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

Lead day-to-day transaction management for large, multi-asset client portfolios: drive strategic planning, negotiate complex leases, manage brokers and legal review, produce financial and market analysis, oversee reporting and process improvements, and lead a team to deliver portfolio optimization and measurable client outcomes.

The CMFA will conduct financial analyses, perform due diligence, create Excel models, and prepare market data summaries for multifamily transactions.

Lead institutional valuation assignments including appraisal reports, cash flow projections, and present value analysis (using Argus Enterprise). Conduct market research, revenue/expense analysis, reconcile final values, manage multiple portfolios, interface with senior clients, travel domestically, obtain state licensing, and maintain ASC 820/IVS compliance.

Lead multi‑market operations, execute regional strategy, drive business development, and ensure consistent project delivery and risk management. Oversee sub‑regional financial performance, forecasting, and resource utilization. Mentor market leaders and partner with HR to develop talent and maintain client satisfaction.

Provide front-desk reception and exceptional customer service; manage incoming/outgoing mail and high-volume print jobs; maintain office and pantry supplies; set up and prepare conference rooms, including first-level audio/visual checks; greet and badge visitors, answer phones, escort guests, and report facility issues. Support additional service lines and perform assigned office/hospitality duties.

The Senior Manager of Data Engineering oversees the design and management of data platforms, mentors a team of engineers, and ensures project delivery meets quality standards. Responsibilities include hands-on technical contributions, team management, and stakeholder collaboration.

Lead end-to-end AI strategy and execution, building and operating enterprise ML, generative AI, and agentic systems. Own MLOps/LLMOps, model governance, monitoring, and cost optimization while recruiting and mentoring a multidisciplinary AI team and partnering with business leaders to deliver measurable AI-driven impact.

Senior technical leader responsible for executing enterprise AI strategy: building and deploying ML, generative AI, and agentic systems at scale; maturing MLOps/LLMOps and model governance; driving AI innovation and ROI; partnering on data, legal, and compliance; and recruiting and developing a high-performing data science and AI team.

Lead a multidisciplinary team to design, build, deploy, operate, and govern enterprise AI solutions (ML, generative AI, agentic systems). Drive MLOps/LLMOps, data pipeline partnerships, model monitoring, and AI governance. Champion AI innovation, recruit and develop talent, align AI roadmap with business goals, and ensure responsible, scalable deployments.

Serve as a strategic finance business partner for regional operations, leading budgeting, forecasting, month-end close, variance analysis, contract compliance, and financial reporting. Provide actionable analytics, support decision-making, identify risks and growth opportunities, improve processes and controls, and collaborate with operations, client services, legal, and corporate finance. Occasional travel to customer sites.