Customer Success Manager - Enterprise

1 month ago
Full-time
Senior
Customer and Technical Support
HumanSignal

HumanSignal

HumanSignal is a data labeling platform for machine learning and AI that offers flexibility, security, and scalability. It supports all data types, formats, ML backends, and storage providers, enabling users to prepare training data, fine-tune models, ...

Internet Software & Services
1-10
$25M raised

Description

  • Own strategic customer relationships across onboarding, adoption, expansion, and renewal.
  • Partner with ML and data science teams to integrate Label Studio into data pipelines and labeling operations.
  • Drive business value by reducing labeling cost and improving model performance through efficient workflows and quality control.
  • Support usage expansion by aligning workflows to customer technical goals and advocating for feature enhancements internally.
  • Advise customers on annotation project setup, ontology design, human-in-the-loop processes, and data curation strategies.
  • Meet with enterprise customers to gather success criteria, identify gaps, and develop joint success plans.
  • Deliver onboarding and adoption plans that help customers operationalize and scale their labeling practices.
  • Capture product feedback and feature requests, and represent the voice of the customer in cross-functional discussions.
  • Build best practices, playbooks, and processes to support customer success at scale.
  • Monitor customer satisfaction, renewals, and expansion opportunities across strategic accounts.

Requirements

  • 5+ years in customer-facing technical roles such as Customer Success, Solutions Engineering, or Technical Account Management.
  • At least 3 years of experience managing customer relationships.
  • Familiarity with modern ML/AI workflows, including data collection, labeling, model training, quality assurance, and productionization.
  • Hands-on experience with data labeling or annotation platforms and how they connect to ML workflows.
  • Direct experience as a data scientist, ML engineer, or MLOps practitioner, or in a customer-facing role serving that audience.
  • Strong understanding of AI/ML organizational dynamics and the goals of technical leaders such as Heads of AI, Data Science, or Engineering.
  • Experience working in B2B SaaS, ideally at AI/ML companies or startups serving data science teams.
  • Willingness to apply or engage across North America.
  • Resume or LinkedIn profile required; a cover letter is appreciated but not required.

Benefits

  • Base salary targeted at $127,000–$152,000 USD, based on experience and skills.
  • Variable compensation with anticipated on-target earnings of $158,000–$190,000 USD.
  • Stock options.
  • Comprehensive health benefits.
  • Strong team culture rooted in transparency and collaboration.
  • Open and inclusive workplace with equal opportunity employment policies.
  • Accommodations and interview accessibility support available for candidates who need it.

Interested in this position?

Apply directly on the company website

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