Product Marketing Lead

About Glean Glean is a Work AI platform that empowers organizations to work smarter with AI. It offers intelligent search, an AI assistant, and scalable AI agents on a secure, open platform with thousands of enterprise connectors and flexible LLM choice. About the Role Director, Growth Product Marketing – lead post‑sale customer engagement, growth, and retention. Own lifecycle marketing strategy, design programs, and build a team. Responsibilities Own end‑to‑end post‑sale marketing strategy across onboarding, activation, adoption, renewal, and expansion with clear lifecycle stages and metrics. Design and implement segmented lifecycle campaigns across email, in‑product, and other channels to accelerate time‑to‑value and improve adoption and retention. Partner closely with Customer Success and Sales on signal‑based programs for at‑risk accounts, renewal readiness, win‑back, and expansion opportunities. Develop upsell, cross‑sell, and expansion campaigns aligned to sales plays and account plans, using experimentation, behavioral data and AI. Serve as cross‑functional lead for post‑sale marketing, partnering with Product, Marketing, Sales, Customer Success, and RevOps to define measurement and scale programs. Build and mentor a small AI‑native team focused on customer marketing and lifecycle growth, while executing programs directly. Qualifications 8+ years of B2B SaaS marketing experience in customer, lifecycle, growth, or revenue marketing focused on post‑sale outcomes. Proven success driving adoption, retention, and expansion, with demonstrable impact on usage, renewals, NRR, or expansion pipeline. Strong operator able to balance strategy, hands‑on execution, and analytics in a fast‑moving environment. AI fluent, using the latest AI tools as a natural part of everyday work. Deep execution experience in customer and lifecycle marketing: segmentation, testing, automation, and multi‑touch journeys across email and in‑product channels. Strong analytical, written, and communication skills, turning customer behavior and data into clear programs, narratives, and executive‑ready insights. Collaborative, bias toward action, strong cross‑functional influence, and interest in AI and agentic workflows. Location Hybrid – 4 days a week in Mountain View or San Francisco office. Compensation & Benefits Base salary $220,000 – $300,000 annually, with variable compensation, equity, and benefits. Medical, vision, dental coverage; generous time‑off policy; 401(k) plan; home‑office improvement stipend; annual education and wellness stipends. Healthy lunches daily and regular events. EEO Statement We are committed to building a diverse, inclusive workplace. We do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI‑First Mindset We expect candidates to demonstrate AI fluency. As part of the interview process, you may complete a short AI‑focused exercise or discussion. #J-18808-Ljbffr