QA Manager (AI‑Driven Automation)

Please note looking for someone who can join immediately and work out of our office in Hi-Tech city.

SimplifyVMS is a next-generation Vendor Management System (VMS) and Contingent Workforce Management Platform designed for global enterprises and Managed Service Providers (MSPs). Our multi-tenant, cloud-native SaaS platform helps organizations manage contingent labor, SOW engagements, and service procurement with agility, compliance, and intelligence.

With customers across North America, EMEA, and APAC , SimplifyVMS is building a scalable, secure, and globally compliant platform that supports multi-region data storage, GDPR compliance, multi-currency transactions, and localization across multiple hierarchies and organizational levels.

SimplifyVMS powers complex, highly configurable enterprise workflows across multiple countries, currencies, and languages. We’re looking for a hands‑on QA Manager who owns end‑to‑end product quality outcomes , brings an AI‑first testing mindset , and can scale rigorous, automation‑heavy quality practices for a global platform.

What you’ll do

• Own the quality bar for a multi‑tenant, configuration‑rich B2B SaaS platform; define the test strategy and ship-readiness criteria for every release.
• Lead and develop a team of 7–8 QA engineers (hiring, coaching, 1 : 1s, growth plans, performance reviews) while remaining hands‑on with complex investigations.
• Scale automation across UI, API, services, data pipelines, and integrations; drive shift‑left testing with developers and SDETs.
• Apply AI natively : use LLMs / AI tools to generate test cases, expected outcomes / oracles, test data, and regression summaries; build AI‑assisted validation flows for edge cases and configuration explosions.
• Design thousands of scenarios and combinatorial suites that challenge functionality, security, performance, and reliability across locales, currencies, time zones, and user roles.
• Performance & load testing : establish SLAs / SLOs, capacity models, soak tests, and failure budgets; partner with DevOps to run scalable, repeatable load tests in CI.
• Data privacy & compliance testing : validate features against international data laws (e.g., GDPR, DPDP Act, CCPA) and customer data‑residency requirements; champion privacy‑by‑design and secure test‑data practices.
• Configuration & rules testing : build frameworks to validate complex business rules, rate cards, workflows, and approvals across countries / clients with feature flags and tenant configs.
• CI / CD quality gates : own build health, flaky‑test reduction, and release quality metrics; automate go / no‑go signals.
• Cross‑functional leadership : partner with Product, Engineering, Security, Compliance, and Customer Success; coordinate enterprise UAT and post‑release validations.

What you’ll bring

What you’ll own (outcomes & metrics)

Nice to have

How we work

Interested? Send your resume and a short note on an AI‑driven test strategy you’ve implemented, including tools used and impact (metrics).