Senior QA Engineer

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team Managed Services sits within Professional Services. We're Outreach, CRM, and GTM technology experts who help customers get full value from the platform once implementation ends. Our Managed Service Consultants are trusted advisors. They drive adoption, flag risk, and grow usage, so customers keep exceeding their goals. The Role You'll join our India-based Managed Services team, chartered with building our customers' AI Agents beyond what was set up during implementation: opening new use cases and growing Amplify credit and product consumption. You’ll own and expand our largest, most complex portfolio of accounts and guide customers through best practices and hands-on configuration to drive outcomes and deepen adoption. You will partner with the leaders and team to set the technical standard for the practice and be a go-to resource when other consultants hit edge cases. You'll stay technically fluent in Outreach's evolving capabilities, AI included, so you can configure and troubleshoot in real time. The role mixes technology and business consulting with solution design and project management. You'll work closely with Customer Success and Account Executives, build rapport fast, and influence customer outcomes. You'll own results for your book of business against Managed Services KPIs, and report to a Practice Manager, Managed Services. Key Performance Indicators: Manage a book of business with an average QoQ utilization rate of 70%, with a focus on Amplify credit and product consumption — ultimately supporting renewal rates and the minimization of churn and contraction. Location: This is a remote role, based in Hyderabad. There may be occasional in-person or team events and if asked to attend, it will be during local IST hours. Working Hours: This is a customer-facing role and will require working US-based hours (night-shift allowance provided). Your Daily Adventures Will Include: : • Develop and execute comprehensive automation test plans and test scripts based on project requirements • Strong Hands-on coding experience with one of the Programming languages like Java, Python, JavaScript or TypeScript. Preferably JavaScript. • Proficient with one of the automation tools like Cypress, Web Driver IO, Protractor • Hands-on using with AI-Driven Automation • Experience working on CI/CD pipelines (Circle CI / Jenkins / Azure Devops) • Hands-on experience with one of the Database/s like PostgreSQL / SQL • Knowledge on microservices architecture • Hands-on experience with API Automation (using Postman, Rest Assured, Super Test, Axios) • Working experience on one of the Web Services like Graph QL / Rest Assured • Experience testing Gen-AI Applications, Agentic Workflows and automating them is a plus. • Conduct functional, regression, and database testing to ensure software quality • Working experience on Enterprise SaaS is a must • Working Experience with cloud platforms such as AWS, Azure, or GCP. • In-depth understanding of QA methodologies, SDLC, STLC, and Agile practices. Our Vision of You: : • 3-5 years of experience in software development and/or test automation, with demonstrated experience leading quality efforts on complex, distributed systems. • B.S. in Computer Science or a related technical field. • Strong programming skills in Python, with experience writing reusable, maintainable test frameworks. • Proven experience testing large-scale backend or platform systems, including microservices and API layers. • Deep understanding of test design principles, CI/CD integration, and scalable test automation. • Experience with test frameworks such as Cypress, Playwright or equivalent. • Strong communication and collaboration skills across engineering, data science, and product functions. Preferred Qualifications: : • Experience testing Enterprise based SaaS application • Strong experience in writing SQL Queries • Ability to build/maintain test frameworks – build regression suites; smoke suites • Experience testing GenAI products, LLM-based systems, or agentic AI platforms. • Experience testing API and automation of APIs • Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). • Domain knowledge in sales, sales engagement, or CRM platforms (e.g., Salesforce, HubSpot, or similar) — understanding the workflows, terminology, and data that sales teams operate with. • Prior experience contributing to AI quality strategies in a product or research environment.