Senior PM, AI Partner Experience & Analytics

Salesforce

New York (NY)

On-site

USD 208,000 - 311,000

Full time

14 days+
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Job summary

Salesforce is seeking a Senior Product Manager for Partner Experience in New York. You will own the platform's telemetry, analytics, and feedback loops to drive continuous improvement and measurable business impact across partner interactions.

You'll partner with engineering, UX, and business stakeholders to define metrics, elevate data visibility, and ship data-informed product improvements in an iterative, test-and-learn environment.

Qualifications

  • 5+ years of product management experience with data-driven decisions.
  • Experience building telemetry or analytics systems for a product.
  • Strong analytical and systems-thinking skills.
  • Excellent written and verbal communication with stakeholders.
  • Experience working cross-functionally in a matrixed organization.
  • Bachelor's degree in technical, business, or analytical discipline.

Responsibilities

  • Analyze partner ecosystem data and identify quality/performance gaps.
  • Own metrics and ensure data credibility for business owners.
  • Define and evolve interaction quality scoring.
  • Translate user input into product improvements.
  • Surface real-time partner journey visibility across tracks.
  • Collaborate with engineering, UX, and business to ship improvements using a test-and-learn approach.

Skills

Product management
Data analytics
Experimentation
Cross-functional collaboration
Communication
Stakeholder management

Education

Bachelor's degree

Tools

Telemetry tooling
Analytics platforms

Job description

Salesforce is seeking a Senior Product Manager for Partner Experience in New York. You will own the platform's telemetry, analytics, and feedback loops to drive continuous improvement and measurable business impact across partner interactions.

You'll partner with engineering, UX, and business stakeholders to define metrics, elevate data visibility, and ship data-informed product improvements in an iterative, test-and-learn environment.

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