LangChain

Revenue Operations

MonetizationProgramsandOperationsLead

$215–240k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Monetization Programs and Operations Lead at LangChain. Skills: Program Governance, Cross-functional Systems, Systemic Optimization, Commercial Architecture. Lead end-to-end delivery and program management of large-scale. Launch new product monetization tiers”

What You'll Achieve.

Ensure business scales profitably; Ensure backend infrastructure and go-to-market programs operate flawlessly; Capture all business value; Drive profitable product mix; Maximize Customer Lifetime Value (LTV)

Industry & Context.

Revenue Operations
Problems you'll solve

Diagnose systemic inefficiencies; Model program impact

What They're Looking For.

Must Have

7+ years of experience leading strategic, cross-functional programs, Bachelor’s degree in Business, Finance, Computer Science, Economics, or a related analytical field, Extensive experience governing or deeply collaborating with interconnected data infrastructure, Proven track record of orchestrating large-scale corporate programs, Advanced ability to parse complex operational, financial, and product data, Exceptional communication skills with a demonstrated ability to align diverse technical and business teams

Nice to Have

MBA or PMP certification is a plus

What You'll Do.

Lead end-to-end delivery and program management of large-scale

Launch new product monetization tiers

Manage global price increases

Execute macro market expansions

Translate strategic growth plans into cross-functional program roadmaps

and readiness metrics

Track long-term programmatic health by analyzing post-launch adoption

Recommend structural shifts

Own cross-functional data pathways and systems architecture

Bridge product-use telemetry/metering

Ensure seamless data continuity across platforms

Map user product behavior to financial cash recognition

Partner with engineering

and enterprise systems teams

Eliminate data silos and systemic data drops

Audit end-to-end commercial architecture

Proactively identify macro revenue leakage points

Establish proactive early warning metrics

Assess program success structurally

Identify systemic bottlenecks slowing growth

Design and implement structural

automated governance models

Enforce standard framework configurations and packaging models

and Marketing to operationalize

Analyze macro product and channel performance data

Evaluate programmatic strategies to drive profitable product mix

Maximize Customer Lifetime Value (LTV)

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering, Product, GTM and Finance; Engineering, Finance, Product, Marketing

Communication Scope

Align diverse teams

Process & Methodology

Program management, Roadmap definition, Milestone definition, Readiness metrics

Full Job Description

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. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. The Monetization Program Management and Operations Lead builds the structural systems, data pathways, and operational playbooks that drive long-term business scale. The primary mission is to govern, execute, and evaluate broad commercial programs that ensure the business scales profitably across the entire customer lifecycle. This position acts as a centralized architect bridging Engineering, Product, GTM and Finance. The role owns the continuous optimization loop—taking corporate-level revenue strategies (e.g., consumption-based rollouts, global pricing overhauls, structural monetization shifts) and translating them into automated, repeatable systems and programmatic workflo

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