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Pear VC

Founding Engineer - Dealops

Posted 6 Days Ago
Be an Early Applicant
7 Locations
Mid level
7 Locations
Mid level
As a Founding Engineer at Dealops, you will build the core deal pricing product, develop pricing recommendation engines, create A/B testing infrastructures, and influence product direction. You will drive technical decision-making and project execution while ensuring high reliability of the product.
The summary above was generated by AI

Why Dealops?

Opportunity

AI is revolutionizing how companies price, sell, and scale. The shift to usage-based and hybrid pricing models has created an urgent demand for flexible, intelligent tools that can redefine the way businesses operate. These changes touch every aspect of the GTM engine - from pricing strategy and deal execution to forecasting and sales compensation, and represent a $25B+ market opportunity.

Dealops is leading this transformation, building the "picks and shovels" that enable the fastest-growing companies to thrive in this new era. By equipping GTM teams with smarter, AI-driven solutions, we empower businesses to adopt flexible pricing models, streamline deal workflows, and maximize sales team performance. This isn’t just about improving efficiency, it’s about redefining how the best companies run in an AI-powered world.

Joining Dealops means being at the forefront of this change and building the infrastructure that powers the next generation of pricing and selling. 

Founding team

Dealops was founded by former Stripe leaders with deep expertise in pricing, GTM strategy and building complex workflow products. We are a diverse and curious team dedicated to helping companies unlock revenue potential through smarter pricing and quoting processes.

Investors
We’re backed by world-class investors—including Pear VC, General Catalyst—and a network of industry-leading operators and angels from OpenAI, Stripe, Slack, Clay, Linear, and Notion.

Role Overview

As a Founding Engineer at Dealops, you'll be instrumental in building our core deal pricing product and shaping the future of sales optimization. You'll work directly with our founding team to create innovative solutions that help companies maximize their revenue potential.

You'll drive critical initiatives including:

  • Building our core deal pricing engine that combines machine learning and rule-based systems to generate custom pricing and packaging recommendations

  • Creating and running A/B testing infrastructure for pricing experiments that have consistently driven  double-digit revenue increases for our customers

  • Developing natural language-powered customer-facing tools that enable infinite customization of the Dealops platform and reduce customer onboarding time by 10x

  • Owning and driving the development of entire product features or suites

  • Helping shape our product roadmap and technical architecture as we build toward becoming an end-to-end sales optimization solution

What you'll do

You'll help define our technical culture and have outsized impact on our product direction. From day one, you'll be deeply involved in:

  • Champion customer needs and drive product direction

  • End-to-end project planning and execution

  • Technical decision-making and architecture

As our team grows, you'll have opportunities to expand your impact through engineering management or technical leadership roles, mentoring new team members, and driving major technical initiatives.

Join us in building the future of intelligent sales tooling and help define how modern companies approach pricing and revenue optimization.

About you

Must haves

  • 3+ years of software engineering experience

  • Strong expertise in React and TypeScript

  • Experience with PostgreSQL or similar SQL databases

  • Track record of building and launching early-stage products in collaboration with designers

  • Experience working on complex products with high reliability and accuracy requirements

Nice to haves

  • Frontend experience with Tailwind

  • Backend development experience with Express or similar frameworks

  • Machine learning experience

  • Familiarity with prompt engineering and AI tooling

  • Previous technical leadership experience

Top Skills

Ai Tooling
Express
Machine Learning
Postgres
React
Tailwind
Typescript

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