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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.

Responsibilities

Develop key features for deal pricing and packaging recommendations, blending machine learning with a rule-based engine to optimize pricing.
Design and run A/B pricing experiments that directly move customer revenue.
Collect and integrate customer feedback to drive iterative improvement and product-market fit.
Build agents that process unstructured, natural-language data to further sharpen pricing and packaging recommendations.
Spearhead infrastructure and tooling for admin users, enabling infinite customization through natural language and LLMs which cuts customer onboarding time by 10x.
Contribute to the future product roadmap and our long-term vision of becoming an end-to-end sales optimization platform.
Own an entire product or product feature suite, from design through implementation and keep innovating.
Pitch in on customer onboarding and support.
Plan and lead projects end-to-end.

Requirements

4+ years of software development experience, with a strong full-stack focus.
Proficiency in React, TypeScript, and SQL (PostgreSQL or similar).
A track record of building and launching scalable, reliable products in close collaboration with designers and other cross-functional partners.
Experience with complex products that have high reliability and accuracy requirements, ideally in a fast-moving environment.

Skills

React
TypeScript
SQL
PostgreSQL
Tailwind
Express
Machine learning
Prompt engineering
AI tooling

Location

Remote

Work Type

Full-time
Remote

Experience Level

Senior
Mid-level

Salary/Compensations

$140k–$180k base salary

Benefits

Generous early-stage equity package
Unlimited PTO
Free meals - lunch and dinner on us.
Free ubers for late nights worked in the office
Full health coverage
Flexible remote time
401K
Significant ownership and autonomy
The chance to work on cutting-edge AI applications in enterprise software

About the Company

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.
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.
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.
The fastest growing enterprises and AI startups like Airwallex, Plaid, Harvey, LangChain, and Clay are partnering with us to build the foundations of their revenue infrastructure.
Backed by $7M from General Catalyst, Pear VC, and executives from OpenAI, Stripe, Slack, and more, we’re now focused on growing revenue 10x and shaping the future of deal pricing.