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LangChainLangChain

Marketing Operations Strategy

Own and optimize LangChain's end-to-end marketing technology stack, campaign operations, tracking, and data flows. Build AI-powered automations and workflows while growing into strategic ABM and PLG initiatives. Requires 8-10 years marketing ops experience, systems thinking, and hands-on AI tool building.

About the job

Key Responsibilities

  • Own the Marketing Tech Stack: Take full ownership of our marketing technology stack (CRM, marketing automation, ad platforms, analytics). Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire.
  • Set the Standard for Best Practices: Establish governance for the stack (data hygiene, permissions, naming conventions, integration patterns). Act as the internal authority on systems connections and data locations.
  • Run End-to-End Campaign Operations: Own the operational backbone of every campaign from setup through QA, launch, and post-launch reporting. Serve as the go-to technical partner for the campaigns team, translating briefs into system configurations, automations, and integrations.
  • Own Tracking, Paid Ads & Tag Management: Manage tracking infrastructure including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Ensure proper instrumentation, accurate attribution, and trustworthy reporting.
  • Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack (paid media → marketing automation → CRM → reporting).
  • Build with AI: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work. Bring recommendations proactively.
  • Grow Into Strategic Initiatives: Lead key initiatives in account-based marketing (ABM) and product-led growth (PLG), building systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation).

Preferred Experience & Skills

  • Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer data platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce), and ad platforms.
  • Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.
  • Campaign Fluency: Proven track record owning end-to-end campaign operations in a fast-moving environment; comfort partnering closely with campaign teams.
  • An AI-Builder Mindset: Concrete examples of automations or internal tools created using LLMs or workflow platforms.
  • A Bias for the Weeds: Comfortable getting hands-on, building workflows, debugging integrations, and writing queries or scripts.
  • Self-Direction: Find and fix problems proactively.

Nice to Have

  • Background in paid media operations or ad tech integrations.
  • Experience running AI enablement for a non-technical team.

Compensation

  • $165,000 - $185,000 + equity
  • Competitive compensation including base salary, variable compensation (for relevant roles), meaningful equity, benefits, and perks. Actual compensation varies based on role, level, and location.

Skills

Marketing Operations, HubSpot, Segment, Zapier, Salesforce, Google Tag Manager, Marketing Automation, CRM, APIs, Data Integration, LLMs, AI Workflows, Paid Media, ABM, Product-Led Growth

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