Technical Product Owner – Ritchie Bros. Financial Services
RB Global is seeking a Technical Product Owner to help drive the delivery and continuous improvement of technology solutions supporting Ritchie Bros. Financial Services.
In this role, you will serve as a key connection between business stakeholders and technical delivery teams. You will translate business needs into clear requirements, user stories, acceptance criteria, and prioritized backlog items while helping guide work through design, development, testing, deployment, and production support.
The ideal candidate combines strong product ownership and Agile delivery experience with the technical knowledge to work effectively across software engineering, QA, integrations, APIs, enterprise systems, data flows, and data-focused teams.
This position is ideal for someone who enjoys solving complex business problems, improving processes, creating clarity across teams, and taking ownership from initial requirements through successful implementation and adoption.
WHY THIS ROLE MATTERS
•Influence how Financial Services product capabilities evolve by owning meaningful roadmap and backlog priorities.
•Translate business strategy into executable requirements, user stories, acceptance criteria, and sprint-ready work.
•Partner directly with business leaders, engineering, QA, system integrators, end users, and production support.
•Drive work across the full delivery lifecycle while balancing business value, technical feasibility, scope, and timing.
Responsibilities
Key Responsibilities
• Own, maintain, and prioritize product roadmaps and backlogs based on business value, technical requirements, dependencies, and stakeholder priorities.
• Partner with business stakeholders to gather, analyze, and translate business needs into detailed requirements, user stories, acceptance criteria, and technical specifications.
• Lead backlog grooming, refinement, prioritization, sprint planning, and ongoing coordination with Agile delivery teams.
• Collaborate closely with software engineering, QA, integration, data engineering, data science, analytics, and other technical teams throughout the development lifecycle.
• Develop a working understanding of data science, machine learning, AI, and LLM-based solutions in order to effectively translate business objectives into actionable technical and product requirements.
• Partner with Data Scientists and technical teams to understand model inputs, outputs, data requirements, limitations, dependencies, and expected business outcomes.
• Support AI and LLM-enabled product capabilities by helping define use cases, business rules, prompt requirements, expected responses, evaluation criteria, and user experience requirements.
• Effectively communicate and refine prompts and business instructions for generative AI and LLM solutions, working with technical teams to improve accuracy, usability, and alignment with business needs.
• Support technical initiatives involving APIs, integrations, enterprise platforms, system interoperability, and data flows.
• Coordinate user acceptance testing, end-user reviews, defect resolution, deployment readiness, and production implementation.
• Identify opportunities to improve business processes, workflows, systems, and operating procedures.
• Develop and maintain clear documentation, process flows, SOPs, training materials, and implementation guidance.
• Support end-user communication, training, adoption, and transition to production.
• Monitor delivered capabilities, gather stakeholder feedback, and prioritize enhancements and continuous improvements.
• Communicate effectively with technical and nontechnical stakeholders and provide clear visibility into priorities, risks, dependencies, and delivery status.
Qualifications
• 3+ years of experience overseeing the design, development, implementation, or enhancement of software, systems, digital products, or technology capabilities.
• Demonstrated experience as a Technical Product Owner, Product Owner, Technical Business Analyst, Business Systems Analyst, or similar role.
• Hands-on experience managing product roadmaps, requirements, user stories, acceptance criteria, backlog grooming, prioritization, and sprint delivery.
• Strong understanding of Agile methodologies, Scrum practices, and the software development lifecycle (SDLC).
• Ability to translate complex business requirements into clear, actionable requirements for engineering, QA, integration, data engineering, and data science teams.
• Working knowledge of data science, machine learning, analytics, and AI concepts, with the ability to communicate effectively with Data Scientists and technical specialists.
• Familiarity with generative AI, large language models (LLMs), and prompt-based applications, including the ability to structure, communicate, test, and refine prompts and expected outputs for business use cases.
• Ability to understand data inputs, outputs, workflows, model requirements, and technical dependencies without needing to personally develop data science models.
• Experience working with APIs, system integrations, enterprise applications, technical requirements, and data flows.
• Experience coordinating UAT, implementation, deployment, documentation, training, and production support activities.
