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Factory

Marketing Operations Lead

Factory is hiring a Marketing Operations Lead in San Francisco, United States. Level rates it ; you can apply on Factory.

Level's read on this job

  • On Level's scale, this marketing role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions Databricks, Marketing Automation and marketing operations among its tools and skills.
  • Level classes it as a lead role.
  • Factory has 66 other open roles on Level.

AI in this role

Build and scale marketing operations, workflows, and analytics for an autonomous software development platform using automation tools.

databricksmarketing-automation
marketing-operationslifecycle-marketingdata-pipelinesmarketing-analytics

About Factory

Our mission is to create a world where software builds and improves itself.

We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.

In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).

About the Role

As Marketing Operations Lead, you will be a founding member of our GTM Strategy & Operations team where you will own the buildout of the marketing operations function from the ground up.

You will own the systems, workflows, data, and operating infrastructure that enable marketing to scale. You will be the primary operations partner to field marketing, growth marketing, product marketing, and product-led growth. You will also own the evolution of marketing-related workflows in Factory’s own product.

This is a hands-on individual contributor role for a technical builder with the potential to evolve into a people manager role as our GTM scales. This role reports to the Head of GTM Strategy & Operations. This is an in-office role based in our San Francisco headquarters.

What you will do and achieve

  • Build and administer the marketing automation platform and other marketing technology stack.

  • Build scalable processes for campaign ops, lead management, lifecycle programs, attribution, etc.

  • Create clear documentation, governance, and measurement standards for the marketing ecosystem.

  • Own all the definitions and technical implementation of marketing-related data structures and metrics.

  • Build the operational foundation for product-led growth, including user journeys, lifecycle workflows, product signals, and marketing activation.

  • Translate business requirements into reliable automations, integrations, data flows, and processes that help marketing achieve its goals across brand awareness, pipeline generation, and growth.

  • Find novel ways to use Factory droids to streamline and scale marketing workflows.

  • Partner with the broader centralized GTM Strategy & Operations team while maintaining clear ownership of Marketing and PLG Operations.

  • Own privacy and compliance implementation for marketing (GDPR, CCPA/CPRA, etc.).

  • Design for scale while keeping the team lean, automated, and high leverage.

Qualifications

  • 5+ years of experience in Marketing Operations or a related function.

  • Strong hands-on administration experience with Marketo or HubSpot.

  • Strong understanding of demand generation, lifecycle marketing, campaign operations, and marketing funnel measurement.

  • Experience administering and operationalizing Salesforce CRM.

  • Experience building marketing operations in an enterprise SaaS environment.

  • A technical mindset and the ability to learn and use new technologies quickly.

  • Experience designing systems and processes for a rapidly growing company.

  • Familiarity with GDPR, CCPA/CPRA and how it impacts marketing.

  • Comfort working cross-functionally with Marketing, Sales, Product, Data, Engineering, and Operations.

  • An operator’s mindset: you build, troubleshoot, document, and improve.

  • Strong AI fluency and a practical instinct for using AI to increase leverage.

This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)

How we rate this

Marketing Operations Lead at Factory rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Marketing OperationsLifecycle MarketingData PipelinesMarketing AnalyticsDatabricksMarketing Automation

Also common in marketing jobs at this level

Pay

Typical marketing job
$147k

This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs

Questions you could be asked

  1. Tell me about a project where marketing operations was part of your work. What did you do?
  2. Tell me about a project where lifecycle marketing was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where marketing analytics was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Marketing Operations, Lifecycle Marketing, Data Pipelines, Marketing Analytics, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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