Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $239K - $325K per year, with generous equity, performance-related bonuses, and the following benefits:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
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.
Responsibilities
- 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.
Requirements
- 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.