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

Leads global Talent Acquisition as a player-coach, personally managing executive and strategic technical or business searches while modernizing recruiting through AI, emerging technology, metrics, and improved processes. Advises C-suite leaders on workforce strategy, develops recruiters, establishes performance standards, strengthens candidate experience, and translates talent-market intelligence across North America, EMEA, and APAC.

Provides on-site and remote technical support for macOS and Windows devices, office technology, Zoom Rooms, collaboration hardware, software, and workspace tools. Responsibilities include troubleshooting, hardware preparation, system installation and upgrades, employee onboarding and training, executive support, event and streaming technology support, security posture maintenance, and participation in on-call coverage. The role also collaborates on technology planning, testing, and implementation in a global SaaS environment.

Own the strategy, roadmap, delivery, enablement, messaging, metrics, and governance of employee-facing enterprise AI products. Lead discovery, prioritize backlogs, coordinate agile delivery, build self-service AI learning experiences, support agent development, and partner with Security, Legal, Data, HR, and Finance. Drive adoption, safe AI use, employee proficiency, self-service resolution, and measurable business outcomes through pilots, experimentation, training, communications, and responsible AI practices.

Build production integrations, AI agents, and multi-agent workflows directly with customer engineering teams. Integrate Zuora with metering, entitlement, ERP, CRM, and finance systems; develop AI monetization capabilities; implement evaluations, guardrails, observability, and security controls; and deploy solutions rapidly. Document product gaps, create reusable components, support warranty periods, and hand off production systems while enabling customer teams to operate them independently.

Lead the AI Platform engineering team building Zuora’s agentic platform, including runtime, orchestration, MCP integrations, context retrieval, model access, evaluation, observability, guardrails, and auditability. Remain hands-on by writing code at least 50% of the time while hiring and developing 5–8 engineers. Own architecture and roadmap, maintain weekly releases, and partner with Product, Security, and Architecture to deliver reliable enterprise software.

Leads Zuora’s AI platform strategy, architecture, and development. Builds secure, scalable shared capabilities for AI-powered products, agentic workflows, model orchestration, retrieval, context management, and enterprise system integration. Establishes governance, evaluation, observability, reliability, cost controls, and authorization standards while translating platform investments into business outcomes. Partners across Product, Engineering, Data, Security, Legal, and Compliance, and builds a high-impact AI platform organization.

Leads Zuora’s global alliances strategy and organization, building relationships with systems integrators, consulting firms, ISVs, cloud providers, and regional partners. The role drives joint go-to-market plans, co-selling, partner-sourced revenue, enablement, executive relationship management, commercial agreements, and cross-functional integration across sales, marketing, product, services, customer success, and finance.

Build and maintain Zuora’s shared React and TypeScript component library, design system, and developer tooling. Develop accessible, tested, reusable UI components and customer-facing product features; collaborate with Design and product teams; support Storybook documentation, visual regression testing, releases, and adoption. Create AI-assisted development workflows, review code, improve developer experience, mentor engineers, and uphold quality, performance, and accessibility standards across globally distributed teams.

Leads multiple engineering teams and managers responsible for a scalable payments platform. Owns technical strategy, architecture, performance, resilience, operational excellence, reliability, AI-enabled productivity, and engineering quality. Partners with Product, Cloud Engineering, Security, and payment gateway providers while recruiting, developing, and retaining engineering talent. Preferred experience includes payment gateways, processors, authorization, settlement, reconciliation, payment risk, transaction correctness, idempotency, payment security, and PCI compliance.

Lead Zuora’s product design vision and organization as the company evolves toward AI-native and agentic enterprise software. Define interaction models, design principles, and responsible AI practices; partner with Product, Engineering, AI, and executives; simplify complex workflows; build a coherent platform experience; engage customers; and attract and develop high-performing design talent. The role requires shaping product strategy, organizational transformation, and new customer experiences centered on intent, automation, trust, and measurable outcomes.