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Cadre Inc

Backend Engineer

Cadre Inc, San Francisco, California, United States, 94199

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AI’s transforming how companies price, sell and scale. The shift towards outcome-based and hybrid pricing models has unlocked a $25B+ market - demanding smarter solutions across pricing, deal execution, and sales compensation.Led by ex-Stripe operators and backed by Pear VC, General Catalyst and execs from OpenAI, Stripe and Slack, Dealops is pioneering AI‑driven tools that enable flexible pricing, streamline workflows and boost sales performance.

The Role We’re looking for a

Senior Software Engineer

to join our growing engineering team and help us build the next-gen AI-powered platform for revenue optimization. You’ll work across the stack, from building our core deal pricing product to helping customers optimize their revenue strategies using data-driven insights. We’re a small team, so there will be plenty of opportunities to fully own high-impact products.

What are the kind of things you’ll do

Develop key features for deal pricing and packaging recommendations, blending machine learning with rule-based engines to optimize pricing.

Develop highly customizable workflow engine for Sales/Finance organizations to support the needs of our customer’s diverse needs.

Be in close touch with our customers, understanding their pain points and building simple but powerful solutions. You will own vertical and horizontal product/infra categories end to end.

Incorporating and Improving AI Agents into the various workflows. Learn and build along side seasoned AI builders to blend AI Agents with classic software stack.

Spearhead infrastructure and tooling for admin users, enabling customization through natural language and LLMs (cutting customer onboarding time by 10x).

Contribute to the future product roadmap and vision, laying the groundwork for sales optimization solutions beyond pricing.

Own an entire product or product feature suite, from design to implementation, and continue to innovate.

What excites us: 5+ years of experience

in software development, with a strong focus in

Backend Development .

Proficiency in

Distributed Systems ,

Scaling Databases ,

TypeScript , and

SQL

(PostgreSQL or similar).

Proven ability to build and launch scalable, reliable software products in collaboration with cross-functional teams.

Experience with complex systems and high-impact features, ideally in a fast-moving environment.

Experience with multiple database technologies that power Search, Analytical queries is a plus.

Experience with building AI Agents, evaluation models, RAG systems and productionization of AI systems is a big plus.

What excites you:

Tackle Complex, High-Impact Challenges

– Transforming pricing from an art to a science is a technically complex, high-stakes problem with tons of room for technical innovation and creative problem-solving. What we are building is complex but you thrive in developing elegant solutions to complex problems. You want to break ground in creating highly grounded AI systems that don’t hallucinate and provide high degree of accuracy while making sales flows 10x faster.

High Ownership & Influence

– As an early engineer, you'll own large pieces of the product and infrastructure from day one. Your work will have a direct and visible impact, shaping both our tech stack and broader product vision. You’ll also have many opportunities to make highly strategic decisions, not just in development but also in defining how pricing software evolves. You enjoy being an owner and are high agency with an bias for action.

Benefits

Fast-Paced Career Growth & Leadership Opportunities

– Working in a startup means real, accelerated career growth. Whether you want to step into a tech lead role, drive product innovation, or architect major projects, you’ll be in a prime position to take on leadership as we scale.

Shape Company Culture

– As an early hire, you won’t just build the product—you’ll help define how we work together and what our company values become. This is an opportunity to create something truly special, both technically and culturally.

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