Opply
Account Executive, New York (Software Startup)
New York, US
Sponsorship not specified$70k-$80kDetected 160 days ago
CRMSalesAccount ManagementBusiness DevelopmentNegotiationForecastingSupply ChainLeadershipCollaborationMentoring
About the role
- You'll be expected to run sharp discovery, quantify value, navigate stakeholders, handle objections, and negotiate commercially, while partnering closely with SDRs/BDRs, Growth, Marketing, and Product to improve conversion and expand what we can sell.
- If you're competitive, commercially sharp, and want to accelerate in a fast-growth environment where you can have real impact, this is the role.
Responsibilities
- We're scaling with strong customer traction, scaling revenue, expanding internationally, and building out the commercial team to match our ambition.
- You ask smart questions, listen properly, and build strong cases for change
- You don't rely on "big wins"you build repeatable performance
Skills
- Modern discovery: Combine qualitative insight with quantitative value logic to uncover real urgency
Compensation
- $70,000 - $80,000 base + uncapped OTE (Year 1 OTE $30,000) About Opply Opply is modernising how scaling food and consumer goods brands buy ingredients, solving a £1 trillion market inefficiency that's been overlooked for decades.
- Right now, SMB brands waste 70% of stock and pay 40% above market rate because they lack access to enterprise-level supplier networks and smart automation.
- We've built an AI-powered platform that changes this entirely: automated ordering, predictive forecasting, supplier matching, and embedded credit that lets brands sell before they pay.
- We're a scaling, VC-backed by Index Ventures, Anthemis, and Chalfen Ventures, with unicorn angels from GoCardless, Flow.io, and Trouva.
- We've won StartUp of the Year and Supply Chain Specialists of the Year, and we're scaling fast across the UK and internationally.
- This is category-defining work in a massive, underserved market.
This listing is sourced directly from Opply's careers page and normalized into a canonical job model.