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Director of Engineering, Sales Technology at QXO, Seattle, WA

Director of Engineering, Sales Technology at QXO in Seattle, WA. Full-time. Est. up to $250k. Apply with swipeandhired.

We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution.

QXO is a publicly traded company founded by Brad Jacobs with the goal of building the market-leading company in the building products distribution industry. On April 30, 2025, QXO completed its first acquisition: Beacon Building Products, a leading distributor in the sector.

We are building a customer-focused, tech-enabled, and innovation-driven business that will scale rapidly through accretive M&A, organic growth, and greenfield expansion. Our strategy is rooted in delivering exceptional customer experiences, improving operational efficiency, and leveraging data, digital tools, and AI to modernize a historically under-digitized industry.

What you will do:

About the Role
QXO is hiring a Director of Engineering – Sales Technology to own the architecture, engineering, and delivery of our revenue technology stack. This leader will build and scale the Sales Tech engineering team while delivering modern systems that power sales, marketing, and GTM execution. This role reports to the Vice President of Revenue Technologies and has high executive visibility, regularly presenting to and interacting with the CTO, Chief Sales Officer, COO, and even CEO.
You’ll lead the design and development of both CRM-integrated and custom-built services, tools, and frontends—supporting lead generation, customer segmentation, and AI-powered sales workflows. This is a hands-on leadership role: while you won’t code daily, you’ll remain deeply involved in architecture, technical decision-making, and delivery.
You’ll partner closely with Sales Operations, Marketing, Data/ML, Finance, and Core Engineering to deliver a scalable, intelligent revenue platform that drives growth and operational excellence.
You’ll start with a team of 5-10 software engineers, with the ability to hire more as you refine the team’s roadmap.

Responsibilities
Build & Lead the Sales Tech Engineering Function

Hire, mentor, and lead a high-performing team of software engineers, Salesforce developers, and AI engineers.

Define team structure, ownership boundaries, engineering standards, and development best practices.

Foster a culture of accountability, collaboration, and technical excellence.

Own the Sales & Marketing Technology Platform & Roadmap

Take ownership of our in-flight Next Best Action agentive frameworks, AI-enhanced lead generation workflows, custom web/mobile/agentive platforms, and cross-business integrated CRM frontends.
Define and execute the Sales Tech roadmap in partnership with Product, Science, and Engineering leaders and Sales & Marketing executives.

Position the CRM as a core system of record while integrating with internal services, ERP, POS, and the company’s data & AI platforms.

Evaluate and prioritize initiatives, balancing near-term business needs with long-term scalability and architectural health.

Architecture, Engineering & Delivery

Architect and oversee development of revenue-critical systems including guided selling, lead routing, integrations, and internal or customer-facing applications.

Translate business requirements into robust technical designs using Salesforce (Apex, LWC, Flows) and general-purpose services (restful APIs, React-based web and mobile apps, event-driven systems, data pipelines).

Review designs and implementations for performance, security, maintainability, and user experience.

Enforce modern engineering best practices: source control, code review, automated testing, CI/CD, and structured releases.

Customer Data, CDP & Intelligence

Own the customer data foundation across Salesforce, Segment CDP, Clay, custom services, and the data platform.

Design and govern entity resolution to create consistent “golden” customer records across systems.

Partner with Marketing and GTM teams to enable segmentation, lifecycle automation, and real-time signals for sales and marketing workflows.

Enable AI- and ML-powered capabilities (e.g., lead and deal scoring, next-best actions) in partnership with Data/ML teams.

Governance, Reliability & Operations

Own configuration, security, and governance of Salesforce and connected revenue systems.

Define standards for data models, APIs, permissions, and integrations.

Ensure reliability, observability, and compliance across revenue-critical services and data pipelines.

Establish operational practices for incident response, root-cause analysis, and platform support.

Partner Across the Business

Work closely with Sales Ops on lead, account, opportunity, territory, and forecasting processes.

Collaborate with Marketing on campaign orchestration, feedback loops, and revenue attribution.

Partner with Finance, Customer Success, Data/ML, and Core Engineering on cross-platform initiatives.
Serve as a trusted advisor on scalable revenue systems—not one-off solutions.

What you will bring:

Required

8–12+ years of experience in software engineering and CRM/revenue systems, with 4–5+ years leading engineering teams.

Proven experience building and operating production systems (APIs, services, integrations, web applications), ideally in B2B environments.

Experience with modern engineering practices: Git, CI/CD, testing, observability, and release management.

Strong understanding of B2B sales and GTM processes and how to encode them into scalable systems.

Experience with customer data modeling, identity resolution, and integrating multiple data sources.

Excellent communication skills and comfort working with senior business and technical leaders.

Preferred

Experience building or scaling Sales Tech / Revenue Engineering teams.
Strong Salesforce experience (Sales Cloud, Lightning) paired with experience designing systems outside Salesforce that integrate with it.
Hands-on experience with Apex, LWC, Flows, and at least one general-purpose language or framework (e.g., Typescript, Python).

Familiarity with customer segmentation, CDPs, marketing automation platforms, and sales engagement tools.

Experience delivering AI/ML-driven scoring, recommendations, or workflow automation.

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