OpenAI
Growth - Lifecycle Lead (B2B)
- Employment type
- Full-time
- Workplace type
- Hybrid
- Location
- San Francisco · New York City · +1 location
- Published
- Sep 24, 2026
- Last checked
- Oct 26, 2026
About this role
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 businesses with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the small and medium business 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 businesses reach value and build durable habits.
This role is based in San Francisco, Seattle, or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Partner with B2B 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.