Strategic CSM - Polar Analytics

Who we are

Polar is the complete data platform for omnichannel commerce. We connect every data source a brand runs on — Shopify, Amazon, NetSuite, Meta, Google, Klaviyo — into a single Snowflake warehouse, layer a commerce semantic layer on top, then add AI so operators can ask questions, get answers, and automate workflows without writing SQL.

Our founders came from Turo and Airbnb in Silicon Valley. They built data platforms at scale and wanted to bring that level of sophistication to fast-growing commerce brands. We support 4,000+ merchants with zero direct competition, serving brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum.

What you will do

You'll be the strategic layer between our product and the merchants who depend on it — working directly with founders, CMOs, CFOs, and growth operators who think in ROAS, LTV, contribution margin, and retention.

• Own a portfolio of strategic accounts end-to-end from onboarding to successful renewal and expansion.
• Run implementation like a project, managing multiple stakeholders, data validation, and connector work across a dozen-plus sources.
• Capture success criteria in writing before kickoff, holding both sides to defined business outcomes.
• Build relationships at the executive level and run QBRs that change how brands think about their data.
• Own the technical conversation consultatively — scope the stack, advise on connector coverage and attribution model choice, and know when to pull in Solution Engineering.
• Read accounts like an analyst using adoption and usage signals to forecast renewal and flag risk early.
• Spot expansion opportunities and close them alongside Sales.
• Drive adoption of new capabilities from weekly product shipments.
• Lead the AI conversation with your accounts, showing them MCP against their own warehouse, agents running workflows, and the AI Data Engineer standing up connectors.
• Turn customer problems into product improvements that shape our roadmap.

What you bring

• 3-5+ years in Customer Success at a B2B SaaS company, ideally serving eCommerce brands.
• eCommerce experience is a huge plus (DTC brand, agency-side for Shopify, or selling into them).
• Comfortable working with and presenting to C-level executives.
• Technical enough to read API documentation, understand authentication and rate limits, reason about data syncs, and distinguish connector problems from modeling problems.
• You already use AI to do your own job and can prove it (agents for research, custom instructions, MCP or API connections pulling live data).
• Analytics background or real financial acumen (understanding margins, LTV, and datasets).
• Entrepreneurial mindset with a default-to-a-plan approach.

How we hire

1. Motivation screen: A quick call to understand what drives you and check for mutual fit.
2. Live case study: A real scenario working through a problem in real time with no prep decks or take-homes.
3. Leadership conversations: Meet the team and understand the culture.