Marketing Operations Engineer

Mountain View · USD 150,000-175,000 / year · 5+ years experience · Full-time · Onsite · Posted Sep 30, 2026

At a glance

The Marketing Operations Engineer will own the architecture, standards, and data systems for a high-growth AI education platform. This role focuses on building automation layers and agentic workflows to replace manual processes, serving as the primary technical authority for the marketing stack. You will design systems that ensure data integrity and performance measurement while collaborating with engineering teams in a physical office environment.

Identify and automate high-leverage marketing workflows in partnership with lifecycle and operations teams.
Design and build agentic workflows for campaign QA, data validation, reconciliation, and automated reporting.
Develop monitoring agents to detect system failures, sync issues, or data anomalies in real-time.
Manage the HubSpot object model, property architecture, permissions, and reporting infrastructure.
Maintain the integration layer between HubSpot, Customer.io, data warehouses, PostHog, Stripe, and mobile applications.
Govern the contact database, including schema design, lifecycle stages, and deduplication logic.
Oversee deliverability infrastructure, including authentication, domain reputation, and bounce management.
Define and enforce UTM conventions, tag deployment, and server-side conversion tracking.
Build experimentation infrastructure to support rigorous testing across lifecycle, acquisition, and paid channels.
Scope, brief, and review technical work performed by contractors.

5+ years of experience building or owning marketing systems in marketing engineering, marketing ops, or growth engineering roles.
Production-level proficiency in JavaScript or Python.
Experience working with REST APIs, webhooks, and Git.
Deep experience administering a marketing automation or CRM platform such as HubSpot, Customer.io, Marketo, SFMC, or Braze.
Ability to write and debug SQL against a data warehouse.
Experience using BI tools and GA4 for data analysis.
Strong understanding of tracking, attribution, and tag management.
Proven track record of managing end-to-end projects like migrations or platform builds.
Demonstrated habit of documenting definitions, conventions, and processes.
Ability to work on-site in Mountain View, five days a week.

Show all 13 skills