Remote Strategic CSM — AI-Driven Data for Ecommerce

Polar Analytics

New York (NY)

Remote

USD 100,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Remote-first

Job summary

Polar Analytics is seeking a Customer Success Lead in New York to manage strategic accounts from onboarding through renewal and expansion. You will work directly with founders, CMOs, CFOs, and growth teams focused on ROAS, LTV, and retention.

This is not a support role; you will run complex implementations across multiple data sources, define success criteria, and drive QBRs with executives. You will also guide technical conversations about integrations and AI-enabled workflows.

Qualifications

  • 3–5+ years in Customer Success at a B2B SaaS company.
  • Experience serving ecommerce brands is a plus.
  • Comfort working with executives (C-level) and cross-functional teams.
  • Ability to read API docs and understand data flows; MCP/AI exposure is a plus.

Responsibilities

  • Own a portfolio of strategic accounts from onboarding to renewal and expansion.
  • Lead multi-stakeholder implementations with data validation and connectors.
  • Define success criteria upfront and hold both sides to them.
  • Lead QBRs with executives to translate data into business decisions.
  • Advise on integration scope, data sync, and tool stack across platforms.
  • Forecast renewal risk using data signals and hypotheses.
  • Identify expansion opportunities and drive upsell with Sales.
  • Drive adoption of new capabilities and AI workflows for customers.
  • Turn customer feedback into product improvements and roadmap input.

Skills

Customer Success
SaaS
Executive communication
Revenue focus
Analytics mindset

Job description

Polar Analytics is seeking a Customer Success Lead in New York to manage strategic accounts from onboarding through renewal and expansion. You will work directly with founders, CMOs, CFOs, and growth teams focused on ROAS, LTV, and retention.

This is not a support role; you will run complex implementations across multiple data sources, define success criteria, and drive QBRs with executives. You will also guide technical conversations about integrations and AI-enabled workflows.

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