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

Reviews commercial real estate transactions for accurate commissions, documentation, payment terms, expense recovery, and ASC 606 revenue recognition compliance. Manages receivables, unapplied cash, commission payments, refunds, write-offs, and escalations. Supports transaction inquiries, coaching, reporting, UAT, and special projects while collaborating with brokers, operations, controllership, legal, and accounts receivable teams. Uses Salesforce, Power BI, Workday, and related systems to meet processing accuracy and service targets.

Performs institutional real estate valuations and consulting for quarterly and annual fair value reporting. Prepares appraisal reports, cash flow projections, present value analyses, comparable sales analyses, cost analyses, and final value reconciliations. Conducts market research, analyzes revenue and expenses, manages multiple assignments, maintains consistent portfolio methodologies, and presents market insights to clients and senior executives. Requires domestic travel, state licensing, advanced Excel and Argus Enterprise expertise, and strong analytical and communication skills.

Leads transaction management strategy and execution for complex client real estate portfolios. Develops market optimization plans, negotiates transactions, oversees brokerage and cross-functional resources, and advises corporate real estate stakeholders. Performs financial and market analysis, reporting, governance, and value calculations while improving processes through technology and AI-enabled solutions. Manages transaction teams, coaches direct reports, and ensures high-quality delivery, client satisfaction, and measurable portfolio value.

Provides front-office and office administration support, including visitor reception, telephone and EPABX operation, meeting and VIP visit coordination, mail and travel bookings, employee contact updates, vendor bill verification, access badge coordination, equipment issue reporting, and facilities management support.

Manages project controls for moderately complex capital projects, including schedule development, cost tracking, forecasting, accruals, reporting, variance identification, risk and trend analysis, stakeholder coordination, and documentation. Supports senior staff and clients with project controls deliverables across design, construction, and testing phases.

Combines GIS, business intelligence, and commercial real estate strategy to support portfolio planning and location decisions. Develops ArcGIS maps, dashboards, data pipelines, reporting solutions, and portfolio analytics. Integrates and validates data from multiple sources, supports workplace and occupancy strategy, automates reporting, and creates client-ready plans and recommendations. Partners with transaction teams, brokers, account leaders, and clients to translate business requirements into actionable scenarios and executive-level insights.

Leads enterprise project controls, planning, and scheduling for large-scale capital programs, particularly data centers. Develops integrated master schedules, governance frameworks, KPIs, dashboards, risk assessments, and scenario plans across design, procurement, construction, commissioning, and operations. Advises executive and client stakeholders, coordinates contractors and project teams, connects schedule performance to cost and business outcomes, and builds high-performing scheduling teams. Supports proposals, client presentations, and project controls thought leadership.

Leads enterprise planning and scheduling across large-scale capital and data center programs. Develops integrated master schedules, governance frameworks, reporting, KPIs, scenario analyses, and risk assessments. Advises executive stakeholders, aligns design, procurement, construction, commissioning, and operations, and communicates schedule risks and mitigation strategies. Builds and mentors scheduling teams, ensures schedule quality and data integrity, coordinates with cost and project leadership, and supports client presentations and business development.

Builds and operates production AI, machine learning, generative AI, and agentic systems. Responsibilities include designing ML architectures, developing models, implementing MLOps and LLMOps pipelines, monitoring production performance, establishing AI governance, and partnering with data engineering teams. The role sets technical standards, mentors engineers, drives scalable Databricks and Azure solutions, and influences architecture across multiple project and product teams.

Owns enterprise integration architecture across data and application systems. Defines integration standards, designs and builds complex integrations, creates reusable reference architectures, leads strategic architecture programs, modernizes legacy ESB and point-to-point systems, and governs security, reliability, observability, and data integrity. The role also coaches engineers and advises technical and business stakeholders across global teams.