Sales Operations Automation Engineer

Tech Sales Jobs; New York (NY); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary and equity

401(k) plan

Flexible PTO

Company holidays

Job summary

Archera seeks a Sales Operations Engineer to own the automations behind Channel Partner and AWS Alliances teams. You will build and maintain workflows in n8n and Salesforce that carry partner referrals, routing, attribution, and AWS processes, tracing data quality issues to their source.

You will sit with both teams on recurring calls, identify bottlenecks, and fix them at the source. The role requires hands-on experience with automation platforms and a data-focused mindset.

Qualifications

• 2+ years building and operating production automations in n8n, Zapier, or similar platforms or with Python.
• Working knowledge of webhooks, APIs, and managing integrations across systems.
• Solid Salesforce experience, especially Flows, APIs, and data models.
• Comfort with SQL and Python for data validation and monitoring.

Responsibilities

• Build and maintain n8n and Salesforce automations for partner referrals and opportunity routing.
• Join recurring calls with Partner and Alliances teams to review tickets and improve workflows.
• Reconcile Salesforce data across systems and define system ownership for fields.
• Monitor data pipelines and collaborate with Engineering to fix upstream issues.
• Design, test, and release changes safely; monitor workflows and troubleshoot failures.
• Migrate Zapier workflows to n8n and create reusable components.

Skills

Automation platforms

Salesforce automation

Python

SQL

APIs/webhooks

Data validation

Communication

Tools

n8n

Zapier

Salesforce

Git

Postgres

Job description

Archera seeks a Sales Operations Engineer to own the automations behind Channel Partner and AWS Alliances teams. You will build and maintain workflows in n8n and Salesforce that carry partner referrals, routing, attribution, and AWS processes, tracing data quality issues to their source.

You will sit with both teams on recurring calls, identify bottlenecks, and fix them at the source. The role requires hands-on experience with automation platforms and a data-focused mindset.