Senior Product Manager - Technical (Analytic Platform)
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 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 Senior Product Manager, Technical (Analytic Platform), you will take QXO's unified analytics and AI platform, from early adopters to company-wide use. We are building the analytic platform to give executives, branch managers, sellers and analysts one trusted place for dashboards, data apps and natural language questions on certified data. You will own the platform roadmap from the next phase through general availability, partnering with platform engineering, data, design, security and AI engineering teams, and with business leaders who depend on the numbers every day.
Your work will make the platform fast, secure, affordable and trusted at scale, with permissions that follow the organization, pages that load in seconds, controlled cost per page view, reliable releases, and an AI assistant that answers from governed data or declines. You will run launches cohort by cohort, align stakeholders across the business, and measure success by weekly active use and trust, not by launches.
Key Responsibilities:
- Own the Platform Roadmap: Develop and communicate the vision, strategy and roadmap for the analytic platform from the next phase through general availability, aligned with engineering, data and business leaders.
- Lead Launches and Rollouts: Plan and run each launch and user cohort end to end, including scope, launch audience, go or no-go criteria, communications, training, support and post-launch follow-up.
- Deliver the Table Stakes: Define requirements for access and permissions, performance, cost controls, freshness, reliability, release and rollback, and usage instrumentation, and hold every release to clear launch gates.
- Align Stakeholders: Partner with executives, business leaders and analysts to stack rank dashboards and data apps, keep one home for every metric, and turn feedback into the roadmap.
- Scale Access Safely: Work with security and identity teams on role-based and row-level access tied to the organization hierarchy, plus access requests and approvals.
- Bring Trusted AI to Users: Partner with AI engineering on natural language questions and insights, with evaluations, accuracy bars and guardrails agreed before each expansion.
- Consolidate Legacy Reporting: Inventory legacy reports and BI tools by usage and lead migration waves onto the platform.
- Data-driven Decision Making: Define success metrics such as weekly active users, page speed, cost per page view, freshness and permission accuracy, and use them to drive continuous improvement.
What you will bring:
Qualification & Skills:
- 6+ years of Technical Product Management experience, with 3+ years on analytics, BI or data platforms.
- 3 years of experience taking technical products from 0:1 end to end.
- Proven track record of launching and scaling an internal or B2B platform to thousands of users, including rollout, training and adoption.
- Experience defining requirements for identity and access, performance, reliability and cost in cloud-based products.
- Familiarity with cloud data warehouses and BI tools (for example BigQuery, Looker, Tableau or Power BI) and how dashboards query data at scale.
- Experience working with executive stakeholders and turning competing requests into a clear, stack-ranked roadmap.
- Strong planning, prioritization, and cross-functional communication skills.
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
Preferred Qualfications:
- MBA or an advanced technical degree.
- Experience with semantic layers, metrics stores or embedded analytics.
- Experience shipping LLM or AI assistant features with evaluations and guardrails.
- Experience with FinOps or cost management for cloud data workloads.
- Experience moving users off legacy BI tools onto a new platform.
- Background in distribution, retail, field operations or other multi-location businesses.
What you will earn:
- Base pay range: $145,000 - $275,000
- 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, sex, 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.