Salesforce Consultant, Quality Assurance

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions, integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more, to revolutionize workflows, elevate customer experiences, and deliver tangible results.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's #1 partner for Agentforce.

We're looking for a hands-on QA Consultant to work on a team as individual contributors while having the capability of owning end-to-end quality strategies for a large, multi-stream Salesforce, AWS, AWS Connect, AI and cloud based programs. You'll serve as the quality gatekeeper across functional, SIT, E2E, UAT, regression, performance, load and go-live activities, while equally comfortable stepping in as a hands-on contributor.

You'll be part of a quality assurance team that executes across multi-cloud Salesforce solutions and AWS Connect contact center implementations, including IVR telephony, enterprise integrations, and GenAI/Agentic AI features.

Key Responsibilities:

• Serve as the single QA point of contact for Associate Consultants, clients, program Associate Consultants, and technical leads, acting as a trusted quality advisor
• Define quality strategies, identify risks early, establish Test Strategy and Test Coverage, and deliver reliable solutions within fast-paced implementation timelines
• Own QA program management end-to-end, including resource planning, risk management, defect governance, cross-functional coordination, and stakeholder reporting
• Maintain live QA dashboards and prepare QA status reports for weekly program reviews, steering committees, and go/no-go decisions
• Coordinate environment and release strategy, including sandbox and staging environments, deployment schedules, change sets, and testing windows
• Lead go-live readiness assessments, including test completion metrics, open defect risk summaries, and formal sign-off documentation
• Own hypercare QA support post-launch, including triaging production issues, coordinating hotfix validation, and maintaining a known issues log
• Apply sampling strategies, accuracy benchmarking, and regression testing to validate LLM-powered and Agentic AI features
• Independently author Test Strategy, Test Approach, scenario-based test cases, acceptance criteria, and traceability matrices mapped to SOW scope
• Write negative, boundary, and edge case scenarios across complex multi-cloud and contact center workflows
• Lead exploratory testing for complex and ambiguous workflows, applying risk-based judgment to prioritize coverage
• Validate platform configurations, business rules, routing logic, automation workflows, integration touchpoints, and data flows
• Own end-to-end testing of integration layers, including API request/response validation, middleware transformations, screen pop behavior, and bidirectional data sync
• Lead SIT, E2E, UAT, regression, performance, load, and go-live testing across all release cycles
• Facilitate UAT readiness sessions with business stakeholders and drive structured sign-off
• Own the full defect lifecycle, including creation, triage, prioritization, SLA tracking, root cause tagging, and trend analysis
• Produce defect health reports and quality metrics summaries for program leadership and client stakeholders

Required Qualifications:

• 3-6 years in Quality Assurance roles
• 4+ years of hands-on experience in functional, integration, system and automated testing of Salesforce and/or AWS Connect implementations
• Hands-on lead experience delivering at least one contact center and IVR telephony project using Service Cloud Voice, Amazon Connect, or comparable platforms such as Twilio, Avaya, Cisco, or Genesys
• Thought leadership in future team development, leveraging AI agents to make the team and company more efficient
• Demonstrated ability to operate as a solo QA owner in early project phases, building the program independently before scaling the team
• Exposure to Contact Center and ITSM domains strongly preferred
• Hands-on experience leveraging mainstream AI (LLM) tools

Tools and Technical Skills:

• Test Management and Planning: Jira/Xray, Azure DevOps, Zephyr Scale, TestRail, or qTest
• Defect Tracking and Governance: Jira for end-to-end defect lifecycle management
• CI/CD and DevOps-Aware Testing: Jenkins, GitHub Actions, or Azure DevOps; Git-based version control with GitHub, GitLab, or Bitbucket
• Test Automation and Performance Testing: UI automation tools, Postman, REST Assured, or SoapUI for API testing; Cyara, Hammer, JMeter, ContextQA, ContextAI, Tosca, Selenium, or Playwright for performance and automation
• GenAI and Productivity Tools: Claude, Copilot, or ChatGPT for test case generation, test data creation, and QA documentation
• Reporting and Collaboration: Confluence, Slack, Microsoft Teams, Google Drive, and SharePoint

Soft Skills and QA Leadership:

• Trusted Advisor Presence: Earns client confidence through expertise, transparency, and consistent delivery
• Radical Ownership: Takes full accountability for quality outcomes across the program
• Hands-On Leadership: Leads by doing, mentoring junior team members while drafting and executing test cases
• Proactive Risk Management: Anticipates quality risks, raises blockers early, and brings solutions
• Utilization Ownership: Forecasts direct reports across engagements to ensure full utilization (40 hours) week-to-week
• Composed Under Pressure: Navigates defect escalations and delivery conflicts with professionalism and judgment
• Intellectually Curious: Deeply understands the business process being tested, not just the technical specification
• Comfortable with Ambiguity: Makes risk-based quality decisions even when requirements are incomplete or evolving
• Finisher Mentality: Drives every test cycle through to formal sign-off and release
• Clear Communicator: Articulates QA status, risks, and recommendations to technical and non-technical stakeholders
• Collaborative Coach: Develops junior QA team members, supports client UAT efforts, and fosters a quality-first culture

Compensation:

Compensation at Accenture varies depending on factors such as office location, role, skill set, and level of experience. California annual salary range: $94,400 to $266,300 USD. New York / New Jersey annual salary range: $87,400 to $266,300 USD. Ranges for other states are listed in the full posting.