Marketing Operations Manager

Overview

Join Udemy to help define the future of learning.

Udemy is an AI-powered skill acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: transform lives through learning. Your work helps people worldwide build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17 000 businesses already learn with Udemy.

Where we work – Udemy is a global company headquartered in San Francisco with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in‑office position requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

• Accountability: unwavering commitment to owning results and taking responsibility for outcomes. Proactive communication ensures stakeholders remain informed.
• Consulting: strong systems thinker who sees beyond the present problem, identifies the fundamental "why", scopes solutions, and can push back on disagreement to achieve desired business outcomes.
• Proactiveness: curious mindset that identifies improvement opportunities through fact‑based analyses and asks diagnostic questions.
• Decision Making: critical thinker who follows a defined decision process, considers multiple perspectives, and communicates decisions clearly.

We are seeking a highly analytical Marketing Operations Manager to join our Marketing Operations function. The role focuses on marketing performance, data, and insights, supported by strong ownership of data hygiene and governance across the marketing tech stack and marketing‑to‑sales funnel. The ideal candidate combines advanced analytical expertise with a deep understanding of data quality, funnel measurement, and operational rigor.

• Conduct deep‑dive analyses on marketing investment efficiency, channel performance, buyer journeys, and lifecycle conversion metrics.
• Partner with the marketing team to translate data into insights that improve targeting, segmentation, campaign strategy, and pipeline impact.
• Support forecasting and planning with scenario modeling, attribution insights, and historical performance trends.
• Maintain scalable data models for marketing analytics; drive consistent KPI definitions, taxonomy, and reporting standards across the marketing organization.
• Help build, optimize, and scale dashboards, reporting, and insights using Databricks, SQL, Tableau, and other BI tools.

• Own data cleanliness, completeness, enrichment, and governance across marketing systems including Marketo, Salesforce (SFDC), and connected platforms.
• Monitor and improve data quality across the lead, contact, account, and opportunity objects to ensure accurate reporting and funnel visibility.
• Implement and optimize data governance processes, including naming conventions, field management, taxonomy, standardization, and compliance frameworks.
• Partner with Rev Ops and Sales Operations to align and consistently apply shared data structures and funnel definitions.
• Manage integrations and data flow between marketing systems using Workato, Full Circle, and other tools to ensure reliability, accuracy, and compliance.
• Identify data issues (duplicates, sync errors, schema drift, inconsistencies) and drive remediation and process improvements.

• 6+ years of experience in Marketing Operations, Revenue Operations, or Marketing Analytics.
• Expert‑level proficiency with Databricks, SQL, data modeling, and advanced analysis.
• Strong experience building dashboards and visualizations in Tableau.
• Hands‑on experience with Marketo, Salesforce, Workato, and Full Circle.
• Deep understanding of B2B SaaS funnels, attribution models, and data structures.
• Proven ability to convert complex data into actionable insights and clear storytelling.
• Strong attention to detail and familiarity with best practices in data quality, governance, and operational rigor.

• Experience working as a data science analyst.
• Experience…