Manager, Quality Engineering Remote

Orchid Group is the technology team behind a family of software companies in the assisted-reproduction space. Our products manage escrow and finances for surrogacy, egg donation and fertility journeys. We also run a platform that supports the federal Independent Dispute Resolution process between healthcare providers and insurers.

Our software handles client funds, payment data and sensitive personal information for families going through some of the most important moments of their lives. Quality here isn't a checkbox. It protects people's money, their trust, and their path to building a family.

We are a distributed team across the US and Latin America, working on Eastern Time. We use AI as part of how we build software, always with people reviewing and approving the work.

This is a new role. You'll be our first leader of quality engineering across all our products.

Today, testing lives inside each product team. There are no shared standards, no common tooling and no group-wide quality metrics. You'll change that. QA engineers across our products will report to you, and you'll partner closely with each product's engineering lead, who owns sprint priorities and the final release decision.

You'll start by learning what each team already does well. Then you'll help every QA engineer on the team grow, using test automation and AI-assisted tools in a responsible, measurable way.

• Assess before you change. In your first month, meet every QA engineer and engineering lead. Review how each product is tested today: strategy, automation, CI/CD, test data, defect handling and release sign-off. Deliver a written assessment, a prioritized plan and a baseline for each product.
• Build shared automation. Stand up shared API and UI test automation running in CI, prove it on one product, then extend it across the group.
• Set the standard. Define group-wide QA practices and release-readiness criteria. Give QA input on every release, while engineering leads keep the go/no-go call.
• Own the numbers. Track and report quality metrics on a regular cadence, and be clear about how they're measured.
• Use AI responsibly. Apply AI-assisted tools to test design, test generation, automation code, documentation and defect analysis. Every AI output is reviewed by a person before it's used. New tools go through architecture review, and no tool touches production client, payment or health data without approval.
• Grow the team. Set goals, give feedback, run reviews and put every QA engineer on a development plan. Partner with the CTO and HR on hiring for the QA team.

• 10+ years in QA and quality engineering, including building or rebuilding a QA function and managing QA engineers and/or SDETs.
• Hands-on test automation experience with UI and API frameworks (e.g., Selenium, Playwright, Cucumber, Mocha) and CI/CD (e.g., Git Hub Actions, Jenkins, Team City).
• Practical experience using AI-assisted testing or engineering tools, and examples of the results they produced.
• Experience with quality metrics, traceability, release readiness and risk-based testing.
• Experience testing financial, payment, tax or other regulated software.
• Comfort leading a distributed team across time zones, and influencing engineering leads you don't manage.
• Experience designing Jira workflows, and clear written communication with both engineers and executives.

• Healthcare or PHI-adjacent product experience.
• Performance testing (JMeter or similar).
• Experience with AWS or Google Cloud test environments.

• A written assessment and quality baseline for every product with a QA engineer.
• Shared automation running in CI on at least one product, with measured gains in coverage and test cycle…