Qualifications
Responsibilities
Benefits
About the Team
The Pipedream team enables AI agents to connect to the software and services people use every day — including Notion, GSuite, Slack, Zoom, GitHub, Jira, and thousands more. Our platform is used by software developers at leading technology companies like Workday, Perplexity, Meta, and Relevance AI who are building AI agents and workflow products.About the Role
As a Sr. Quality Assurance Engineer on the Pipedream team, you will serve as a player/coach who is hands-on with the most complex problems while also elevating the capabilities of the team around you. This is a customer-facing role: you will work directly with software developers and partner teams using Pipedream in production, helping them debug issues, improve reliability, and shape how the platform evolves based on real-world feedback.
This is not a people management role — you will be the person the team looks to when escalations come in, when a partner issue requires careful navigation, or when someone needs a thought partner on a difficult challenge.
You will work closely with both internal teams at Workday and external customers who are building products on top of Pipedream. In this role, you will be responsible for:
Supporting software developers across the full range of issues, from troubleshooting technical errors (including authentication failures, malformed requests, and rate limits) to billing, feature requests, and general account questions
Owning the most complex integration issues and sensitive partner escalations, reviewing how teammates approach difficult problems, pairing on debugging, and helping the team grow into more confident operators
Identifying technical and usability issues with connectors and collaborating with product and engineering to prioritize and resolve them
Driving continuous improvement of support and quality processes, including playbooks, internal tooling, documentation, and automations to help the team scale
About You
Basic Qualifications:
7+ years of related work experience in QA, solutions or support engineering, forward deployed engineering, or a closely related function working with technically sophisticated software developers
Strong hands-on technical skills, with the ability to develop in JavaScript or Python and reason about production code
Proficiency working with APIs, troubleshooting API request failures, and using API documentation
Excellent customer service and communication skills, with the ability to credibly engage both software developers and non-technical users in a customer-facing capacity
Working knowledge of AI concepts including LLMs, agents, tool calling, evals, and MCP
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Other Qualifications:
Passion for AI products, with hands-on experience using AI coding tools (e.g., Claude Code, Codex, Cursor) and building AI agents or agentic workflows
Experience supporting platforms with large, complex surface areas and managing competing priorities in a customer-facing environment
Experience mentoring or leading other team members
Strong analytical thinking, with the ability to break down complex technical problems into their fundamental parts, identify patterns across support issues, and use logical reasoning to drive root cause analysis and inform process improvements
A detail-oriented mindset, with the ability to spot errors or inconsistencies that others may overlook, manage complex information across multiple issues and accounts, and maintain a high level of accuracy and consistency in your work
Strong collaboration and interpersonal skills, with the ability to work effectively across product, engineering, and support teams, leverage diverse perspectives to solve problems, and foster a culture of mutual respect and shared learning
A genuine passion for learning and intellectual curiosity — you enjoy picking up new technologies and diving into unfamiliar problem spaces
Comfortable working asynchronously across multiple time zones on a geographically distributed team
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .
Primary Location: USA.CA.San FranciscoPrimary Location Base Pay Range: $145,600 USD - $218,400 USD
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
About Workday
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