A foodservice data and analytics companyHiring

Product Manager

  • Remote, United States
  • Lead
  • Posted 6 days ago
In one line

Product manager for a B2B data product, turning customer research and usage data into AI-enabled features that bring in new revenue. Travel to customers about a fifth to a third of the time.

About the role

The team works on a large database of verified foodservice operator locations and on new AI capabilities built on top of it. Success means shipping features fast and grounding every roadmap call in customer evidence.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
AI, Machine learning, B2B SaaS, Customer research, Product roadmap
Posted
29 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Own a 12 to 18 month roadmap tied to strategy, customer needs and measurable outcomes
  • Run ongoing customer discovery with manufacturer stakeholders, including on-site visits
  • Turn research and usage data into requirements, success metrics and priorities
  • Build go-to-market and adoption plans with commercial teams

What they look for

  • 2 to 3 years of product management in B2B SaaS or data products
  • Hands-on understanding of AI and machine learning, including their limits
  • Disciplined customer research that weighs what people say against what data shows
  • Ability to explain the same product to executives, engineers and the wider company
  • Willingness to travel 20 to 30% for customer work

Nice to have

  • Experience in foodservice, CPG or commercial intelligence

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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: 2 to 3 years of product management in B2B SaaS or data products; hands-on understanding of AI and machine learning, including their limits; disciplined customer research that weighs what people say against what data shows. Skills it names include AI, Machine learning, B2B SaaS, Customer research.

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