Quality Engineering Manager

Heritage Auctions•Irving, TX

4d•Hybrid

About The Position

About Heritage Auctions Heritage Auctions is the world’s largest collectibles auction house and a technology-driven marketplace leader. Our platforms support millions of registered bidder-members and billions in annual transactions across more than 50 specialty categories. As our technology ecosystem continues to grow across customer-facing platforms, internal systems, integrations, and data-driven workflows, quality must be engineered intentionally to protect revenue, reputation, and client trust. Position Summary Heritage Auctions is seeking a hands-on Manager, Quality Engineering to help establish and lead a modern, AI-centric quality approach across the organization. This is a working manager role for a candidate who can both define strategy and execute directly. The person in this role will help build a scalable Quality Engineering function that improves consistency, strengthens release confidence, and brings a more intelligent, risk-based approach to testing across systems and workflows. This leader will use modern tools and AI-enabled methods to accelerate test design, expand coverage, improve defect detection, and support better release decisions, while applying sound judgment around business risk and user impact. This role is not intended to replace existing testing ownership within individual teams. Instead, it provides hands-on leadership in areas where formal Quality Engineering coverage is limited, while establishing shared standards, improving release confidence, and driving a more consistent approach to quality across systems and workflows. This is an opportunity for someone who wants to build. The right candidate will help shape the operating model, introduce practical and scalable approaches to quality, and lay the foundation for future growth of the Quality Engineering function at Heritage Auctions. Benefits: Heritage Auctions offers a comprehensive benefits package, including: Medical, Dental, and Vision coverage Paid Time Off (PTO) 401(k) Savings Plan onsite gym with access to a personal trainer Hybrid work flexibility Location: Our headquarters is conveniently located south of Dallas/Fort Worth International Airport, at the northwest corner of W. Airport Freeway (Highway 183) and Valley View Lane. Compensation: Commensurate with experience

Requirements

5+ years of experience in Quality Assurance, Quality Engineering, or software testing roles.
Experience operating in a lead, manager, or player-coach capacity, with the ability to balance hands-on execution and team or process leadership.
Strong experience testing one or more of the following: enterprise business applications, internal operational systems, APIs and integrations, cross-system or service-to-service workflows, or data-driven applications.
Strong working knowledge of test strategy, test planning, and test case design; functional and exploratory testing; defect tracking, triage, and root-cause analysis; API testing concepts, including REST services, integrations, and contracts; and release readiness and quality risk assessment.
Ability to work across multiple teams, systems, and priorities simultaneously.
Strong analytical skills, attention to detail, and sound judgment.
Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
Demonstrated interest in and practical understanding of how AI is changing software development and testing.

Nice To Haves

Experience helping build, modernize, or scale Quality Engineering practices in a growing technology organization.
Experience using AI tools to support testing, engineering workflows, analysis, or quality improvement.
Experience with one or more of the following: API testing tools such as Postman, SoapUI, or similar; test automation tools or scripting; CI/CD environments and modern delivery practices; SQL and relational database validation; or testing data-heavy, workflow-driven, or AI-enabled systems.
Experience working in environments with distributed testing ownership and shared quality standards.
Experience or familiarity with one or more of the following technologies: PHP, SQL and relational databases, .NET-based applications, or Python-based systems or services.

Responsibilities

Lead the development of a modern Quality Engineering approach that emphasizes AI-assisted testing and analysis, risk-based quality practices, repeatable quality standards across teams and systems, and scalable processes that improve quality without unnecessarily slowing delivery.
Serve as a working manager by personally contributing to functional testing for enterprise applications, internal systems, APIs, integrations, and cross-system workflows; test strategy, test planning, exploratory testing, and quality analysis; defect triage, documentation, prioritization, and root-cause analysis; and early identification of functional risk, workflow gaps, and release concerns.
Help define and implement an AI-centric quality model, including using AI tools to accelerate test case generation, regression design, exploratory coverage, and quality analysis; evaluating where AI meaningfully improves speed, coverage, and insight; establishing practical standards for reviewing and validating AI-assisted testing outputs; and advancing quality practices for data-driven and AI-enabled workflows, including behavioral regression, variability testing, and workflow consistency.
Establish quality standards and release readiness practices by creating consistent functional testing expectations across systems and teams, identifying coverage gaps, ownership gaps, and recurring quality risks, supporting more structured and predictable release readiness processes, and helping create practical quality metrics, scorecards, or reporting that improve visibility and accountability.
Partner closely with developers, product owners, and business stakeholders to clarify requirements and acceptance criteria, surface quality concerns earlier in the software development life cycle, improve coordination around testing and release readiness, and support User Acceptance Testing by organizing test cases, validating readiness, and enabling effective business handoff.
Help shape the future of the function by recommending the right balance of hands-on testing, automation, AI tooling, and future hiring; contributing to the hiring and development of additional Quality Engineering resources over time; and promoting a culture of continuous improvement in quality practices across the organization.