Hybrid PM — Data Analytics & AI Tools

Hex

New York (NY)

Hybrid

USD 177,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Equity
Health benefits
Flexible PTO
Market benchmarks

Job summary

Hex is seeking a Product Manager to advance analytics features—notebooks, dashboards, and conversational AI interfaces. You will work with the sales team to ensure market success and deepen product value for customers in a fast-growing startup.

You will own a product area, run early discovery, and partner with engineering, design, and GTM teams to ship meaningful features. Hybrid NYC presence and a strong data-centric mindset are ideal.

Qualifications

  • 7+ years of hands-on experience as Product Manager, product-engaged Solutions/Sales Engineer, or customer-engaged Engineer.
  • Experience with technical products and ability to dive deep into complex systems.
  • Growth-stage startup mindset with ability to ship quickly and iterate.
  • Preference for candidates with experience or strong interest in data and analytics.

Responsibilities

  • Own an area of the product and drive a coherent vision that resonates with customers.
  • Perform early discovery and define problems worth solving.
  • Engage deeply with customers to understand roles and outcomes.
  • Conduct competitive research and analyze data/analytics landscape.
  • Collaborate with engineering, design and GTM teams to deliver high-impact features.
  • Learn from the sales process to see what resonates.

Skills

7+ years experience
Technical product experience
Ship fast / iterate
Data & analytics interest

Job description

Hex is seeking a Product Manager to advance analytics features—notebooks, dashboards, and conversational AI interfaces. You will work with the sales team to ensure market success and deepen product value for customers in a fast-growing startup.

You will own a product area, run early discovery, and partner with engineering, design, and GTM teams to ship meaningful features. Hybrid NYC presence and a strong data-centric mindset are ideal.

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