Principal AI/ML Platform Product Leader - Remote

Lever Test 12345

Florida

Remote

USD 195,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Home office budget
Quarterly offsites
Conference attendance support

Job summary

Orion Intelligence, Inc. is seeking a Principal Product Manager to own the end-to-end strategy for our ML deployment and inference platform.

You’ll work at the intersection of deeply technical ML infrastructure and real customer pain, translating complex system requirements into a product experience that data teams love. This high-autonomy, high-impact role reports to the VP of Product and partners with engineering, applied ML, and platform teams to ship scalable features and measure adoption

Qualifications

  • 8+ years of product management experience.
  • 3+ years focused on developer tools, infrastructure, or ML/AI platforms.
  • Bachelor's degree required; advanced degree a plus.

Responsibilities

  • Define and drive the product vision, strategy, and roadmap for our ML deployment and serving layer.
  • Partner closely with engineering, applied ML, and platform teams to ship scalable, reliable features.
  • Conduct deep customer discovery with enterprise ML teams to understand deployment workflows, latency requirements, and monitoring needs.
  • Own prioritization across a complex surface area including model versioning, A/B experimentation, inference optimization, and observability.
  • Represent the product externally with customers and analysts; contribute to sales enablement and competitive positioning.

Skills

Developer tools
ML platforms
Communication

Education

Bachelor's degree

Tools

PyTorch
TensorFlow
Kubeflow
SageMaker

Job description

Orion Intelligence, Inc. is seeking a Principal Product Manager to own the end-to-end strategy for our ML deployment and inference platform.

You’ll work at the intersection of deeply technical ML infrastructure and real customer pain, translating complex system requirements into a product experience that data teams love. This high-autonomy, high-impact role reports to the VP of Product and partners with engineering, applied ML, and platform teams to ship scalable features and measure adoption

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