Engineering Program Manager, Quality Assurance - Customer Systems

** Weekly

Hours:

** 40

** Role Number:*
* ** Summary*
* The Program Manager - Quality Assurance will Leads end-to-end quality execution and program governance for large scale software development programs. This is a hands-on, execution-focused role that requires close partnership with Engineering, Product, Operations, and Vendor teams to ensure quality, readiness, and smooth delivery across all migration phases. Leveraging GenAI to gain efficiencies in quality management.
We are looking for a Program Manager who brings practical experience in QA, test automation, and release management - including hands-on use of GenAI tools to accelerate and enhance quality workflows. In this role, you will coordinate and execute testing activities, manage risks and dependencies, and drive release readiness across multiple work streams. You thrive in fast-paced, complex environments and are passionate about delivering high-quality customer experiences.

** Description*
* Partner with Engineering and Product to define test plans, test scope, and acceptance criteria for migration features and integrations.
Coordinate and track functional, integration, regression, and business testing across teams. Ensure test environments, data, and test cases are prepared and validated ahead of each testing cycle.
Drive day-to-day execution across cross-functional teams including Engineering, Contact Center Operations, Infrastructure, Security, SRE, Architects, Platform Teams, Dev Ops, Vendors.

Identify and track dependencies, risks, and blockers; escalate proactively with clear context and mitigation options.
Align QA timelines with release plans, pilots, and phased rollouts.
Facilitate defect triage, track resolution progress, and ensure closure prior to release milestones.
Maintain clear visibility into QA readiness, test coverage, and open risks.
Support go/no-go decisions with structured and well-documented readiness assessments.
Deliver regular, concise status updates to both technical and business stakeholders.

Translate QA risks and findings into business impact and customer experience implications.
Serve as the coordination point between internal teams and external vendors throughout testing cycles.
Continuously improve QA processes, templates, and reporting practices across the program.
Drive the adoption of test automation and structured release governance where applicable.
Leverage GenAI tools to auto-generate test plans, test cases, and acceptance criteria from product requirements, design specs, and user stories

Use GenAI to perform gap analysis on existing test coverage by analyzing requirements documents and surfacing untested scenarios
Automate the generation of status reports and dashboards by feeding GenAI structured test run data and defect metrics
Apply GenAI tools to triage and classify incoming defects - auto-tagging by severity, component, or feature area to reduce manual overhead
Use GenAI to analyze retrospective data and surface recurring process bottlenecks or quality escapes across sprints and releases
Apply GenAI to benchmark QA process maturity by comparing current workflows against industry best practices
Leverage GenAI to help design and refine QA workflows, checklist templates, and team onboarding guides
Evaluate and champion GenAI-assisted test automation tools that can generate and maintain automated test scripts from natural language descriptions

** Minimum Qualifications*
* +

Experience with platform migrations, system integrations, or SaaS implementations.

+ Proficiency with QA tools such as Selenium, Playwright, JMeter, Rest Assured and a working understanding of test automation concepts.

+ Experience collaborating with vendors or external implementation partners

+ Experience applying GenAI tools and AI-assisted workflows within Quality Engineering or SDLC processes.

+ Strong organizational, communication, and execution skills.

** Preferred Qualifications*
* +

Experience with platform migrations, system integrations, or SaaS implementations.

+ Proficiency with QA tools such as Selenium, Playwright, JMeter, Rest Assured and a working understanding of test automation concepts.

+ Experience collaborating with vendors or external implementation partners

+ Experience applying GenAI tools and AI-assisted workflows within Quality Engineering or SDLC processes.