Top Tech Jobs & Startup Jobs

Provide global employment-law counseling across the employee lifecycle, including hiring, performance management, investigations, accommodations, separations, workforce changes, and disputes. Draft employment documents, coordinate with international local counsel, manage outside counsel, and build scalable legal processes, playbooks, training, and workflows in partnership with People, Legal Operations, and business leaders.

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.

Own full-cycle recruiting for complex senior and specialized R&D roles across engineering, data science, ML/AI, and security. Partner with hiring leaders on role calibration, sourcing strategy, market insights, candidate experience, and closing. Analyze Greenhouse and Gem pipeline data, build AI-powered recruiting workflows, lead hiring sprints, improve recruiting processes, and coordinate with People Operations and Compensation on offers and onboarding.

Leads the accounting function for a high-growth SaaS company, owning monthly, quarterly, and annual close processes, external audits, internal controls, accounting policies, and IPO readiness. Manages and develops the accounting team, partners on technical accounting matters including ASC 606, ASC 350-40, and ASC 718, and drives financial systems, automation, and AI tooling improvements. Reports financial risks and close status to the Controller and CFO.

Serve as a customer-facing technical presales expert partnering with Account Executives on discovery, solution design, demos, proof-of-concept trials, technical validation, and deal strategy. Facilitate post-sale handoffs, advise on customer value and expansion readiness, and provide feedback that shapes product, competitive, and go-to-market strategy. Mentor peers and develop scalable playbooks and GTM assets.

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.

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.

Lead Apollo’s SMB sales organization, managing 4–5 sales managers responsible for new business and account management. Own revenue performance, quota attainment, forecasting, pipeline health, sales strategy, territory design, and performance culture. Develop front-line leaders, improve sales processes, and represent the SMB segment in cross-functional and executive planning with Product, Engineering, Marketing, Customer Success, Operations, Onboarding, and Legal.

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.

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.