LangChain

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    Infographic showing various Structural job openings at Langchain in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, and 8% Remote job distribution.

    Monetization Programs and Operations Lead

    LangChain

    San Francisco, CA • On-site

    Full-time

    Posted 23 days ago


    Job description

    Job Summary:
    LangChain is a company focused on making intelligent agents ubiquitous, helping developers transition from prototypes to production-ready AI agents. The Monetization Programs and Operations Lead will build systems and operational playbooks to drive long-term business scale, ensuring profitable growth across the customer lifecycle by bridging various teams and optimizing revenue strategies.
    Responsibilities:
    • 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.
    • 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.
    • 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.
    • 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:
    Required:
    • 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.
    Preferred:
    • MBA or PMP certification is a plus.
    Company:
    LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.