AI Quality & Implementation Analyst

About WhiteCoat

WhiteCoat is a Singapore-headquartered omnichannel provider of integrated health and wellness services that serves as the first and single touchpoint for all care needs in Southeast Asia.

Since launching in 2018, WhiteCoat’s digital platform powers a wide range of services including tele- and in-person consultations, as well as medication fulfilment and diagnostic testing, across primary, specialist and allied care. With a focus on the B2B space, WhiteCoat has forged strategic partnerships with the region’s leading insurers, corporates and care providers, to provide accessible and affordable high-quality care to its users.

The Group currently has offices in Singapore, Indonesia, Malaysia and Vietnam. For more information on WhiteCoat, please visit .

What you will be doing

We are looking for an AI Quality & Implementation Analyst to help turn customer needs into reliable, usable product outcomes. This is a hands-on hybrid role spanning business analysis, manual QA, test automation, AI quality evaluation, and customer-facing implementation.

You will work closely with customers, product, engineering, and delivery teams to understand real workflows, define requirements, test releases, automate regression coverage, and improve how AI-enabled features perform in practice.

On a day-to-day basis, you will be responsible for

• Gather and clarify business requirements through customer conversations, workflow analysis, and stakeholder interviews.

• Convert requirements into process maps, user stories, acceptance criteria, test cases, and release-readiness checklists.

• Perform thorough manual testing across core product workflows, integrations, APIs, edge cases, and production-like environments.

• Design, build, and maintain automated regression tests using modern tooling such as Playwright, Cypress, Selenium, and API-testing frameworks.

• Investigate defects, document clear reproduction steps, assess impact and severity, and partner with engineering through resolution.

• Test AI-enabled workflows for accuracy, relevance, consistency, safety, hallucinations, and business usefulness.

• Create AI evaluation scenarios, representative test datasets, prompt test suites, and quality benchmarks.

• Support customer implementations: configure workflows, validate integrations, troubleshoot issues, and translate feedback into product improvements.

• Participate in release planning, UAT, go-live readiness, and post-deployment monitoring.

• Identify recurring quality, usability, and operational issues; propose practical fixes and automation opportunities.

• Maintain high-quality documentation for requirements, test coverage, known issues, and customer-specific configurations.

What success looks like

Within the first 90 days, you will have established clear test coverage for priority workflows, improved regression confidence through automation, strengthened AI-quality testing, and become a trusted bridge between customers, product, engineering, and delivery.

Our Benefits

• Make a Real Impact: Opportunity to contribute to a leading digital health company's rapid growth.

• Fast-paced Start-up Environment: Experience an environment where you get to own and make tangible impact without bureaucracy getting in the way of rapid decision-making.

• Great Team: Collaborate with intelligent, friendly, and supportive professionals from diverse backgrounds.

• Hands-on Learning & Growth: Gain hands-on experience in strategy, partnerships, operations, and product innovation within a growing industry.

• Competitive Compensation & Benefits: Competitive compensation and performance-based bonus. Holistic health insurance for your peace of mind for both in-patient and out-patient coverage.

How to apply

If you believe you have what it takes for this role, click ‘Apply’ and join us on our journey to make a positive impact on the lives of people through innovative healthcare solutions!

What we are looking for

Required:

• Experience in a hybrid QA, business analyst, implementation, solutions, or product operations role.

• Strong manual testing skills, including exploratory testing, regression testing, UAT, integration testing, and defect triage.

• Hands-on experience with test automation and API testing.

• Ability to turn ambiguous business needs into precise, testable requirements and acceptance criteria.

• Practical familiarity with AI products and concepts, including prompting, LLM limitations, RAG/agent workflows, evaluation methods, hallucination testing, and AI safety.

• Comfortable speaking directly with customers and translating between business users and technical teams.

• A forward-deployed mentality: you take ownership of outcomes, work well in ambiguity, investigate deeply, and unblock delivery rather than waiting for perfect instructions.