Automation Engineer
Designs and deploys automated workflows that eliminate manual tasks, reduce errors, and accelerate revenue processes across the funnel.
Common Tools
The tech stack for this discipline
Zapier
AutomationA no-code workflow automation platform that connects 6,000+ apps through trigger-and-action workflows called Zaps, enabling non-technical users to automate repetitive data flows between business tools.
Used for
RevOps teams use Zapier for lightweight point-to-point automations — creating Salesforce leads from Typeform submissions, posting Slack notifications on deal close, or syncing data between tools without API development.
n8n
AutomationAn open-source, self-hostable workflow automation platform with a visual node-based editor, offering 400+ integrations and the ability to write custom JavaScript for complex data transformations.
Used for
RevOps teams with engineering resources use n8n for complex, privacy-sensitive, or cost-sensitive automation workflows — building self-hosted pipelines for lead enrichment, CRM sync, and internal notification systems.
Make
AutomationA visual no-code/low-code automation platform (formerly Integromat) that handles complex, multi-step workflows with conditional logic, data transformation, and error handling across 1,500+ app integrations.
Used for
RevOps teams use Make to build more sophisticated automation scenarios than Zapier allows — multi-branch lead routing, conditional field updates across systems, and complex data transformation pipelines between tools.
Workato
AutomationAn enterprise integration and automation platform that enables technical and non-technical teams to build sophisticated multi-step workflows across enterprise systems with governance, security, and error handling at scale.
Used for
RevOps teams at enterprise organisations use Workato to automate complex quote-to-cash workflows, bi-directional CRM syncs, and cross-system data orchestration processes that require enterprise-grade reliability and auditability.
LeanData
RoutingA go-to-market operations platform specialising in lead-to-account matching, automated lead routing, and revenue orchestration workflows built natively on Salesforce.
Used for
RevOps teams use LeanData to automatically match inbound leads to the correct account in Salesforce, route them to the right owner based on territory, segment, and round-robin rules, and trigger downstream engagement actions.
Chili Piper
RoutingA demand conversion and scheduling platform that enables instant meeting booking from web forms, automated lead routing, and calendar management for inbound sales teams.
Used for
RevOps teams use Chili Piper to convert inbound form fills into booked meetings in real time — routing qualified leads to the correct rep's calendar instantly, eliminating the traditional MQL-to-meeting drop-off delay.
Core Skills
What practitioners do day-to-day
API Integration
TechnicalThe skill of connecting software systems through their application programming interfaces — building, maintaining, and troubleshooting data flows between CRM, marketing, billing, and analytics platforms.
Business outcome
Reliable API integrations eliminate manual data re-entry, reduce reporting lag, ensure system-of-record consistency, and allow the revenue tech stack to operate as one coherent system.
Workflow Automation
TechnicalThe skill of identifying, designing, and implementing automated workflows that replace manual, repetitive RevOps tasks — using tools like Zapier, Make, Workato, or native CRM automation to improve speed and consistency.
Business outcome
Workflow automation eliminates hours of manual administrative work per week — reducing errors, improving process speed, and freeing RevOps team members for higher-value strategic work.
Process Mapping
ProcessThe skill of visually documenting business workflows — identifying inputs, outputs, decision points, system handoffs, and responsible owners — to reveal inefficiencies and design improvements.
Business outcome
Documented processes create consistency, reduce onboarding time for new team members, expose inefficiencies that slow revenue cycles, and provide the baseline needed to measure process improvement.
System Architecture
TechnicalThe ability to design the overall topology of a revenue technology stack — mapping how systems connect, where data flows, which system owns each record type, and how the architecture scales with the business.
Business outcome
A well-designed system architecture minimises integration debt, ensures data flows reliably between tools, reduces the cost of adding new capabilities, and prevents the tool sprawl that creates shadow reporting and inconsistent data.