Customer.io

Customer.io

Technical Marketing Operations Manager

Americas Remote · Full-time

Sponsorship not specified$105k-$125kDetected 11 days ago
JavaScriptPythonSQLAccessibilitySalesforceSalesCustomer SuccessCommunicationProblem Solving

About the role

  • This role is at the heart of how we connect tools, automate processes, and make data accessible across the organization.
  • You'll work closely with Growth, Marketing, RevOps, Sales, and Customer Success to operationalize campaigns, integrate tools, improve data quality, and automate repeatable processes.
  • To thrive in this role, you'll need strong technical instincts, a builder's mindset, and a bias toward systems that are reliable, documented, and scalable.

Responsibilities

  • Build and own GTM integrations: Design, implement, and troubleshoot integrations across our marketing and revenue stack using APIs, webhooks, native integrations, automation platforms, and lightweight scripts.
  • Create reliable automation workflows: Build multi-step workflows in tools like Customer.io, Salesforce Flow, n8n, Zapier, and other GTM systems.
  • Support GTM systems architecture: Help define how tools should connect, where data should live, how fields should map, and how teams should use systems consistently across marketing, sales, success, and RevOps.
  • Improve data quality and accessibility: Build processes that improve data hygiene, enrichment, segmentation, attribution, reporting, and operational visibility across the GTM organization.
  • Collaborate with GTM teams: Partner with Growth, Marketing, Sales, Customer Success, Product, and RevOps to understand business needs and translate them into reliable technical solutions.
  • Experience building automations in tools like Customer.io, Salesforce Flow, n8n, Zapier, Make, Airtable, or similar platforms.
  • No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
  • 45-minute joint call with Hiring Manager and technical lead
  • 30-minute call with a cross-functional partner
  • We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Requirements

  • AI Proficiency: You'll regularly use AI to support your own technical work, whether that's debugging code, refining workflows, or surfacing relevant solutions through well-crafted prompts.
  • 2 to 5 years in Marketing Operations, Revenue Operations, Sales Operations, CX Operations, Solutions Engineering, or a similarly technical GTM systems role, ideally at a B2B SaaS company.
  • Strong hands-on experience working with APIs, webhooks, automation platforms, CRMs, marketing automation tools, and data systems.
  • Comfort reading API documentation, testing requests, inspecting payloads, troubleshooting errors, and understanding how data moves between systems.
  • Ability to write or modify lightweight scripts for operational tasks, such as batch data updates, CSV transformations, API calls, enrichment jobs, or one-off workflow fixes.
  • Strong problem-solving skills and the ability to independently diagnose ambiguous systems issues across multiple tools.
  • Excellent documentation habits, with the ability to explain technical systems clearly to non-technical stakeholders.
  • Comfort operating in a fast-growing startup environment where systems change quickly and practical judgment matters.
  • A team-oriented mindset with the ability to work effectively with cross-functional peers.
  • Ability to weigh competing priorities and identify the highest value projects.

Compensation

  • Starting salary for this role is $105,000-$125,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

Company info

  • Whether you're building in Customer.io, Salesforce, n8n, or Zapier, writing a lightweight script, or designing a better webhook-based workflow, your work will directly power how we acquire, engage, and retain customers.
  • What We're Looking For

This listing is sourced directly from Customer.io's careers page and normalized into a canonical job model.