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

Leads company-wide security, privacy, and compliance strategy for AI products and cloud infrastructure. Builds security programs, manages risk and incident response, oversees GLBA, FFIEC, and SOC 2 compliance, embeds secure architecture and DevSecOps practices, governs AI security and privacy, reports risk to executives and the board, and builds a high-performing security engineering team.

Own platform reliability, security, and operations for a regulated AI platform. Define SLOs and error budgets, build multi-region disaster recovery, manage AWS and Kubernetes infrastructure through GitOps and infrastructure-as-code, improve observability and incident response, and establish secure software delivery practices. The role also owns SOC 2 and regulatory infrastructure evidence, AI-specific security guardrails, supply-chain controls, and automation enabling a small senior engineering team to operate confidently.

Own outcomes, roadmap sequencing, technical tradeoffs, and execution for a defined product subdomain or initiative. Partner closely with engineering, mentor junior PMs, use AI daily to accelerate product work, and operate effectively in a startup environment with moderate ambiguity. The role is onsite in San Francisco and values experience shipping real products, fintech or financial services expertise, conversational or agentic AI experience, and 0-to-1 product development.

Leads financial planning, forecasting, budgeting, cash flow, accounting operations, reporting, revenue recognition, tax compliance, audits, internal controls, and board and investor reporting. Partners with executives on capital allocation and growth decisions, manages banking relationships and finance systems, oversees multi-state and international finance, and builds the finance and accounting team.

Manage and grow strategic SaaS accounts across financial institutions. Responsibilities include renewals, upselling, cross-selling, executive business reviews, ROI communication, stakeholder management, vendor due diligence, contract negotiations, account health monitoring, and coordinating internal teams for expansion and rollout. The role requires understanding banking technology ecosystems, navigating complex buying processes, influencing senior decision-makers, and using sales methodologies such as Sandler or MEDDIC/MEDDPIC.

Leads the entire marketing function for an AI platform serving credit unions and community banks. Owns positioning, product marketing, demand generation, ABM, content, events, analyst relations, brand, sales enablement, pipeline contribution, and marketing metrics. Builds a small senior team, shapes pricing and product roadmap decisions, represents the company publicly, and establishes category leadership for agentic financial services technology.

Build and own end-to-end production modules for an AI-native fintech platform using LLMs. Ship weekly releases, create evaluation harnesses to verify model outputs, and maintain quality in live banking environments. Work on-agentic and conversational AI systems in a fast-paced, on-site San Francisco team.

Lead finance strategy and execution for a high-growth B2B SaaS company: own planning/forecasting, accounting and revenue recognition, audit readiness, finance systems and data, pricing/revops, treasury and investor relations, vendor/bank-grade diligence, compliance support, internal controls, and build a scalable finance team.

Own a portfolio of strategic credit union and community bank accounts as the primary customer contact. Drive adoption, retention, renewals, and expansion; lead executive business reviews; translate platform metrics into business insights; surface product gaps to Product/Engineering; maintain CRM forecasts and at-risk flags; act as a technically credible AI/product expert.

Build and own an internal AI-powered recruiting pipeline: end-to-end LLM-based sourcing, screening, AI interviews, evaluation logic, and deep integrations with ATS and scheduling to automate hiring workflows.