Staff Software Engineer, Fullstack
QXO
Listing collected from QXO's career site. NextChapter is independent of QXO.
Seattle, WA · Posted November 6, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 229 open staff software engineer listings that state pay, the middle half runs $218,000 to $260,000 and the median is $242,000.
Listed pay is what employers advertise, not what people are paid.
Staff Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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'll 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'll 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'll 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 careers@QXO.com if you have any questions related to this job posting.
Salary Range:
USD $160,000.00 - USD $288,000.00 /Yr.
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
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