Customer Success Manager

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, eCommerce, SaaSIndustries

Requirements

Candidates should possess 3+ years of B2B SaaS Customer Success experience, specifically with enterprise accounts, ideally in companies that scaled from startup to growth stage. Experience with e-commerce adjacent software, analytics platforms, or data-driven SaaS products is required, along with proven success in owning the complete customer journey from implementation through renewal, including expansion and upsell motions. Sales acumen and a strong aptitude for revenue-generating activities are also necessary.

Responsibilities

The Customer Success Manager will own the complete customer journey from implementation through renewal for enterprise accounts (12k+ ARR), ensuring seamless transitions and maximum value realization. Responsibilities include leading complex enterprise implementations, identifying and executing expansion opportunities, fostering deep strategic relationships with enterprise clients, developing and executing sophisticated retention strategies, and collaborating cross-functionally with support, tech, and product teams. The role also involves translating customer needs into actionable product roadmap influence and contributing to scalable CS practices and best practices.

Skills

Customer Success

Data Analytics

Client Relationship Management

Onboarding

Customer Retention

SaaS

eCommerce

Polar Analytics

Marketing analytics and data visualization platform

About Polar Analytics

Polar Analytics provides marketing analytics and data visualization solutions specifically designed for eCommerce brands. Their platform integrates various data sources, enabling clients to visualize key performance indicators (KPIs) and gain actionable insights. The platform automatically calculates important marketing metrics such as Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), and Lifetime Value (LTV), which helps eCommerce businesses streamline their data management and enhance marketing strategies. Unlike competitors, Polar Analytics offers a user-friendly dashboard that consolidates data from multiple sources, eliminating the need for manual data handling. The company's goal is to empower eCommerce brands to make informed decisions that drive growth and efficiency through a subscription-based model that includes customizable features and dedicated support.

Paris, FranceHeadquarters

2020Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consumer SoftwareIndustries

11-50Employees

Benefits

Paid Vacation

Health Insurance

Home Office Stipend

Company Equity

Flexible Work Hours

Risks

Increased competition from established platforms like Tableau and Looker threatens market share.

Emerging EU privacy regulations could complicate data integration for Polar Analytics.

Economic downturns may reduce budgets for analytics tools among small to medium eCommerce businesses.

Differentiation

Polar Analytics offers a comprehensive platform integrating multiple data sources for eCommerce.

The platform automatically calculates essential marketing metrics like CAC, ROAS, and LTV.

Polar Analytics provides a single dashboard, eliminating manual data exports and consolidations.

Upsides

Increased demand for real-time analytics in eCommerce boosts Polar Analytics' market potential.

Growing trend of AI-driven analytics tools aligns with Polar Analytics' advanced solutions.

Shift towards personalized marketing strategies enhances the need for Polar Analytics' segmentation capabilities.

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