeights & Biases
Reposted 21 Days AgoSaved
In-Office
San Francisco, CA, USA
10K-12K Annually
Internship
10K-12K Annually
Internship
Real Estate • Financial Services
Supports life sciences program operations through dashboard management, status reporting, project documentation, meeting coordination, stakeholder follow-up, and PMO process improvement. The intern will learn program management and data visualization tools while completing a capstone project focused on program analytics or process optimization and presenting recommendations to leadership.
Top Skills: Microsoft Office SuitePower BITableau
21 Days AgoSaved
In-Office
San Francisco, CA, USA
200K-250K Annually
Expert/Leader
200K-250K Annually
Expert/Leader
Real Estate • Financial Services
Leads regional transaction management delivery for enterprise corporate real estate accounts. Oversees client governance, service quality, revenue growth, profitability, forecasting, compliance, staffing, and team development. Builds strategic client relationships, expands services, supports sales pursuits, coordinates with brokers, and partners with technology teams to optimize workflows and delivery across a complex matrixed organization.
Reposted 29 Days AgoSaved
In-Office
San Francisco, CA, USA
220K-320K Annually
Expert/Leader
220K-320K Annually
Expert/Leader
Real Estate • Financial Services
Designs and rapidly delivers production-ready solutions for complex data and AI problems. Responsibilities include architecting systems, building AI agents and multi-agent workflows, integrating LLMs and RAG, developing MCP integrations, creating front-end interfaces, implementing evaluation and monitoring, and collaborating with product, program, engineering, and business stakeholders. The role requires mentoring engineers, communicating architecture decisions, and deploying scalable solutions in enterprise environments.
Top Skills: AngularArizeAutogenAWSAws Agent CoreAzureClaude CodeCodexCrewaiDockerGCPGithub ActionsKubernetesLangchainLanggraphLangsmithModel Context Protocol (Mcp)PgvectorPineconePythonRagReactSemantic KernelVueWeaviateWeights & Biases
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