Marketing Operations Manager
LangChainSan Francisco, CA$160k – $240kPosted 12 March 2026
Job Description
Marketing Operations Manager
ABOUT LANGCHAIN
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
ABOUT THE ROLE:
We’re looking for a Marketing Operations Manager to help scale the systems and data infrastructure behind our GTM engine.
This role owns supporting marketing in annual planning, managing the tech stack, attribution, data pipelines, reporting, automation, and campaign operations that enable the marketing and sales teams to operate effectively. You’ll work closely with Marketing, Sales, RevOps, and Data to ensure our GTM organization runs on clean data and reliable systems.
This is a highly cross-functional role ideal for someone who enjoys building systems, solving data problems, and turning complex funnels into actionable insights.
WHAT YOU WILL DO:
Strategy & Planning
- Partner with GTM leadership to define how marketing performance is measured across the funnel
- Help develop the metrics framework for marketing impact, including pipeline generation, opportunity influence, and deal acceleration, etc.
- Support annual planning and forecasting by providing data-driven insights into channel performance and pipeline contribution
- Translate business questions from leadership into analytical frameworks and measurable KPIs
Campaign Operations
- Support the execution of marketing programs across events, webinars, lifecycle, paid media, and field marketing
- Manage campaign setup, tracking, and attribution across systems including HubSpot, Salesforce, Bizzabo, Goldcast, Paid Ads, etc.
- Ensure campaigns are properly structured to capture performance data across the full funnel
- Maintain campaign taxonomy and naming conventions to ensure clean reporting
- Partner with the marketing team to ensure campaigns are properly instrumented and measurable
Data, Analytics & Attribution
- Build and maintain dashboards that measure marketing performance across the funnel
- Develop and improve attribution models that measure how marketing influences pipeline and revenue
- Analyze campaign performance, pipeline creation, and conversion metrics to identify opportunities for improvement
- Partner with the data team to maintain marketing datasets and reporting infrastructure
- Help leadership understand the drivers of pipeline growth through clear reporting and insights
Tooling & Automation
- Own the entire martech stack including HubSpot, Salesforce, Segment, among others.
- Maintain integrations between marketing, sales, and product data systems
- Improve lead routing, lifecycle management, and data enrichment processes
- Identify opportunities to automate manual workflows across marketing and sales operations
- Evaluate and implement new tools that improve the efficiency of the GTM organization
How to be successful in this role:
- 5+ years in Marketing Operations
- Experience supporting annual planning, pipeline forecasting, and performance analysis to inform GTM strategy
- Deep expertise with HubSpot and Salesforce
- Strong SQL skills and experience working with modern data stacks (BigQuery, dbt, Reverse ETL, etc.)
- Familiarity with web data and event tracking tools (Segment, Google Tag Manager, server-side tracking, etc.)
- Proficiency using AI tools and LLM-powered workflows to improve productivity and automate GTM operations
- Experience operating in a warehouse-first analytics environmen ... (truncated, view full listing at source)
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