You’ve spent 3-5+ years in Customer Success at a B2B SaaS company, ideally one serving eCommerce brands. You understand what a drop in ROAS actually means. You think in revenue and retention, not tickets and NPS scores.
eCommerce experience is a huge plus. If you’ve worked at a DTC brand, agency-side for Shopify brands, or sold into them, you’ll be credible in week one instead of month three. Ex-DTC operators and ex-consultants who moved into SaaS tend to do exceptionally well here.
You’re comfortable with executives. Demonstrable experience working with and presenting to C-level — you can hold a room with a CFO in it, disagree with a founder productively, and be the person they call before a board meeting.
You’re technical enough to be dangerous. You don’t need to write production code, but you should be able to read API documentation, understand authentication and rate limits, reason about why a data sync broke, and tell a connector problem apart from a modeling problem. You’ll be working across the stack our customers actually run: from Shopify, Amazon and TikTok to Meta, Google, Snapchat, Klaviyo, Snowflake and more.
Plus the Polar MCP and our AI Data Engineer, which reads a tool’s API docs and builds a connector on demand. SQL, dbt, or prior exposure to MCP and LLM workflows is a bonus, not a requirement.
You already use AI to do your own job, and you can prove it. This one is non-negotiable. We sell agent workflows for commerce — you cannot credibly get a CMO excited about MCP and AI automations if you’re still writing your QBR decks from scratch. We’re looking for someone who has genuinely restructured how they work: agents handling account research and call prep, skills or custom instructions encoding your own playbooks so you don’t rewrite them every time, MCP or API connections pulling live data into your workflow instead of you exporting CSVs. You should be able to walk us through a specific workflow you automated, what it cost you before, and what broke the first time you tried. “I use ChatGPT to tidy up emails” is not what we mean.
You have an analytics background or real financial acumen. You can open a dataset and form a point of view, spot when a number looks wrong, and explain a margin or LTV calculation to someone who’s about to act on it.
You default to a plan. An owner and a date, every time. No certification needed — the behavior is what matters.
You’re entrepreneurial. Our strategic motion is still being built. You’ll be handed problems, not process, and you’ll build the process on your way through.