Staff Product Manager, Data Analytics & AI Platforms

Hex

New York (NY)

Hybrid

USD 177,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Market-competitive salary
Equity
Health benefits
Flexible PTO

Job summary

Hex is seeking a Product Manager to advance our analytics features—notebooks, dashboards, and conversational AI interfaces—working across product, engineering, and GTM to drive market success. The role blends deep product discipline with collaboration with sales to ensure value is delivered in the market.

The ideal candidate has 7+ years in product roles related to data and analytics, and thrives in a growth-stage startup culture, delivering fast, iterative improvements in a hybrid NYC-area

Qualifications

  • 7+ years hands-on experience in product management, solutions or customer-engaged engineering.
  • Experience with technical products and ability to dive deep into complex systems.
  • Growth-stage startup mindset with rapid shipping and iteration.

Responsibilities

  • Own an area of the product and drive a coherent vision aligned with customer needs.
  • Conduct early discovery to identify valuable problems to solve.
  • Engage deeply with customers to understand roles and outcomes.
  • Perform competitive research in data and analytics space; analyze market.
  • Collaborate with engineering, design and GTM teams to deliver high-impact features.
  • Learn from the sales process to refine resonance of the product.

Skills

Product management
Data analytics
Customer engagement
Deep technical understanding
Fast shipping

Job description

Hex is seeking a Product Manager to advance our analytics features—notebooks, dashboards, and conversational AI interfaces—working across product, engineering, and GTM to drive market success. The role blends deep product discipline with collaboration with sales to ensure value is delivered in the market.

The ideal candidate has 7+ years in product roles related to data and analytics, and thrives in a growth-stage startup culture, delivering fast, iterative improvements in a hybrid NYC-area

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