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

Design and implement production-grade multi-agent LLM systems and agent workflows for advisor-facing tools. Build distributed, observable services (model serving, vector DBs, RAG) with memory/state management, validation, and compliance. Partner with product and engineering to optimize for latency, cost, and reliability, and establish evaluation frameworks to ensure grounded, auditable AI-driven insights for portfolio and advisor workflows.

Lead Franklin Templetons global talent acquisition strategy, creating a consistent recruitment framework across regions. Oversee experienced, early-career, and executive hiring; partner with business leaders on workforce planning; drive adoption of AI and recruitment technologies; strengthen employer branding and talent pipelines; use analytics to improve hiring outcomes; and develop a high-performing global TA team.

Serve as a product specialist for FTIS multi-asset model portfolios and ETFs, representing investment philosophy and performance. Support business development with ~50% travel, engage and support field sales and financial advisors, respond to on-demand inquiries, and prepare/execute client and sales meetings. Leverage investment strategy, portfolio construction knowledge, and analytics tools.

The Director will provide strategic insights and analysis on sales flows, product performance, and market dynamics, guiding decision-making for the Global Client Group. They will lead a small team and support executive communication related to earnings and strategic planning.

Lead sales strategy and execution for institutional liquidity in the U.S. western region. Build senior relationships with corporate treasurers, insurers, governments, and intermediaries. Drive growth of short-term, ultra-short, and tokenized liquidity solutions, manage full sales cycle, partner with product, distribution, digital assets, marketing, and client servicing to close complex institutional mandates.

Oversee implementation and analysis of quantitative fixed‑income risk models, monitor portfolio risk, deliver risk reviews, conduct independent research on risk/return drivers, integrate insights into strategies, and partner with portfolio managers and client teams on quantitative topics.

Serve as the technical-business liaison for Franklin Equity, designing and building Power BI reporting, automating workflows with Python, supporting AI adoption, partnering with tech and vendors (FactSet/Bloomberg), and leading cross-functional initiatives to improve research, portfolio management, and operations.