Salesforce QA Engineer

About Asymbl

Asymbl is the workforce orchestration company bringing together recruiting technology to hire people, digital labor strategy to onboard digital workers, and platform expertise to bring it all together. We help businesses attract, design, manage, and scale a hybrid workforce that drives more meaningful business impact, faster.

We are building a company where human and digital workers operate as one coordinated system of work, and where go-to-market execution is as intentional as the products and services we deliver.

About the Role

We are seeking an outcome-focused Implementation & AI QA Engineer who balances technical excellence with strategic client engagement. In this role, you won't just execute test scripts—you will act as a critical bridge between client expectations, AI-driven applications, and seamless platform performance. You will own the validation of Salesforce configurations, AI workflows including Agentforce/digital workers, and custom integrations to ensure high-quality, high-impact business outcomes.

You will work closely with clients, developers, business analysts, architects, and implementation teams to understand business requirements, translate them into effective test strategies, identify risks, and ensure solutions deliver reliable and measurable business outcomes.

Why Join Us?

At Asymbl, you will test and shape cutting-edge AI technologies and Salesforce implementations. You will work directly with clients and cross-functional teams in a fast-paced, highly collaborative environment. We foster a culture grounded in trust, continuous learning, and a bias to action, where problem-solvers thrive and every team member directly influences customer success.

Key Responsibilities

Client-Facing Quality & Implementation

• Engage directly with enterprise clients during testing phases, User Acceptance Testing (UAT), validation workshops, and solution walkthroughs.
• Understand client business processes and translate requirements into clear, measurable quality criteria and test scenarios.
• Partner with implementation consultants, business analysts, developers, and architects to validate that solutions meet agreed business requirements.
• Guide non-technical business users through UAT, explain testing outcomes, and communicate technical findings in a clear and business-friendly manner.
• Identify implementation risks early and proactively recommend solutions to improve quality and client outcomes.

AI & Agentic Workflow Testing

• Validate AI-driven solutions, including Salesforce Agentforce agents, AI recruiting workflows, digital workers, and LLM-powered applications.
• Test prompt performance, conversational logic, factual accuracy, response consistency, context handling, edge cases, guardrails, and AI-to-human handoffs.
• Evaluate AI behavior across positive, negative, ambiguous, and adversarial scenarios.
• Identify potential hallucinations, inaccurate responses, unexpected behavior, and failure scenarios and work with technical teams to improve AI reliability.
• Support the creation and maintenance of AI evaluation datasets and regression scenarios to ensure consistent performance across releases.

Salesforce & Functional Testing

• Conduct functional, regression, system, and end-to-end testing across Salesforce implementations.
• Test Salesforce configurations, Lightning Experience, Flows, Apex-driven functionality, custom components, and Salesforce Industries/OmniStudio where applicable.
• Validate business processes across Sales Cloud, Service Cloud, and other Salesforce solutions.
• Perform data validation and ensure system behavior aligns with business requirements.
• Develop comprehensive test scenarios covering standard workflows, edge cases, negative scenarios, and business-critical processes.

Integration & API Testing

• Test integrations between Salesforce and third-party applications, middleware, APIs, and external systems.
• Perform REST/SOAP API testing and validate data flow between connected systems.
• Use tools such as Postman or similar platforms for API validation where applicable.
• Validate data mapping, transformation, error handling, and integration failure scenarios.

Outcome-Based Test Strategy

• Design and execute end-to-end test plans, both manual and automated, focused on real-world business outcomes.
• Develop risk-based testing strategies that prioritize critical business processes and customer impact.
• Build reusable test scenarios and regression suites to support scalable implementation and deployment.
• Ensure testing goes beyond functional correctness to assess reliability, usability, adoption, and business impact.

Proactive Problem Solving

• Investigate defects, system bottlenecks, data issues, and logic failures to identify root causes.
• Collaborate with developers, business analysts, architects, and implementation teams to recommend actionable solutions rather than simply logging defects.
• Anticipate potential failure points and proactively identify gaps before they impact clients.
• Support troubleshooting and resolution of production issues where required.

Defect & Lifecycle Management

• Track, prioritize, and manage defects using JIRA or similar tools.
• Clearly document defects with steps to reproduce, expected versus actual results, severity, business impact, and supporting evidence.
• Work closely with development teams to drive defects through resolution while maintaining delivery timelines.
• Perform defect verification and regression testing following fixes.

Continuous QA Improvement & Automation

• Establish and continuously improve QA standards, processes, templates, and best practices.
• Identify opportunities to automate repetitive and high-value test scenarios.
• Build and maintain automated regression suites using tools such as Selenium, Playwright, Provar, or similar frameworks.
• Contribute to improving QA efficiency through reusable test assets, automation, and CI/CD integration where applicable.

Qualifications & Requirements

Required Qualifications

• Experience: 3–5+ years of software quality assurance experience, with hands-on experience testing Salesforce platforms and implementations.
• Salesforce Experience: Experience testing Salesforce Sales Cloud, Service Cloud, Salesforce Industries, OmniStudio, or similar Salesforce solutions.
• Testing Expertise: Strong experience in functional, regression, integration, system, end-to-end, and UAT testing.
• Client-Facing Skills: Strong interpersonal and communication skills, with experience working with clients, business stakeholders, or non-technical users during UAT and validation activities.
• AI Orientation: Familiarity with AI/LLM-based applications, conversational AI, prompt testing, or AI-powered workflows. Direct Agentforce experience is a strong advantage.
• Problem-Solving Mindset: Ability to break down complex business processes, identify edge cases, investigate root causes, and drive issues toward effective resolution.
• Tooling: Experience with JIRA or similar defect-tracking tools and test management platforms.
• Integration Testing: Understanding of API and third-party integration testing, preferably with tools such as Postman.
• Communication: Ability to clearly communicate technical findings, risks, and testing outcomes to both technical and business stakeholders.

Preferred Qualifications

• Direct experience testing Salesforce Agentforce, digital workers, or generative AI solutions within Salesforce.
• Experience with AI evaluation, prompt testing, conversational AI, LLM applications, or AI quality assurance.
• Experience with automation frameworks such as Selenium, Playwright, Provar, or similar.
• Experience with Salesforce Flow, Apex-driven functionality, LWC/custom components, or OmniStudio.
• Experience with REST/SOAP APIs and integration testing.
• Familiarity with data validation and basic SQL.
• Salesforce certifications such as Salesforce Certified Administrator, Salesforce AI Associate, or similar.
• ISTQB Foundation Level (CTFL) or Advanced Level certification, particularly Test Analyst or AI Testing.
• Knowledge of Agile/Scrum methodologies and CI/CD deployment pipelines.
• Experience working with enterprise Salesforce implementations and complex integration environments.

What Success Looks Like

• Salesforce implementations are delivered with high quality and minimal production defects.
• AI-powered workflows provide reliable, accurate, and consistent outcomes.
• Clients have confidence in the testing process and successfully complete UAT.
• Critical business and edge-case scenarios are identified before deployment.
• QA processes become increasingly automated, scalable, and efficient.
• Testing contributes directly to successful implementation, user adoption, and measurable client outcomes.