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

Leads Apollo’s core data engineering organization, including Native Data, waterfall enrichment, and scraping platforms. Owns strategy, architecture, team growth, data acquisition, enrichment, synchronization, quality, freshness, monitoring, and large-scale ETL systems. Partners with executives and cross-functional teams to improve data coverage and reliability, establish feedback loops, select vendors, and apply AI to data acquisition and maintenance.

Leads and develops a Solutions Consulting team supporting enterprise and mid-market SaaS sales. Builds scalable presales operating systems, including playbooks, capacity models, coverage plans, enablement, and performance reporting. Personally supports strategic deals while partnering across Sales, Product, Engineering, Marketing, Operations, and Post-Sales. Drives executive engagement, complex solution design, deal execution, customer adoption, and improvements to win rates and time-to-value.

Manage day-to-day operations for Apollo’s San Francisco office, including vendors, building management, supplies, maintenance, access administration, onboarding logistics, events, communal spaces, and workplace safety. Coordinate with the Chief of Staff, IT, People Team, and compliance stakeholders to maintain a welcoming, safe, organized, and productive office. Resolve issues proactively, oversee vendor documentation and costs, support visitors and new hires, and help execute office policies and events.

Lead and scale Apollo.io’s global Talent Acquisition function across R&D, go-to-market, and G&A. Develop AI-powered recruiting strategies, build and mentor a high-performing recruiting team, partner with executives on workforce planning, establish recruiting metrics, improve employer branding, and implement scalable recruiting operations, tools, and systems.

Design, build, and scale major systems end-to-end. Own performance, reliability, and cost tradeoffs. Collaborate across product, design, and engineering to break down ambiguous problems, ship solutions, and raise team quality using AI-assisted development.

Set technical direction org-wide, own highest-stakes architectural bets, lead the AI/agents rebuild, raise engineering standards, mentor senior engineers, and align teams with product and platform strategy.

Own the financial partnership with Sales, Marketing, Partnerships, and RevOps. Lead revenue forecasting, long-range planning, scenario modeling, GTM investment economics, and analysis of SaaS metrics such as LTV:CAC, payback, pipeline conversion, sales capacity, and ARR. Present risks and opportunities to executives, support board materials and annual planning, and collaborate with Analytics and RevOps on forecasting data.

Build and lead Apollo’s Partner Operations function within Revenue Operations. Own partner operating models, systems architecture, data quality, attribution, reporting, lifecycle instrumentation, deal registration, commercial operations, and revenue-share coordination. Translate partnership strategy into scalable processes and cross-functional requirements across Systems, Data, Finance, Legal, and Partnerships. Use analytics, automation, and AI to improve partner performance, operational efficiency, and revenue visibility.

Own a portfolio of major technology alliances, developing joint business plans, driving field-level co-selling, generating partner-sourced pipeline and revenue, and executing joint marketing programs. Align executives, sales, marketing, product, and partnerships teams around shared goals. Initially operate as an individual contributor, then hire and lead Technology Partner Managers while establishing team structures, QBRs, planning cadences, and reporting processes.

Build and lead Apollo.io’s Data & Distribution Partnerships function from scratch. Own the data-reseller P&L, hire and manage quota-carrying AEs, develop demand generation and pricing strategies, and originate complex data, platform, marketplace, and embedded distribution partnerships. Personally structure and close bespoke commercial agreements while identifying new high-impact distribution opportunities and creating scalable partner models.