Manager, Quality Engineering & AI Validation

Please note:

This position is not eligible for immigration sponsorship.
Company Overview

We are the better way to work in finance. As private equity's value creation partner, we sit at the heart of PE-where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value-supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Manager, Quality Engineering and AI Validation

The Manager of Quality Engineering and AI Validation leads Accordion's centralized Quality Engineering and AI Validation function across software delivery pods. This impactful role will be critical in owning the quality operating model, release-readiness standards, test strategy, AI validation framework, and quality metrics used to support both conventional software and AI-enabled solutions. Above all, this leader will ensure quality is designed into delivery from the start, not inspected in at the end.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.
What You'll Do:

Quality Strategy & Governance

• Define the firm-wide quality strategy, release gates, and validation standards across development pods
• Establish a risk-based quality model for traditional software and AI-enabled workflows
• Define when pod-level validation is sufficient and when independent QA validation is required

AI Validation Leadership

• Build and operationalize the QA approach for AI-led products, including benchmark datasets, scoring rubrics, regression comparisons, and grounded-output validation
• Establish testing expectations for instruction adherence, consistency, business correctness, control compliance, and hallucination risk
• Partner with Engineering and Product leaders on quality implications of prompt, model, workflow, and tooling changes

Team Leadership

• Lead and develop quality engineers, AI quality analysts, and domain-oriented QA resources
• Improve the maturity of automation, evaluation routines, test evidence standards, and release discipline
• Create a scalable central model that supports pods without becoming a bottleneck

Finance & Risk Alignment

• Partner with Finance and practice SMEs to ensure solutions are validated against real business use, materiality, and control expectations
• Ensure high-risk workflows receive the right level of domain review before production release

Production Quality

• Define the framework for production quality monitoring, including escaped defects, output-quality degradation, reviewer overrides, and control failures
• Create visibility into quality trends, readiness, and recurring failure patterns for Engineering and leadership

You Have:

• 8+ years of QA, software testing, or quality engineering experience, including team leadership - you are a builder of quality systems and operating models
• Deep fluency in both engineering quality and business impact
• Experience building test strategy, release-readiness processes, and automation programs in modern software environments
• Experience supporting AI-enabled applications, workflow automation, data products, or decision-support systems
• Strong understanding of functional, integration, regression, API, and data validation approaches
• Ability to translate business-critical finance workflows into quality controls and release criteria
• Comfortability asking tough questions about readiness, risk, and evidence
• Strong communication skills and credibility with Engineering, Product, and business stakeholders - you are structured, pragmatic, and highly credible
• Consistent focus on trust, traceability, and scalable execution
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing…