Monetization Programs and Operations Lead
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Reach the decision-maker — $5About the role
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 workflows. The objective is to ensure that backend infrastructure and go-to-market programs operate flawlessly to capture all business value. Responsibilities: 1) Revenue Program Governance & Execution Lead the end-to-end delivery and program management of large-scale commercial initiatives, including launching new product monetization tiers, managing global price increases, and executing macro market expansions. Translate high-level strategic growth plans into cross-functional program roadmaps, defining milestones, system requirements, and readiness metrics across the enterprise. Track long-term programmatic health by analyzing post-launch adoption and financial performance against original business cases to recommend structural shifts. 2) Cross-Functional Systems Lifecycle Ownership Own the cross-functional data pathways and systems architecture required to power the full customer lifecycle, bridging product-use telemetry/metering, usage collection, billing engines, and enterprise ERP systems. Ensure seamless data continuity across these platforms so that broad monetization shifts or consumption-based strategies map accurately from a user’s product behavior to financial cash recognition. Partner with engineering, product, and enterprise systems teams to audit system logic, eliminating data silos and systemic data drops that cause delayed or inaccurate billing. 3) Systemic Effectiveness Diagnostics & Optimization Audit the end-to-end commercial architecture to proactively identify macro revenue leakage points, such as untracked feature usage, unmetered consumption, or system translation errors. Establish proactive early warning metrics to assess whether broad commercial programs are succeeding structurally or where systemic bottlenecks are slowing down company growth. Design and implement structural, automated governance models to ensure standard framework configurations and packaging models are enforced natively by internal systems. 4) Commercial Architecture & Alignment Partner with Product, Finance, and Marketing to operationalize high-level tier structures, subscription offerings, and structural value-bundling strategies. Analyze macro product and channel performance data to evaluate whether current programmatic strategies successfully drive a profitable product mix and maximize Customer Lifetime Value (LTV). Qualifications: 7+ years of experience leading strategic, cross-functional programs within Revenue Operations, Sales Effectiveness, Program Management, and/or Management Consulting. Bachelor’s degree in Business, Finance, Computer Science, Economics, or a related analytical field (MBA or PMP certification is a plus). Extensive experience governing or deeply collaborating with interconnected data infrastructure across the customer lifecycle—specifically integrating product usage/metering tools, subscription billing engines, and ERP financial systems. A proven track record of orchestrating large-scale corporate programs with highly complex technical and operational dependencies. Advanced ability to parse complex operational, financial, and product data to diagnose systemic inefficiencies and model the impact of program changes. Exceptional communication skills with a demonstrated ability to align diverse technical and business teams (Engineering, Finance, Product, Marketing) around structural revenue initiatives without direct authority. Compensation: Base salary of $215,000-240,000. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
About LangChain
LangChain builds developer frameworks and tooling (LangChain, LangGraph, LangSmith) for creating and operating LLM-powered applications and agents.
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