Senior Product Manager - Attribute Enrichment

Role Overview

Senior Product Manager for Attribute Enrichment to lead a key product area that improves product data coverage and quality using ML-driven enrichment. The role combines strategic product leadership with hands-on execution in a fast-paced, cross-functional environment.

Responsibilities

• Define and launch a high-impact Attribute Enrichment product strategy, prioritizing top value streams using data, customer insights, and business goals.
• Create and communicate a compelling value proposition, validated with customer feedback.
• Drive adoption through iterative development and release cycles that improve customer experience and satisfaction.
• Partner with PSL and go-to-market teams to reduce time-to-demo and enable rapid testing of attribute capabilities.
• Define, track, and use product performance and quality metrics to guide prioritization and continuous improvement.
• Gather customer feedback to identify pain points and validate roadmap decisions.
• Lead a fast-paced, high-quality iterative development cycle and ensure the team adapts quickly.
• Collaborate with Engineering, Product, Sales, and Customer Success to streamline workflows and reduce friction.
• Align the roadmap with customer and business needs to deliver measurable value.
• Stay current on industry trends and ML enrichment innovations.

Requirements

• 5+ years of product management experience, with a track record of launching successful products in fast-paced, technical environments.
• Strong technical depth, particularly with data and/or ML-driven products, and the ability to improve complex systems.
• Excellent strategic thinking with the ability to define a vision and execute quickly.
• Deep customer focus and ability to translate user needs into impactful solutions.
• Comfortable with experimentation, iteration, and continuous learning; growth mindset.
• Data-informed decision-making, balancing qualitative insights with quantitative metrics; willingness to pivot.
• Strong communication and collaboration skills across departments.
• Ownership mindset: accountable for both success and failure; relentless pursuit of improvement.

Nice-to-haves

• Experience with ML/AI products, especially in data enrichment, catalog structuring, or search/discovery domains.

Benefits / Other

• Unlimited vacation time (encouraged to take at least 3 weeks per year).
• Competitive compensation package with stock options (full details not fully shown).