Senior Quality Assurance Engineer, Workday
Customer Facing
$145.6-218.4k
More information about location
Enterprise AI platform for managing HR, finance & IT
Open for applications
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Open for applications
$145.6-218.4k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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)
- 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
What the job involves
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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