AI Product Manager – Enterprise Data Platforms (Contract)

Us Tech Solutions

Sunnyvale (CA)

On-site

USD 156,000 - 181,000

Full time

8 days ago

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Job summary

US Tech Solutions is seeking a Technical Product Manager to steer AI-driven product initiatives as an individual contributor, concentrating on data platforms and enterprise solutions. The role requires 5+ years of PM experience, strong technical acumen, and a track record with B2B products and engineering teams.

You will drive AI-powered product development, translate business needs into technical plans, and collaborate with ML infrastructure engineers.

Qualifications

  • 5+ years of Product Management experience in technically complex environments.
  • Hands-on experience with LLMs, Generative AI, and Agentic AI.
  • Experience with AI evaluation frameworks and model performance assessment.
  • Strong understanding of data platforms and AI modeling.
  • B2B product management experience and experience working with engineering teams.
  • Proven ability to manage complex initiatives and deliver products at scale.

Responsibilities

  • Drive product development and execution for AI-powered products and data platforms.
  • Translate business requirements into technical product priorities and deliverables.
  • Collaborate with ML infrastructure engineers and cross-functional stakeholders.
  • Support AI model evaluation, performance measurement, and product improvement.
  • Manage product initiatives independently, ensuring ownership and execution at scale.

Skills

Product Management
LLMs
Generative AI
Agentic AI
AI evaluation
Data platforms

Job description

US Tech Solutions is seeking a Technical Product Manager to steer AI-driven product initiatives as an individual contributor, concentrating on data platforms and enterprise solutions. The role requires 5+ years of PM experience, strong technical acumen, and a track record with B2B products and engineering teams.

You will drive AI-powered product development, translate business needs into technical plans, and collaborate with ML infrastructure engineers.

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