Remote AI Product Manager — Build Data-Driven Insights

unitQ

San Francisco (CA)

On-site

USD 140,000 - 190,000

Full time

31 hours ago
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Benefits offered by this job

Stock Options
Flexible vacation
Medical coverage
Dental and Vision
Life Insurance
Internet/phone reimbursement
Generous leave
Dog-friendly office

Job summary

unitQ is hiring a Product Manager to lead data analytics and AI initiatives in San Francisco. You will help define the roadmap for systems that process, classify, and visualize large-scale user feedback using LLMs, RAG, and agentic frameworks.

You’ll partner with engineers, designers, and go-to-market teams to ship features that turn unstructured data into actionable insights and measurable product quality improvements at scale.

Qualifications

  • 4+ years of product management experience in B2B SaaS or AI/data-focused products.
  • Hands-on experience with ML/AI technologies including LLMs, RAG, or agentic frameworks.
  • Strong SQL skills and data exploration for decision making.
  • Excellent presentation and storytelling skills for executives and technical teams.

Responsibilities

  • Collaborate with engineering and design to deliver insights tailored to customer personas and integrated into workflows
  • Define and track product metrics like insight clarity, dashboard engagement, and decision impact
  • Work cross-functionally to deliver value from data ingestion to visualization and storytelling
  • Engage with customers, including product and support leaders at top tech companies, to gather feedback and shape solutions

Skills

Product management
Data analytics
SQL
ML/AI tech
Presentation & storytelling
Customer-facing
Data visualization

Tools

Looker
Retool
Tableau

Job description

unitQ is hiring a Product Manager to lead data analytics and AI initiatives in San Francisco. You will help define the roadmap for systems that process, classify, and visualize large-scale user feedback using LLMs, RAG, and agentic frameworks.

You’ll partner with engineers, designers, and go-to-market teams to ship features that turn unstructured data into actionable insights and measurable product quality improvements at scale.

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