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

Owns an AI-focused finance product vertical end-to-end, including strategy, metrics, prioritization, technical design, regulated financial workflows, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to ensure accurate money movement, reliable failure handling, and trusted AI features. Requires strong system-design knowledge, experience with complex technical products in regulated domains, and hands-on judgment with LLM-based products and evaluation.

Owns technical direction and execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes production code; drives architecture decisions; resolves complex engineering problems; improves testing, security, observability, and development practices; and mentors engineers across teams. The role requires leading major initiatives from design through production in a globally distributed environment.

Owns technical direction and execution for major products and systems. Designs scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; writes code; leads architecture decisions; resolves production issues; improves engineering quality; and mentors engineers across teams. The role requires hands-on leadership, strong system design, and experience delivering complex production systems in distributed international teams.

Lead product direction, roadmaps, priorities, standards, and success metrics for major areas of an AI stockbroking app. Guide product managers, product owners, designers, and engineers across multiple squads; balance user experience, data, engineering, business, regulatory, and operational needs; drive launch quality and continuous improvement; and build a high-velocity product culture focused on measurable user value.

Lead product direction and execution for major areas of an AI neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide product managers, product owners, designers, and engineers while balancing regulatory, operational, user, technical, and business considerations.

Lead product direction, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide product managers, product owners, designers, and engineers across multiple squads; balance user experience, data, engineering, regulatory, operational, and business considerations; drive launch quality and continuous improvement across financial services including investing, payments, savings, insurance, and travel.

Lead product direction and execution for major areas of KIRA’s AI Finance App. Own roadmaps, priorities, product standards, metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide PMs, product owners, designers, and engineers while balancing regulatory, operational, UX, data, engineering, and business considerations.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.

Own AI Investing product areas across financial services, defining user problems, product direction, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch quickly, monitor outcomes, make trade-offs, and drive continuous improvements.