Drimva

Whatnot

Market Intelligence Manager / Sr Manager

$118K–$153K

San Francisco, CA +3 · Remote · Manager · Full-time · Posted Sep 11, 2026

Location
San Francisco, CA
New York, NY
Los Angeles, CA
Seattle, WA
Experience
5-6+ years; specified backgrounds include consulting, investment banking/private equity, a fast-growing startup, or a similarly rigorous analytical environment.
Education
Bachelor's degree in Business, Economics, Data Analytics, or a related field.

About the job

Owns Whatnot’s market intelligence on livestream shopping and adjacent marketplaces, turning external data and market trends into recommendations that guide product, pricing, and customer-experience decisions.

What you'll do

  • Monitor market performance, manage data sources and vendors, and build dashboards and reporting for stakeholders.
  • Identify market changes and leading indicators, then coordinate timely responses across teams.
  • Translate imperfect external data into recommendations and scalable market intelligence tools, documentation, and reporting.

What they ask for

  • Bachelor's degree in Business, Economics, Data Analytics, or a related field.
  • 5-6+ years of experience in consulting, investment banking/private equity, a fast-growing startup, or a similarly rigorous analytical environment.
  • Strong SQL skills and comfort owning data infrastructure end-to-end; experience building dashboards and reports for varied audiences, including senior/executive stakeholders.
  • Demonstrated cross-functional influence, communication, and impact in a fluid, unstructured environment; experience managing external vendor relationships and data quality.

Nice to have

  • Experience with live commerce, e-commerce, resale, or other two-sided marketplace platforms; familiarity with social commerce or gig/on-demand marketplaces.
  • Experience with Python or similar for data workflows, or prior experience in a market intelligence function.

Pay

USD $118K - $153K (base salary)

Tools

SQL, Sigma, Hex, Tableau, Python

AI focus

Use AI tools to enhance problem-solving, analysis, and execution across business challenges.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)