Founding Customer Success Manager - Teams & Growth
About the role
Founding role to own post-sales success for Gojiberry AI team customers, building the Customer Growth function from scratch and driving onboarding, adoption, retention and expansion for B2B SaaS customers.
Responsibilities
- Own the post-sales relationship for our team customers, typically companies with 2+ users
- Run onboarding and ensure new teams reach value quickly
- Understand each customer’s goals, workflow and GTM motion, then configure Gojiberry accordingly
- Proactively identify underutilizing customers and intervene before churn
- Drive adoption of new workflows, features and use cases across customer teams
- Identify expansion opportunities through additional seats, senders, credits or workflows
- Build processes we don’t have yet: segmentation, health scores, onboarding playbooks, success milestones, lifecycle touchpoints and reporting
- Turn customer conversations and usage data into clear feedback for Product
- Collaborate with Sales to ensure smooth handoff from closed deals to successful customers
- Help define world-class Customer Growth at Gojiberry
Qualifications
- 4+ years of experience in Customer Success, Customer Growth, Account Management or similar post-sales role in B2B SaaS
- Experience building systems in startup or scale-up environments
- End-to-end customer management: onboarding, adoption, retention and expansion
- Proactive, autonomous, and able to act without waiting for complaints
- Ability to use product data and signals to prioritize work
- Ability to communicate effectively with founders and sales teams
- Clear communication, fast pace, ownership mindset
- Comfort with ambiguity and creating structure where little exists
- English fluency
- Bonus: experience in sales tech, MarTech, PLG, AI or tools used by revenue teams
Skills
About Gojiberry AI
GTM Brain for small sales teams
GojiberryAI is a GTM Brain that helps sales teams find and convert high-intent leads by continuously learning what works across their go-to-market. Instead of relying on cold lists, it detects real buying signals like competitor engagement and social signals, job changes, hiring spikes, or funding events, then prioritizes the best prospects based on ICP fit and intent. It analyzes each lead’s context, generates personalized messages, starts conversations, and follows up automatically until a meeting is booked, while constantly optimizing targeting, messaging, and timing so performance compounds over time. The result is simple: 2 to 5x more replies, more qualified conversations, and a predictable pipeline without wasting time on low-intent prospects.
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