Dealops

Founding Engineer

San Francisco · Exec

Sponsorship not specified$10k-$20kDetected 32 days ago

TypeScriptReactTailwind CSSExpressFull-Stack DevelopmentSQLPostgreSQLMachine LearningLLMsA/B TestingProduct StrategyOnboardingLeadershipCollaboration

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.

Design and run A/B pricing experiments that directly move customer revenue - past experiments have yielded a 10-20% boost. (Dealops is the first to let companies A/B test rep behavior at scale.)
Collect and integrate customer feedback to drive iterative improvement and product-market fit.
Build agents that process unstructured, natural-language data to further sharpen our pricing and packaging recommendations.
Own an entire product or product feature suite, from design through implementation and keep innovating.
Like everyone on the team, you'll also pitch in on customer onboarding and support, and plan and lead projects end-to-end.
As an early engineer, you'll own large pieces of the product and infrastructure from day one.
Whether you want to step into a tech lead role, drive product innovation, or architect major systems, you'll be positioned to take on leadership as we scale.
As an early hire, you won't just build the product - you'll help define how we work and what we value.
This is a chance to create something special, technically and culturally.

Proficiency in React, TypeScript, and SQL (PostgreSQL or similar).
Experience with complex products that have high reliability and accuracy requirements, ideally in a fast-moving environment.

Tackle complex, high-impact challenges.
Turning pricing from an art into a science is a technically hard, high-stakes problem with enormous room for innovation.
High ownership and influence.
Fast-paced career growth and leadership.
Startups mean accelerated growth.
Shape company culture.
Competitive compensation
Free meals - lunch and dinner on us.

Generous early-stage equity package
Full health coverage
AI is at the core of our vision - this year we're building agents that automatically generate quotes for reps and assist managers with approval flows, and that's just the beginning.
Your work will shape both our tech stack and our broader product vision, and you'll make genuinely strategic decisions about how pricing software evolves.
Develop key features for deal pricing and packaging recommendations, blending machine learning with a rule-based engine to optimize pricing.
Contribute to the future product roadmap and our long-term vision of becoming an end-to-end sales optimization platform.
Flexible remote time

This listing is sourced directly from Dealops's careers page and normalized into a canonical job model.