Jobs at Zapier

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

Lead Okta administration and SSO, build automations with Okta Workflows and Zapier, optimize SaaS spend and licensing, automate provisioning/deprovisioning via APIs, support and improve the macOS employee experience, triage IT issues, and manage SaaS tooling and reporting across the organization.

Lead enterprise ABM strategy and manage paid media across self-serve and enterprise motions. Build AI-powered workflows, oversee agency relationships and budgets, set metrics, run rapid experimentation, align with Sales/RevOps/Customer Success, and grow a small team while optimizing account-level pipeline performance.

The Automation Strategist will guide customers in automating processes, help identify use cases, and promote AI-enabled transformation, focusing on value delivery and relationship building.

Provide frontline IT support for Zapier employees in AU/NZ: troubleshoot Mac hardware/software, manage user accounts and Jamf tasks, escalate complex issues, create runbooks and self-service resources, assist with SSO/SAML integrations and build simple automations in Okta Workflows and Zapier.

We are seeking a Mid-level or Senior DevOps Engineer to design, implement, and improve CI/CD systems, ensure reliable software delivery, and collaborate across teams to enhance system performance and maintainability.

Own enterprise pipeline generation through signal-led, multi-channel demand gen campaigns. Partner with Enterprise AEs to target accounts, design ABM plays, run frequent experiments, craft outbound messaging, and build AI-driven workflows that automate engagement and accelerate deals from first touch to closed-won.

Run and maintain Zapier's incident program operations: manage incident tooling and on-call systems, build AI-powered automations and dashboards, maintain runbooks and enablement, operate reporting and observability, coordinate cross-functional stakeholders, and drive continuous improvement to keep incident response reliable and scalable.

Lead Zapier's Enterprise engineering organization responsible for identity, access, audit, admin tooling, and AI/agent governance. Define strategy and technical roadmap, ensure reliability of Tier-1 services, partner with Product, Sales, and Customer Success, shape AI-native engineering practices, build and develop managers and ICs, and oversee cross-org initiatives and incident leadership.

Lead R&D FP&A: own forecasting, budgeting, variance analysis, and cloud (AWS) cost modeling; evaluate AI investments; build decision-ready models; support executive and board reporting; improve forecasting, tooling, and data quality.

Drive high-velocity pre-sales through live chat, demos, and email to qualify and convert leads. Create and manage a sales pipeline, demonstrate Zapier use-cases and APIs, and provide product feedback to improve sales collateral and processes. Collaborate cross-functionally and hit quota targets.

The Manager, Sales Assist will lead a team to drive sales and customer growth, coach representatives, and engage with clients using data-driven strategies.

The role entails forecasting, planning, and analysis for Zapier's self-serve and new products businesses, requiring strong SQL skills and finance expertise.

Sell Zapier's AI orchestration and automation platform to mid-market customers. Own full sales cycle from prospecting through close and expansion, build pipeline via inbound/outbound, manage forecasts in HubSpot/Gong, collaborate with cross-functional teams, and provide product feedback.

Lead Zapiers security strategy for an AI-native SaaS platform. Own App and Infrastructure Security, Detection & Response, GRC, risk management, incident response, bug bounty triage, and enterprise security enablement. Partner with Product, Engineering, Legal, and GTM to embed secure-by-default design, shape AI-specific controls, support enterprise deals, and build a high-performing security engineering organization.