Quality and Delivery Manager (Hospitality)

We're transforming from manual to automation-first quality practices and need a quality leader to drive this evolution.

Responsibilities:

Lead quality practices across 10 QA engineers embedded in product squads (matrix organization). You'll define standards, drive automation adoption, and own delivery processes—all through influence, not management. This is a tech lead position shaping quality culture across multiple products.

• You'll Own:
• Quality Guild Leadership – Define QA processes, methodologies, and standards across all squads; champion manual-to-automation transition
• Metrics & KPIs – Create quality measurements, track metrics (defect density, coverage, cycle time), drive data-driven decisions and goal-oriented management
• Test Planning & Delivery – Build test plans for all releases; monitor production/staging environment health; coordinate deployments (min. once per sprint)
• Collaboration – Work with Product Managers and Team Leads to break down work; participate in sprint planning; co-manage incidents
• Tools & AI – Implement test management tools; leverage AI to optimize workflows and documentation (mandatory)

Requirements:

• 10+ years QA experience in product companies (SaaS preferred)
• Proven track record scaling QA and leading quality transformations
• Expert in both manual and automation testing methodologies – Experience as tech lead/influencer in matrix organizations (no direct reports)
• Strong technical skills: JavaScript, Python, YAML, Linux/Windows
• Sprint/Agile experience with CI/CD pipelines – Hands-on creating documentation, test plans, frameworks, templates
• Experience with KPIs, metrics-based measurement, and goal-oriented management (OKRs)
• Mandatory: AI proficiency (ChatGPT, Claude, Copilot) for productivity and workflow optimization
• Experience with test management tools (TestRail, Zephyr, qTest, Xray)
• Hospitality tech experience (big advantage)
• SaaS background (advantage)

Tech Stack:
Languages: JS, Python, YAML, scripting
Process: Agile/Scrum, sprint-based releases, CI/CD
Team: 10 QA engineers across product squads
Tools: Test management platforms, automation frameworks, AI assistants