Polar Analytics

Polar Analytics

Strategic Partnership Manager

Remote - US

Sponsorship not specified$50k-$150kDetected 106 days ago
SnowflakeCRMSalesBusiness DevelopmentCold OutreachShopifyLeadershipNetSuite

About the role

  • 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 serve brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum.

Responsibilities

  • We support 4,000+ merchants, and zero direct competition with a better solution.
  • We shipped MCP integrations with Claude and ChatGPT, AI automations, and an AI Data Engineer that builds connectors on demand.
  • the data layer to build agent workflows for commerce.
  • If the answer isn't clear, go talk to a customer before you build anything.
  • Optimize for Polar, Not Your Function. "Not my scope" doesn't exist here.

Requirements

  • You've spent 3-4 years in partnerships, channel sales, or business development at a SaaS company.
  • You know the Shopify ecosystem, ecommerce agency world, or DTC brand landscape.
  • AI, MCP, attribution models - you can explain the value without a sales engineer
  • Live case study - A real scenario where you work through a problem in real time.

Compensation

  • Partner enablement and training - getting agency teams to understand Polar's value prop, demo the product themselves, and refer qualified brands. You'll create the "Polar operating system" for partners
  • Full-funnel partner pipeline from identification through activation to revenue. 43% of current partners have referred at least one deal - your job is to push that number significantly higher
  • Partner economics and deal structure. You'll work with a 20% discount model (commission or client discount), master agency accounts, and bi-directional lead sharing. You need to make the math work for both sides
  • AI and MCP as a partnership differentiator. Our MCP integrations are a major draw for technical agencies - you need to demo this confidently and help partners position it to their clients
  • Tech-enabled scale - building automated workflows, partner nurture sequences, and systems that let you manage 100+ partner relationships without everything being manual
  • Thiege consolidated 9 different tools into Polar and saved $300K per year vs building their own data stack

Company info

  • 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, and zero direct competition with a better solution. We serve brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum.
  • We shipped MCP integrations with Claude and ChatGPT, AI automations, and an AI Data Engineer that builds connectors on demand. Our positioning: the data layer to build agent workflows for commerce. Customers tell us things like "this is a dream come true - it feels like the first time they showed me Shopify".
  • 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 positioning: the data layer to build agent workflows for commerce.
  • Customers tell us things like "this is a dream come true - it feels like the first time they showed me Shopify".
  • We publish our operating principles internally and we mean every word.
  • Here are the ones that matter most if you're thinking about joining:
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This listing is sourced directly from Polar Analytics's careers page and normalized into a canonical job model.