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Mid-Market Customer Success Manager (AI)
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Описание вакансии
Текст:
TL;DR
Mid-Market Customer Success Manager (AI): Managing a portfolio of B2B SaaS customers from implementation handoff through renewal with an accent on adoption, value realization, commercial ownership, and strategic customer partnerships. Focus on using data, automation, and scaled success programs to identify risk and expansion opportunities while advising Talent and HR leaders on AI-enabled hiring workflows.
Location: Remote - US
Company
is a high-growth Series B software company that created the Interview Intelligence category and helps companies improve hiring workflows and outcomes.
What you will do
- Own a portfolio of Mid-Market customers from implementation handoff through renewal.
- Drive customer rollout, training, adoption, and ongoing value realization.
- Manage renewals, communicate ROI and product value, and support retention and expansion.
- Deliver scalable customer success programs alongside targeted one-to-one engagement.
- Use usage data, health indicators, automation, and customer feedback to identify risks and opportunities.
- Partner with Sales, Implementation, Support, and Product while advising Talent and HR leaders on hiring workflows and interview strategy.
Requirements
- 3+ years of experience in Customer Success, Account Management, or a related customer-facing role at a B2B SaaS company.
- Experience managing onboarding, adoption, and renewals with commercial ownership.
- Ability to work autonomously, prioritize effectively, make sound decisions, and own outcomes.
- Experience using AI tools, automation, usage data, dashboards, and spreadsheets to improve efficiency and recommendations.
- Excellent written and verbal communication skills, including emails, presentations, executive readouts, and high-stakes meetings.
- Technical curiosity, adaptability, proactive problem-solving, and effective cross-functional collaboration.
Culture & Benefits
- Highly autonomous role with meaningful ownership of customer outcomes and commercial results.
- Opportunity to influence customer success programs and product improvements.
- Collaborative work across Sales, Implementation, Support, and Product.
- Focus on responsible AI and improving hiring decisions and outcomes.
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