Marketing Operations Strategy
About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Marketing Operations Team
We're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools. You'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily.
Key Responsibilities
Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place.
Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live.
Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work.
Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy.
Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs.
Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively.
Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions.
Preferred Experience & Skills
Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & 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: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them.
An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms.
A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to.
Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks.
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