Staff Software Engineer, Fullstack
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 7, 2026. QXO scores A on the Alion truth index.
Overview
QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America’s largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com.
What you will do:
As a Staff Software Engineer on the QXO RevX Pricing Technology team, you will lead the design, development, and operation of the systems that cost, price, and quote across QXO’s distribution business. You will own core platform components from architecture through production: the price calculation engine, cost and margin data services, product relationship models, and the configure-price-quote (CPQ) tools our sales teams use to build and win deals. You’ll work directly with pricing scientists, pricing analysts, and commercial leaders to turn pricing strategy, statistical models, and AI into reliable, auditable production software that serves quoting, eCommerce, and branch point-of-sale channels.
This role is ideal for engineers who are highly technical, 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 that supports our pricing and quoting roadmap for years to come.
Key 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 that use 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 (segmentation, market price, margin, elasticity, and LLM-based agents), including model serving, evaluation, versioning, and monitoring
- Build data pipelines that integrate 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
What you will bring:
- 8+ years of hands-on software engineering experience
- 3+ years building scalable, distributed systems using object-oriented programming languages (Java, Python, Kotlin, Go, etc.)
- 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 (GCP, 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 Have
- Experience building pricing, CPQ, revenue management, or quote-to-cash systems
- Familiarity with B2B distribution pricing and costing concepts: 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
What you will earn:
- Base pay range: $160,000 - $288,000
- Annual performance bonus
- Long term incentive (equity/stock)
- 401(k) with employer match
- Medical, dental, and vision insurance
- PTO, company holidays, and parental leave
- Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.
- Paid training and certifications
- Legal assistance and identity protection
- Pet insurance
- Employee assistance program (EAP)
QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, gender or sexual orientation, national origin, age, disability, or any other protected status.
To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.
Please contact [email protected] if you have any questions related to this job posting.