Staff Software Engineer, Fullstack

QXO•Seattle, WA

6h•$160,000 - $288,000

About The Position

As a Staff Software Engineer on QXO’s RevX Pricing Technology team, you will lead the design, development, and operation of systems that cost, price, and quote across QXO’s distribution business. You will own core platform components from architecture through production, including the price calculation engine, cost and margin data services, product relationship models, and configure-price-quote (CPQ) tools used by sales teams. You will work directly with pricing scientists, pricing analysts, and commercial leaders to turn pricing strategy, statistical models, and AI into reliable, auditable production software supporting quoting, eCommerce, and branch point-of-sale channels. The role suits a highly technical engineer who is comfortable with ambiguity and interested in the economics behind the systems they build. You will help replace a third-party pricing engine with QXO-owned software and shape an AI-native platform for the company’s pricing and quoting roadmap.

Requirements

8+ years of hands-on software engineering experience.
3+ years building scalable, distributed systems using object-oriented programming languages such as Java, Python, Kotlin, or Go.
Experience with modern front-end technologies and frameworks such as React, Next.js, or TypeScript.
Strong knowledge of data structures, algorithms, system design, and concurrency.
Experience designing, launching, and operating production systems in a cloud-native environment such as GCP or AWS.
Strong SQL and data modeling skills, with experience building batch and streaming data pipelines.
Experience leading architectural designs and mentoring other engineers.
Experience integrating with enterprise systems such as ERP, CRM, or order management platforms.
Bachelor’s degree in computer science, engineering, or equivalent.
Strong verbal and written communication skills, including the ability to explain technical tradeoffs to business stakeholders.

Nice To Haves

Experience building pricing, CPQ, revenue management, or quote-to-cash systems.
Familiarity with B2B distribution pricing and costing concepts, including price waterfalls, contract and matrix pricing, vendor rebates, landed cost, and cost-plus versus market-based pricing.
Experience building product similarity, recommendation, or catalog intelligence systems, including embeddings, vector search, or market basket analysis.
Experience building production applications on large language models, including retrieval, tool use, agent workflows, and evaluation.
Experience deploying statistical or ML models to production, including feature pipelines, model inference, and model monitoring.
Experience with experimentation frameworks or causal measurement of pricing changes.
Experience building systems subject to SOX or financial audit controls.
Experience with CI/CD pipelines, observability tooling, and performance tuning.
MS or Ph.D. in computer science, economics, operations research, or a quantitative field.

Responsibilities

Design, build, and operate the core pricing engine and low-latency price-serving APIs used by CPQ, eCommerce, and ERP point-of-sale systems.
Build and extend CPQ capabilities, including quote configuration, AI-assisted deal guidance for sellers, approval workflows, and order management integration.
Build costing systems that produce accurate product and order-line costs, including landed cost and vendor rebates, so margin is measured correctly at the transaction level.
Build product relationship services using embeddings and LLM-based product attribute extraction to identify complementary and substitute items for cross-sell, recommendations, and relational price consistency.
Productionize pricing science and AI models, including segmentation, market price, margin, elasticity, and LLM-based agents, with model serving, evaluation, versioning, and monitoring.
Build data pipelines integrating transaction, cost, rebate, product, and competitive data from ERP and data warehouse sources.
Build pricing controls into the platform, including price-change audit trails, change management, and guardrails on AI-generated recommendations that meet SOX and IT general control requirements.
Lead migration from the incumbent pricing engine, including parallel-run validation, reconciliation, and cutover.
Lead design, architecture, and code reviews, and drive operational excellence and system reliability.
Mentor engineers and shape engineering practices across the team, including effective use of AI coding tools.