5 дней назад
Customer Success Manager, Enterprise AI Governance
120 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Manager, Enterprise AI Governance (AI Governance/SaaS): Owning onboarding, implementation, adoption, retention, and expansion for complex enterprise AI governance accounts with an accent on multi-stakeholder delivery, regulatory frameworks, and customer enablement. Focus on structuring pilots, translating customer needs into platform configurations, feeding product feedback into roadmap decisions, and automating the CSM workflow with AI tools.
Location: Arlington, Virginia, United States
Base salary: $120,000–$140,000 per year, commensurate with experience.
Company
is an AI-native Public Benefit Corporation building an enterprise platform for responsible AI governance, backed by venture funding and serving regulated organizations.
What you will do
- Own onboarding and implementation for enterprise accounts across AI, legal, IT, and business stakeholders.
- Manage post-sale relationships for a portfolio of complex customers, driving adoption, retention, renewals, and expansion.
- Translate customer needs into platform configuration and workflow decisions, escalating technical requirements to engineering when appropriate.
- Advise customers on AI governance programs, including AI risk, the EU AI Act, NIST AI RMF, ISO 42001, cybersecurity, and compliance fundamentals.
- Run pilots and trials, support product launches with enablement and training, and provide structured customer feedback to product and engineering.
- Help develop AI Governance Enablement services and use AI tools to automate intake synthesis, health scoring, renewal preparation, and documentation.
Requirements
- 5+ years of Customer Success experience implementing AI or enterprise software solutions in large, complex organizations.
- Previous experience with governance, risk, or cybersecurity software.
- Ability to manage technical, compliance, and executive stakeholders within enterprise accounts.
- Technical proficiency to scope integrations and configurations and determine when engineering support is required.
- Working knowledge of AI risk, cybersecurity, or regulatory compliance frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, or SOC 2.
- Experience running structured pilots or trials that convert into long-term contracts, with strong written, verbal, and executive-level presentation skills.
Nice to have
- Experience in financial services, healthcare, insurance, defense, or government.
- Familiarity with HubSpot, Notion, or similar CS and GTM tools.
- Experience building services or solutions offerings alongside a software product.
- Hands-on experience using AI tools for workflow automation or internal tooling.
Culture & Benefits
- Meaningful equity in an early-stage, venture-backed company.
- Health, dental, and vision coverage.
- Unlimited paid time off.
- 401(k).
- Direct collaboration with the CEO, CTO, founders, policy, solutions engineering, sales, and business development teams.
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