Staff Product Operations Manager, Platform

Ladders

United States

Remote

USD 126,000 - 203,000

Full time

19 hours ago
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Benefits offered by this job

Remote work
Dev stipend
Health & parental leave
Bonuses & equity
Career development

Job summary

Ladders is seeking a Staff Product Operations Manager, Platform to help shape how the platform organization operates by turning data, insights, and cross-functional execution into measurable business impact.

Remote - US-based candidates only; compensation $126,000–$202,500 annually. You will partner with product teams and leadership to accelerate delivery, build scalable internal tools and workflows, and drive revenue outcomes.

Qualifications

  • 8+ years in product ops, analytics, or related fields.
  • Proven track record shipping user-focused tools or products.
  • Experience linking work to ARR or retention.
  • Ability to analyze large, messy datasets.
  • Strong communication with non-technical stakeholders.
  • High ownership and attention to detail.

Responsibilities

  • Drive ARR by identifying and addressing enterprise-readiness gaps.
  • Accelerate delivery by collaborating with product teams to prioritize and track progress.
  • Build internal data and AI products to enhance understanding of platform usage.
  • Analyze structured and unstructured data to uncover actionable insights.
  • Create reliable tools and workflows from one-time analyses.
  • Translate complex findings into clear recommendations for leadership.
  • Quantify revenue impacts of platform investments and report on them.
  • Own projects from inception to continuous improvement, using AI tools thoughtfully.

Skills

Product operations
Data analytics
Revenue linkage
Large datasets
Communication
Ownership

Tools

AI tools
Data platforms

Job description

For our client, we are seeking a Staff Product Operations Manager, Platform to join the team of a leader in the Enterprise Technology space.

This role will help shape how the platform organization operates by turning data, insights, and cross-functional execution into measurable business impact. You will partner closely with product teams and leadership to identify readiness gaps, accelerate delivery, and build scalable internal tools and workflows. The position combines product operations, analytics, and AI-enabled problem solving to improve platform usage, decision-making, and revenue outcomes.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $126,000 – $202,500 annually

Responsibilities
  • Drive ARR by identifying and addressing enterprise-readiness gaps.
  • Accelerate delivery by collaborating with product teams to prioritize and track progress.
  • Build internal data and AI products to enhance understanding of platform usage.
  • Analyze structured and unstructured data to uncover actionable insights.
  • Create reliable tools and workflows from one-time analyses.
  • Translate complex findings into clear recommendations for leadership.
  • Quantify revenue impacts of platform investments and report on them.
  • Own projects from inception to continuous improvement, using AI tools thoughtfully.
Qualifications
  • 8+ years of experience in product operations, data analytics, or related fields.
  • Proven track record of building and shipping user-focused tools or products.
  • Experience linking work to revenue outcomes like ARR or retention.
  • Ability to analyze and validate large, messy datasets.
  • Strong communication skills for explaining technical concepts to non-technical stakeholders.
  • High ownership and attention to detail, with a curiosity-driven mindset.
Benefits
  • Flexible, employee-led remote work model.
  • Professional development stipend for continuous learning.
  • Comprehensive health and parental leave plans.
  • Performance-based bonuses and equity opportunities.
  • Culture of rapid career development and support.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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