增长-生命周期负责人
Growth - Lifecycle Lead
关于团队
增长团队推动ChatGPT在消费级和企业级市场以及其他OpenAI产品中的用户和收入增长。我们覆盖整个用户生命周期——从认知和获取到激活、留存和扩展——结合全球性能营销、AI驱动的工作流程、产品内优化、洞察、实验和创意运营工程。
关于职位
我们正在招聘一名生命周期负责人，以建立公司范围内的自有渠道能力，帮助各团队为用户提供相关、及时且可信赖的体验。这位高级、亲力亲为的领导者将制定生命周期策略，与工程团队合作构建编排和部署平台，并建立运营模式，使公司各团队能够安全高效地大规模启动和改进持续性项目。
你将处于平台、产品和活动策略的交汇点。你将与工程、产品、数据科学和分析团队合作，设计底层系统，并与产品营销经理和其他客户团队合作，设计帮助新用户、活跃用户和回归用户实现价值并建立持久习惯的旅程。
在此职位中，你将：
- 与产品团队合作，制定公司范围内的生命周期和自有渠道参与的愿景、路线图和运营模式。
- 与工程、产品、数据科学和分析团队合作，塑造身份、受众、资格、同意、触发、编排、决策、频率、实验、本地化、质量保证和可观测性的工具和基础设施。
- 定义可扩展的部署流程，包括自助服务和集中支持路径、输入、模板、审批、治理、服务级别和事件响应，使公司各团队能够安全高效地启动项目。
- 与产品营销经理和其他客户团队合作，将受众、产品和业务目标转化为涵盖注册、激活、延续、留存、复苏和变现的持续旅程策略。
- 领导设计、启动、迭代和优化跨邮件、推送和产品内消息的模板和旅程，包括完成闭环的深度链接落地页和点击后的产品体验。
- 与增长数据科学团队合作，构建连接触达、资格、交付、参与、落地行为、任务完成和留存活动的度量系统。
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About the Team
The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.
About the Role
We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach users with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale.
You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning users reach value and build durable habits.
In this role, you will:
- Partner with product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement.
- Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability.
- Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently.
- Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization.
- Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging, including the deep-linked landing and post-click product experiences that complete the loop.
- Partner with Growth DS to build a measurement system that connects reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through sound experiments and holdouts.
- Optimize the lifecycle portfolio—not just individual sends—by improving inventory, relevance, personalization, prioritization, and per-user frequency.
- Inform our owned channel / upsell strategy–establish a high bar for deliverability, user preferences, localization, and operational quality, and trust while influencing senior stakeholders across the company.
You might thrive in this role if you have:
- 10+ years of experience in lifecycle, CRM, retention, growth, product marketing, or marketing technology, ideally in a global consumer or subscription business.
- A track record of building and scaling lifecycle tooling or platforms with Engineering for multiple teams, products, audiences, or markets.
- Strong technical and product fluency across event and identity models, data pipelines, APIs, segmentation, triggering, decisioning, experimentation, and deployment systems; coding experience is not required.
- Deep campaign and journey craft, with experience designing evergreen programs that move users from message to product value and durable behavior.
- Strong experimentation and measurement judgment, including incrementality, holdouts, cohort quality, retention, and lifetime value—not just delivery or click metrics.
- Experience creating operating models, governance, templates, and quality standards that increase organizational velocity without creating channel chaos.
- Executive-level cross-functional influence and clear communication across Engineering, Product, Data Science, Analytics, PMM, Creative, Legal, Privacy, and regional teams.
- A hands-on, systems-oriented leadership style: you can set a multi-year direction, write the brief, inspect the journey, diagnose failures, and make pragmatic tradeoffs in a fast-moving environment.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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