Model and quote complex pricing: credits, usage, outcomes, ramps. Drive higher ACVs with guided selling and real-time pricing intelligence. Backed by Pear VC.
About the role
We're looking for a Senior Software Engineer to join our growing engineering team and help build the next-gen AI-powered platform for revenue optimization. You'll work across the full stack -- from our core deal pricing product to the tools that help customers optimize their revenue strategies with data-driven insights. We're a small team, so you'll have plenty of room to fully own high-impact products from day one.
More about this role
We’re building the revenue infrastructure the next decade of B2B AI companies run on by starting with the most critical part in the revenue journey, deal pricing. Today, sales reps spend hours building their own pricing spreadsheets for each deal, only to discount too much and spend another cycle iterating with Finance. This is a massive problem for B2B companies, as we’ve seen up to 30% unnecessary overdiscounting with customers. Our founder saw this firsthand when she worked in finance and pricing at Stripe, where she has priced over a thousand deals with the sales org.
This problem exists because pricing is a black box. Sales teams aren’t trained to make pricing decisions and aren’t incentivized to optimize for long-term revenue. As pricing models become more complex due to AI and the shift toward usage-based, outcome-based, and hybrid models, this challenge is only compounding. There’s a massive opportunity to build the revenue infrastructure for next-generation companies.
We’re positioned to lead this market shift as teams are finding out previous solutions are breaking down. That’s why the fastest growing enterprises and AI startups like Airwallex, Plaid, Harvey, LangChain,...
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