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Jobs/Enterprise Account Executive Role/Polar Analytics - Enterprise Account Executive
Polar Analytics

Polar Analytics - Enterprise Account Executive

Remote - New York, USA$40k - $40k3w ago
RemoteMidNASoftwareE-commerceEnterprise Account ExecutiveAmbassadorTeam LeadershipProspectingSnowflakeEcommerceROAS

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Requirements

• We don't have a rigid checklist of requirements. We're looking for a specific kind of person: • You've spent 3-5 years closing $50k+ enterprise SaaS deals with technical evaluation processes. You've sold to multi-stakeholder buying committees, not just single-threaded to one champion • You're technically credible. You can discuss semantic layers, Snowflake instances, attribution models, and data architecture without sounding like you're reading a script. CTOs and data leads take you seriously • You have experience selling to ecommerce, retail, or DTC brands - or you've sold data/analytics/BI tools and can learn the vertical fast • You're a consultative seller who positions as a strategic advisor, not a vendor. You help prospects understand their data architecture gaps and business impact before you pitch features • You're patient with long cycles but relentless on next steps. Enterprise deals require relationship building across multiple stakeholders - you know how to keep momentum without being pushy • You're comfortable demoing AI products live and excited about the space. This isn't a "hand it to the SE" role - you run your own demos • You communicate clearly and concisely. No fluff, no jargon. You close the loop on everything • What separates A-players • You run discovery like a consultant, not a checklist. You map every stakeholder in the first two calls and know exactly who the economic buyer is. You can pivot between talking ROAS with a Head of Growth and data architecture with a CTO in the same meeting. You build pipeline when you're ahead of quota, not just when you're behind. And you treat forecasting as a craft - your commits are accurate because you understand your deals, not because you're sandbagging. • What our customers see • These are the kinds of results you'll sell against: • Thiege consolidated 9 different tools into Polar and saved $300K per year vs building their own data stack • CABA improved their ROAS by 65% using our attribution model and incrementality testing to reallocate spend • Modular Closet grew Klaviyo flow revenue by 50% with our CDP and identity resolution layer • Quadlock started with us below $10M - we helped them scale to 9 figures and a $350M acquisition • How we hire • How we hire • We believe the best people want to go through a demanding process. We've learned the hard way that great interviewers aren't always great operators - so our process is designed to see how you think, not how you present. • 1. Motivation screen - A quick call to understand what drives you and whether there's mutual fit • 1. Motivation screen - • 2. Live case study - A real scenario where you work through a problem in real time. No prep decks, no take-homes. We want to see how you actually operate • 2. Live case study - • 3. Leadership conversations - Meet the team, understand the culture, make sure this is somewhere you want to build • 3. Leadership conversations - • Our hiring bar: if this person started a company, would we want to join them?

Benefits

• We're closing enterprise deals already. Q1 2026 was a company record. The unit economics are strong: $40k ACV, <30 days close time on qualified deals, 40% win rate. • But enterprise deals are getting more complex. They require executive stakeholder mapping, build vs buy positioning against internal data teams, and longer cycles with multiple decision-makers. We need someone who can run these deals end-to-end - from first call to close - with the technical credibility and deal orchestration skills that enterprise requires. • You'll work alongside our Head of Sales and partner closely with our partnerships team. The opportunity is massive and the foundation is built - we need someone who can close at the next level. • What you'll own • Full-cycle enterprise deals from discovery through close. Your targets will be mid-market and enterprise DTC brands doing $50M-$500M+ GMV with complex omnichannel operations • Executive stakeholder mapping and multi-threaded selling across ecommerce, marketing, data, and finance teams. You'll navigate deals where the CRO, VP of Ecommerce, and CFO all need to sign off • Build vs buy conversations with technical stakeholders. Brands with data teams are evaluating building their own stack - you need to credibly position why 8 separate tools and a 6-12 month project isn't the answer. Your talk track branches based on team size and sophistication • Pipeline generation in partnership with our SDR function, partnerships team, and your own outbound. You'll own the number and know it cold - the trend, the why, the plan • AI and MCP demos that land. Our AI roadmap - semantic layer, AI data analyst, AI strategist, autonomous agents - is the strongest part of our pitch for enterprise. You need to demo MCP on Claude and ChatGPT live and explain the four-level AI journey confidently • Consultative discovery using our structured playbook. We've built discovery frameworks for goals, stack, pain/product, and decision process - you'll master them and make them your own • Deal forecasting and pipeline hygiene. No silent slips - if something is off, say it now. Reforecast early with a new plan, don't wait for it to blow up

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