• Strong analytical, problem-solving, process-improvement, and organizational skills.
• Excellent written and verbal communication skills with the ability to bridge conversations between business stakeholders, product teams, engineers, and data science professionals.
• Ability to manage competing priorities and drive initiatives from concept through implementation.
Preferred Qualifications
• Experience within financial services, lending, equipment finance, payments, fintech, banking, or another regulated environment.
• Experience partnering directly with Data Scientists, machine learning teams, analytics teams, or AI-focused engineering teams.
• Exposure to LLMs, generative AI, prompt engineering, AI agents, or other emerging AI-enabled product capabilities.
• Understanding of how APIs, data pipelines, enterprise platforms, and AI/data science capabilities work together within a product ecosystem.
• Experience supporting complex enterprise systems and cross-functional technology implementations.
$4.7B
Q2 2026 gross transaction value
+11% YoY
$1.3B
Q2 2026 total revenue
+11% YoY
$143.6M
Q2 2026 net income
+31% YoY
$1.495–$1.545B
2026 adjusted EBITDA outlook
Raised outlook
10K+
employees globally
Global scale
13
countries with RB Global locations
International reach
Skills Required
- 3+ years overseeing design, development, implementation, or enhancement of software, systems, digital products, or technology capabilities
- Demonstrated experience as a Technical Product Owner, Product Owner, Technical Business Analyst, or Business Systems Analyst
- Hands-on experience managing product roadmaps, requirements, user stories, acceptance criteria, backlog grooming, prioritization, and sprint delivery
- Strong understanding of Agile methodologies, Scrum practices, and the software development lifecycle (SDLC)
- Ability to translate complex business requirements into clear, actionable requirements for engineering, QA, integration, data engineering, and data science teams
- Working knowledge of data science, machine learning, analytics, and AI concepts to communicate effectively with Data Scientists and technical specialists
- Familiarity with generative AI, large language models (LLMs), and prompt-based applications including structuring, testing, and refining prompts
- Ability to understand data inputs, outputs, workflows, model requirements, and technical dependencies without personally developing models
- Experience working with APIs, system integrations, enterprise applications, and data flows
- Experience coordinating user acceptance testing (UAT), implementation, deployment, documentation, training, and production support activities
- Strong analytical, problem-solving, process-improvement, and organizational skills
- Excellent written and verbal communication skills and ability to bridge business, product, engineering, and data science conversations
- Ability to manage competing priorities and drive initiatives from concept through implementation
- Experience within financial services, lending, equipment finance, payments, fintech, banking, or another regulated environment
- Experience partnering directly with Data Scientists, machine learning teams, analytics teams, or AI-focused engineering teams
- Exposure to LLMs, generative AI, prompt engineering, AI agents, or other emerging AI-enabled product capabilities
- Understanding of how APIs, data pipelines, enterprise platforms, and AI/data science capabilities work together within a product ecosystem
- Experience supporting complex enterprise systems and cross-functional technology implementations
RB Global Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RB Global and has not been reviewed or approved by RB Global.
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Retirement Support — Retirement plans with employer matching are highlighted in multiple postings, supporting long‑term savings for U.S. employees. Plan details are positioned as a core component of the total package and are frequently called out alongside other key benefits.
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Equity Value & Accessibility — An Employee Stock Purchase Plan is emphasized, including accessible design features such as cashless participation and look‑back/discount mechanics. Participation is portrayed as broad and a meaningful part of total rewards across regions.
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Leave & Time Off Breadth — Paid time off and company holidays are consistently described as part of the standard offering. Time away benefits are frequently praised as a strength that enhances overall compensation value.
RB Global Insights
What We Do
RB Global, Inc. (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace and trusted provider of value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its global network of auction sites and digital platform, RB Global serves customers worldwide across a variety of asset classes, including automotive, construction, commercial transportation, government surplus, lifting and material handling, energy, mining and agriculture. The company’s end-to-end marketplace solutions include Ritchie Bros., IAA, Rouse Services, SmartEquip and VeriTread. For more information about RB Global, visit rbglobal.com.
