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

Leads ZoomInfo’s global income tax provision, tax accounting policies, federal tax compliance, tax receivable agreements, domestic audits, and technical tax research. Oversees SOX controls, process automation, direct-tax technology improvements, and tax software implementations. Manages two direct reports, mentors the tax team, and advises Finance, Legal, and Sales stakeholders on tax implications and commercial structures. The role requires quarterly travel to the Vancouver, Washington office and may be hybrid or fully remote.

Serves as a principal technical leader across Integrations, Workflows and Orchestration, and Data Management. Designs and modernizes distributed, event-driven backend systems; writes production code; resolves reliability issues; leads incident response; establishes engineering practices; shapes technical roadmaps; evaluates build-versus-buy decisions; documents architecture; mentors engineers; and influences teams and stakeholders without direct authority.

Leads enterprise data platform architecture, engineering standards, technical decisions, and development of scalable data products. Designs batch and streaming systems, governance, observability, security, and reliability practices. Partners cross-functionally, mentors engineers, drives modernization and migrations, and establishes reusable patterns for data modeling, orchestration, quality, and platform operations.

Leads the strategy, roadmap, and development of ZoomInfo’s agentic platform, including orchestration, planning, memory, tools, guardrails, observability, custom models, and decisioning capabilities. Partners with engineering and data science to deliver production-grade infrastructure, conducts orchestration R&D, launches new platform capabilities, and builds a senior product management organization.

Build and operate production infrastructure for entity-focused AI agents. Responsibilities include scheduled benchmarking and golden gates, scalable entity-agent pipelines, evidence adapters, replayable vendor stores, agent-platform deployment, review and batch tooling, rollback mechanisms, and comprehensive cost, quality, latency, and health instrumentation. The role partners with AI engineering, product, research, data, and platform teams to move prototypes into reliable, self-service production systems.

Architects and standardizes cloud infrastructure for data platforms on GCP, including Kubernetes, networking, Terraform, GitOps, CI/CD, observability, performance, cost, security, and disaster recovery. Evaluates emerging data technologies, runs prototypes, guides managed-service connectivity, supports governance and consolidation, and enables engineering teams through architecture reviews, workshops, reference implementations, and documented standards.

Own the person-data product portfolio, including accuracy, coverage, freshness, compliance, entity resolution, and privacy. Build the AI evaluation system for agent-generated records using golden sets, thresholds, human adjudication, precision, recall, and drift monitoring. Lead the transition from deterministic rules to agent-based processing, collaborate with engineering and data science, prototype in code, and drive cross-functional roadmap execution.

Own ZoomInfo’s growth product portfolio from acquisition through activation, monetization, expansion, and sales-assist routing. Define multi-quarter PLG strategy, run high-volume experimentation, analyze funnels and cohorts using SQL and Snowflake, design self-serve experiences and consumption-based pricing, and present growth economics to executives. Partner across engineering, design, marketing, sales, and customer success while hiring and coaching growth PMs and establishing experimentation standards.

The Senior Account Manager manages a portfolio of high-spend enterprise accounts, focusing on client retention, upsell opportunities, and measurable business outcomes utilizing ZoomInfo's data solutions.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.