Added
7 days ago
Type
Full time
Salary
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Related skills

docker linux python kubernetes machine learning

πŸ“‹ Description

  • Partner with Account Executives on strategic enterprise opportunities, leading technical discovery
  • Drive technical onboarding by guiding customers through installation, secure configuration, and
  • Architect integrations between the platform and customer artificial intelligence and machine
  • Develop custom solutions, including scripts, plug-ins, and application programming interfaces
  • Serve as the senior technical escalation point for strategic accounts, resolving complex technical
  • Deliver technical enablement sessions, workshops, and documentation that help customer teams become

🎯 Requirements

  • 5+ years of experience in a customer-facing technical role such as Solutions Architect, Sales
  • Hands-on experience building data labeling pipelines, annotation workflows, or other components of
  • Proven experience integrating SaaS platforms with machine learning pipelines and workflows
  • Strong proficiency in Python, REST APIs, Linux/Unix, and Docker, with Kubernetes experience a plus.
  • Experience working with multiple customer APIs and SDKs; JavaScript, CSS, and HTML experience is a
  • Proven ability to lead technical discovery, demonstrations, and proof-of-concepts during sales

🎁 Benefits

  • Base salary targeted between $122,500–$143,500 USD, based on experience and skills.
  • Variable compensation eligibility with anticipated OTE of $175,000–$205,000 USD when objectives are
  • Stock options.
  • Comprehensive health benefits.
  • Collaborative team culture centered on transparency and collaboration.
  • Opportunity to work with advanced AI, ML, and enterprise technologies.
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