Senior Product Manager

Bluecoreinc

Remote
Base: $130,000 - $175,000; bonus/equity: not speci...
Fully remote
Ship agentic experiences for marketers
Make decisions with data
Prototype before you spec
Bluecore is seeking a Senior Product Manager to drive the development of marketing technology solutions for retail e-commerce clients. The ideal candidate will possess strong data analysis skills, experience in product management, and a background in workflow automation or AI-assisted features

Job Summary

  • Ship measurable wins for retailers by combining data analysis, rapid AI-assisted prototyping, and crisp product execution.
  • Build marketer-facing experiences (copilots, automations, and workflow tooling) that turn first-party shopper data into activation across channels and connected tools.
  • We assess agency and ownership. You take ambiguous problems, pull the data, propose a plan, and drive execution with minimal oversight.

Matching Summary

Match Score: 85

Bluecore is seeking a Senior Product Manager to drive the development of marketing technology solutions for retail e-commerce clients. The ideal candidate will possess strong data analysis skills, experience in product management, and a background in workflow automation or AI-assisted features.

Salary

Base: $130,000 - $175,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • ship agentic experiences for marketers
  • make decisions with data
  • prototype before you spec
  • build and evolve activation foundations
  • instrument everything
  • work the retail problem

Nice-to-have

  • working knowledge of identity concepts
  • familiarity with retrieval-augmented generation
  • experience defining agent policy
  • experience integrating with paid media channels
  • experience with audience sync reliability patterns
  • familiarity with file-based exports

Key Requirements

  • 3+ years in product management or adjacent role
  • SaaS/MarTech/ecommerce or AI/agentic domains
  • Experience shipping workflow automation or AI-assisted features
  • Experience with segmentation and activation
  • Hands-on data ability: SQL and Python scripting
  • Builder bias: demonstrable prototypes
  • Retail empathy: experience building for retailers

Work Rights

Not specified

Tailored Resume

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