Full-Time

Customer Success Manager

Updated on 8/23/2026

ept AI

ept AI

No salary listed

Remote in USA + 1 more

More locations: San Mateo, CA, USA

Remote

Category
Customer Experience & Support (1)
Required Skills
Machine Learning
Requirements
  • Have 5–8 years of experience in customer success, solutions, product, support, or technical account management roles within enterprise software or infrastructure-heavy environments.
  • Demonstrate strong technical literacy, ideally through an engineering background or experience supporting engineering-led products.
  • Communicate confidently with senior leaders, steer conversations, guide decisions, and create clarity in complex situations.
  • Synthesize customer signals, ask effective questions, and uncover underlying needs.
  • Lead high-stakes meetings, deliver presentations, and facilitate cross-functional sessions.
  • Maintain strong organization and a disciplined approach to planning, scheduling, and managing customer deliverables.
Responsibilities
  • Build strong, advisory-level relationships with senior stakeholders across product, support, sales, and engineering.
  • Understand customer objectives, operating constraints, and success metrics, and translate them into a clear adoption strategy.
  • Track value realization across customer success metrics such as CSAT improvements, ticket-deflection rates, representative productivity, and time-to-response.
  • Partner with Forward Deployed Engineering and Product teams to align technical execution with business goals.
  • Manage onboarding timelines, deliverables, and cross-functional coordination to keep deployments on track and predictable.
  • Anticipate issues early, remove friction, and ensure customers experience a smooth path from rollout to steady-state use.
  • Facilitate meetings and executive reviews covering both business and technical dimensions.
  • Listen closely to uncover root challenges, unspoken concerns, or evolving priorities.
  • Communicate platform capabilities and roadmap developments to technical leaders and operational teams.
  • Surface customer patterns, requirements, and feature gaps to Product and Engineering.
  • Help shape scalable playbooks, best practices, and feedback loops for customer programs.
  • Partner with Sales on expansions, renewals, and executive alignment.
Desired Qualifications
  • Experience in artificial intelligence, machine learning, developer platforms, or workflow automation.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A