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Описание вакансии
Текст:
TL;DR
Manager, Customer Success (L7) (Enterprise SaaS/AI): Leading enterprise customer success teams and strategic customer relationships with an accent on people leadership, scalable adoption programs, and AI consumption. Focus on coaching Enterprise CSMs, managing retention and expansion risks, advising executive stakeholders, and translating customer feedback into product improvements.
Location: San Francisco office with an office-centric hybrid schedule; standard in-office days are Monday, Tuesday, and Thursday, with varying work-from-home flexibility on Wednesday and Friday.
Base salary: $238,000–$280,000 per year, plus possible equity, sales incentive pay, and benefits.
Company
Asana is a human and AI collaboration platform used by teams worldwide to manage important goals and work.
What you will do
- Lead, coach, and develop a team of Enterprise Customer Success Managers through performance management and career planning.
- Build executive relationships with enterprise customers and lead executive business reviews and escalations.
- Design scalable programs, playbooks, and operating frameworks that improve customer health, product adoption, and AI consumption.
- Track portfolio risks, reduce churn, and identify expansion opportunities across strategic enterprise accounts.
- Partner with Sales on account strategy and collaborate with Product and Enablement on customer feedback, product gaps, and roadmap influence.
Requirements
- 7+ years of experience in Customer Success or Account Management within Enterprise SaaS.
- At least 2–3 years of direct people leadership or team management experience.
- Experience managing complex, high-value enterprise accounts and navigating C-suite relationships.
- Ability to build, execute, and iterate on scalable programs, playbooks, and processes.
- Strong analytical skills with experience managing GRR, NRR, adoption, and other SaaS metrics.
- Curiosity about AI tools and emerging technologies, with willingness to use them for productivity, collaboration, or decision-making.
Nice to have
- Experience in the AI or ML space.
Culture & Benefits
- Office-centric culture with hybrid work practices.
- Mental health, wellness, and fitness benefits.
- Career coaching and professional support.
- Inclusive family-building benefits.
- Long-term savings or retirement plans and in-office culinary options.
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