Marketing Operations Manager

SemgrepSan Francisco, CA
12d

About The Position

We're looking for a Marketing Operations Manager who doesn't wait for the engineering team to solve their problems. You're keen to move quickly and ship automation to solve them yourself. You’re as comfortable syncing data between systems as you are optimizing a nurture campaign. You think in workflows, hate repetitive manual tasks, and have a knack for turning fragmented processes into elegant, automated systems. This is not a "maintain the marketing calendar" role. You'll own the full marketing tech stack, architect integrations, and use modern AI-assisted coding tools ("vibe coding") to build lightweight internal tools that make the entire marketing team faster and smarter.

Requirements

  • 3–5+ years of marketing operations or revenue operations experience, ideally at a B2B SaaS company in the San Francisco Bay Area
  • Hands-on Marketo experience (Smart Campaigns, lead lifecycle, scoring, program architecture) — bonus for Marketo Certified Expert
  • Deep Salesforce knowledge: object model, flows, campaign influence, lead/contact/opportunity relationships
  • Experience building integrations between SaaS tools using APIs, webhooks, or iPaaS platforms (Zapier, Make, Workato, etc.)
  • Strong analytical thinking with a track record of turning messy processes into documentation and streamlined systems
  • Experience in a high-growth startup environment with scrappy, build-it-yourself culture
  • Asana power user — templates, rules, reporting, portfolio management
  • Experience using AI coding tools (Cursor, Claude, Copilot, v0) to build internal tooling without traditional engineering support

Nice To Haves

  • Proficiency in SQL; comfortable writing and debugging queries in Snowflake or similar data warehouse
  • Demonstrated ability to write code (Python, JavaScript, or similar) to build automations, scripts, or integrations — AI-assisted coding strongly encouraged
  • Experience with Metabase, Looker, or similar BI/reporting tools
  • Familiarity with dbt or lightweight data transformation workflows
  • Experience using AI coding tools (Cursor, Claude, Copilot, v0) to build internal tooling without traditional engineering support
  • Exposure to revenue attribution platforms (Dreamdata, Bizible/Marketo Measure, etc.)

Responsibilities

  • Automation & Workflow Engineering
  • Identify and eliminate repetitive manual processes across marketing — if it happens more than thrice, you automate it
  • Use AI-assisted coding tools (Cursor, Claude, Copilot) to build your own scripts, integrations, and internal tools without needing an engineering ticket
  • Design and maintain automated workflows connecting Marketo, Salesforce, Asana, Snowflake, and other platforms via APIs, webhooks, and iPaaS tools
  • Build lightweight internal dashboards or Slack bots to surface marketing performance data in real time
  • Marketing Technology & Stack Ownership
  • Own the end-to-end marketing tech stack: administration, integrations, data hygiene, and vendor relationships
  • Manage Marketo programs, lead scoring models, routing logic, and campaign operations at scale
  • Maintain bidirectional sync between Marketo and Salesforce — lifecycle stages, attribution, and MQL/SQL definitions
  • Partner with the Marketing Analytics and Data team to ensure marketing data flows cleanly into Snowflake for reporting and analysis (Metabase/BI tooling)
  • Data, Analytics & Attribution
  • Own the channel and event tagging that feeds our funnel metrics
  • Audit and enforce UTM tracking standards across all channels
  • Partner with Marketing Analytics team to ensure all lifecycle and acquisition data points are feeding our pacing and attribution reporting
  • Cross-Functional Operations
  • Partner with demand gen, content, product marketing, and sales to operationalize campaigns and programs end-to-end
  • Manage project workflows in Asana to build templates, automations, and reporting for marketing team execution
  • Be the connective tissue between marketing, sales, finance, and data teams when it comes to systems and process
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