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

Leads complex, business-embedded AI deployments from discovery through production stabilization and ownership transfer. Partners with business leaders to redesign workflows, architects and builds LLM applications, agents, retrieval systems, and integrations, and establishes testing, security, observability, and governance practices. Sets technical direction, mentors engineers, resolves cross-functional dependencies, creates reusable components and playbooks, and communicates business value, risks, and progress to executives.

Participate in a two-year real estate investment training program focused on acquisitions, development, financing, and transaction analysis. Build discounted cash flow and pro forma models, prepare investment committee materials, maintain comparable sales databases and land-bank forecasts, monitor Salesforce deployment pipelines, and collaborate with brokers, architects, contractors, engineers, and cross-functional teams. The role requires advanced Excel skills, real estate market knowledge, analytical ability, relationship-building, and flexibility to relocate between San Francisco and New York.

Lead an AI platform effort to build production AI capabilities that convert building, project, asset, and operational data into reusable, governed solutions. Design and deliver RAG, agents, multimodal data pipelines, orchestration, evaluation, and human-in-the-loop workflows from prototype to production, partnering with business, security, and operations.

Supports global compensation programs through salary, incentive, and equity planning; job evaluation; market pricing; survey participation; workforce data analysis; reporting; and compensation guidance. Partners with HR Technology, HR Business Partners, and Talent Acquisition while maintaining Workday data integrity. Contributes to process redesign, automation, AI-enabled tools, compliance reviews, and compensation-related projects.

Leads enterprise AI innovation through hypothesis-driven pilots, evaluation, and experimentation with agentic workflows, RAG, text-to-SQL, and emerging LLM techniques. Designs secure, observable, cost-aware AWS architectures, develops reference implementations, and transitions successful prototypes into scalable enterprise patterns. Communicates technical findings, business impact, tradeoffs, and recommendations while evaluating AI tools, frameworks, vendors, and research.

Lead AI product initiatives from discovery through launch and adoption: prioritize use cases, define vision, build backlogs, partner with engineering and platform teams, validate value, measure OKRs/KPIs, govern responsible AI, and scale reusable AI patterns to improve customer, employee, and operational outcomes.

Lead and run the Investment Analyst Program, manage workforce planning and analyst rotations, mentor and train analysts, standardize analytical frameworks, support deal activity, recruit top early-career talent, and elevate program branding and learning experiences.

Lead design, prototyping, deployment, and continuous improvement of AI-powered applications, agents, copilots, and automations. Integrate AI with portals, workflows, data platforms, and AWS; define reusable patterns (RAG, prompts, agent workflows); ensure secure, observable, and cost-effective production systems; measure adoption and ROI; and mentor engineers, contractors, and vendors.