Customer Success Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Customer Success Manager (AI): Owning technical support and adoption for AI-powered trust & safety platform with an accent on debugging APIs, workflows, and data flows. Focus on investigating issues, driving product adoption, and bridging customers with engineering for optimal outcomes.
Location: Prioritize candidates based in New York City or willing to relocate for close team collaboration.
Compensation: $175K - $200K
Company
Small, fast-moving team backed by Accel and Y Combinator building AI agents for real-time trust & safety, AI red teaming, and content integrity.
What you will do
- Debug and investigate customer issues across APIs, workflows, and data flows, reproducing problems and escalating with context.
- Drive adoption of new features by translating changes into practical workflows and ensuring implementation.
- Own customer relationships as primary contact, building trust with technical and non-technical stakeholders.
- Identify patterns in issues, refine support processes, and contribute to product feedback loops.
Requirements
- 4+ years in a technical, customer-facing role (Customer Success, Solutions, Technical Account Management, Implementation).
- Comfortable debugging issues across APIs, data, or system workflows.
- Experience with databases, logs, or structured data (e.g., SQL, querying).
- Ability to independently investigate and resolve issues without full engineering reliance.
- Excellent communication to explain technical concepts to diverse audiences.
- Strong ownership of outcomes and attention to details.
Nice to have
- Experience with data models, schemas, or backend systems.
- Worked on Trust & Safety, AI systems, or platform products.
- Experience in early-stage or fast-moving environments.
Culture & Benefits
- Intentional, direct, and focused team emphasizing real customer outcomes.
- High-leverage role impacting retention, trust, and product evolution.
- Structured support with SLAs, prioritization, and fast responses.
Hiring process
- Structured, skills-based interviews on real scenarios like handling escalations and prioritizing issues.
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