Polar Analytics

Solutions Engineer

Paris, Île-de-France, France

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerce, Data & Analytics, SaaSIndustries

Solutions Engineer

Employment Type: Full-Time Location Type: Remote Salary: [Salary information not provided]

Polar Analytics: The All-in-One Data Platform for Consumer Brands 🐻‍❄️

Polar Analytics simplifies data so brands can make smarter, faster decisions without the complexity of traditional tools. Powerful yet user-friendly, it gives DTC brands the insights they need to scale profitably.🚀

Our mission? To help indie DTC brands compete and grow—faster and more profitably.

What Makes Polar Analytics Unique? 💎

  • 🔥 4,000+ Brands and Growing: Scaled to 4,000+ active merchants (Jan 2025) and on track for 10,000+ this year.
  • 💡 Cutting-edge tech, Built for Simplicity: Leverages the modern data stack to deliver enterprise-level insights without the need for a data team.
  • 💰 Backed by World-Class Investors: Raised $28.5M with Frst, Point9, and Chalfen Ventures, a top-tier B2B SaaS investor known for spotting future unicorns early.
  • 👥 A Team of eCommerce Experts: Team brings experience from leading eCommerce SaaS platforms, united by a mission to build the next industry leader.

Solutions Engineering At Polar Analytics

Solutions Engineering at Polar Analytics sits at the heart of Tech, Sales, and Customer Success. You'll be architecting the semantic layer that transforms raw commerce data into intelligent, actionable insights. As we scale from $3M to $9M+ ARR, you'll design proofs of concept that close deals fast, lead implementations that deliver value in weeks, and unlock new use cases that directly feed back into our product roadmap. This isn't just technical problem-solving—it's building the data foundation that helps indie DTC brands compete and grow faster than ever before.

Why This Role?

  • Own the semantic layer for commerce agents: Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel.
  • End-to-end impact from pre-sale to expansion: Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities.
  • High-leverage, high-ownership environment: Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV.
  • Strategic seat at the table: Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development.

What's the Scope?

  • Drive $1M ARR per quarter: Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations.
  • Launch successful features monthly: Collaborate with Product to translate customer needs into shipped features, using direct customer feedback to influence roadmap priorities.
  • Build power user networks at top logos: Cultivate deep technical relationships with key stakeholders at enterprise accounts, turning them into advocates and expansion opportunities.
  • Partner with the CS team on deal nurturing: Work closely with Customer Success to identify upsell opportunities, resolve technical challenges, and ensure long-term customer satisfaction.

This Job is Made for You If:

  • You think in systems and code fluently: Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge.
  • You thrive on direct customer interaction: Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work.
  • You sprint but never ship half-baked: Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards.
  • You want strategic influence: Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success.

Our Hiring Process 📝

We believe in a structured, fair, and transparent hiring process. [Further details on the hiring process were cut off in the provided text.]

Skills

Data Architecture
Semantic Layer
Data Modeling
Shopify Data
Ad Data
Retention Data
AI Agents
Metrics
Business Logic
Proof of Concept (POC) Design
Implementation
Technical Problem-Solving
Customer Success
Sales Engineering

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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