Lead Product Manager, Compensation Intelligence

UKG

Town of Florida (NY)

Hybrid

USD 164,000 - 236,000

Full time

14 days+
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Job summary

UKG is seeking a strategic and entrepreneurial Principal Product Manager to define, build, and scale a new compensation intelligence and benchmarking product. You will own the product vision, roadmap, and trusted benchmark methodologies, guiding cross-functional teams from discovery to expansion.

The ideal candidate combines deep product leadership with data fluency and practical knowledge of compensation, payroll, or labor-market products.

Qualifications

  • 10+ years of product management experience in enterprise SaaS, analytics, payroll, or compensation products.
  • Experience leading a new product or major product line through discovery, strategy, launch, and scale.
  • Experience partnering with data engineering, analytics, data science, or ML teams to ship production-grade data products.
  • Strong analytical skills and ability to evaluate data quality, customer value, market opportunity, and business impact.
  • Must be able to work out of UKG Lowell MA or Sunrise FL office location 3 days a week.

Responsibilities

  • Define vision, strategy, and multi-year roadmap for the compensation intelligence product.
  • Lead cross-functional teams from discovery through launch, adoption, and expansion.
  • Partner with AI, data science, and domain experts to improve job matching and benchmarking.
  • Establish data coverage, quality, lineage, privacy, and benchmark reliability.
  • Translate customer research into clear requirements, workflows, and outcomes.

Skills

Product management
Strategic thinking
Analytics
Cross‑functional leadership
Data collaboration
Enterprise SaaS
Compensation domain

Job description

UKG is seeking a strategic and entrepreneurial Principal Product Manager to define, build, and scale a new compensation intelligence and benchmarking product. You will own the product vision, roadmap, and trusted benchmark methodologies, guiding cross-functional teams from discovery to expansion.

The ideal candidate combines deep product leadership with data fluency and practical knowledge of compensation, payroll, or labor-market products.

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