Senior Front-End Software Engineer

### Who you are
- 4+ years building production web applications with TypeScript / JavaScript, including 2+ years with React and modern frontend patterns
- Solid understanding of HTML, CSS, browser behavior, accessibility, and building polished user experiences across environments
- Demonstrated ability to own features or medium-sized projects end-to-end, from design and implementation through testing, rollout, and iteration
- Experience integrating frontend systems with backend APIs and service-oriented architectures
- Solid understanding of writing high-performing, maintainable, and testable code
- Strong experience with automated testing across unit, integration, and end-to-end layers
- Working knowledge of CI/CD practices and modern development workflows using tools such as GitLab or GitHub
- Ability to collaborate effectively with product, design, data science, and engineering partners in ambiguous problem spaces
- Experience building AI-assisted, LLM-powered, or agentic product experiences
- Experience with Python backend services or APIs is especially valuable, since much of the supporting AI and service-side work is implemented in Python
- Experience with C# / .NET is a plus, particularly for Alteryx Designer integration
- Experience with conversational UI patterns, workflow-native AI tools, or telemetry / event instrumentation
- Experience with micro-frontend architectures, extensibility platforms, or MCP-style integration models
- Experience working across service-oriented or message-based architectures
- Familiarity with observability, performance tuning, and Kubernetes-based environments
- Experience with data-rich product workflows, workflow builders, or analytics applications
- You’re passionate about building great software and want to have a direct impact on how customers experience AI across Alteryx products
- You work independently, communicate clearly, and know how to make progress in ambiguous spaces without over-engineering the solution. You care about customer value, move comfortably between implementation detail and product context, and help the team get better through collaboration, mentorship, and a strong engineering mindset

### What the job involves
- We’re looking for a Senior Software Engineer to help build and scale AI-powered frontend experiences across Alteryx. This role spans shared conversational and agentic surfaces such as Copilot, workflow-native AI experiences such as GenAI Tools in Designer, and emerging extensibility experiences built around MCP and AI-ready product APIs
- You’ll work across Designer Desktop, Alteryx One, and adjacent product surfaces to deliver interfaces that help users discover, configure, and use AI capabilities securely and effectively
- You’ll partner closely with engineers, product managers, designers, and data scientists to deliver high-value user experiences, strengthen our frontend architecture, and help shape how AI shows up consistently across the Alteryx portfolio
- This includes work on embedded AI surfaces, reusable frontend patterns, and the user experiences that connect Alteryx products to shared AI services and extensible agent ecosystems
- This role is a strong fit for an engineer who can independently deliver medium-sized projects end-to-end, contribute to technical design, and raise the quality bar through code reviews, testing, and mentorship. You’ll help turn ambiguous product opportunities into reliable customer-facing capabilities while balancing speed, craft, and long-term maintainability
- Owning and delivering high-value frontend features across Copilot, GenAI Tools, and other AI experiences embedded in Alteryx products
- Collaborating with cross-functional partners to explore problem spaces, clarify requirements, shape implementation plans, and ship customer-facing improvements
- Building and evolving reusable UI patterns for conversational experiences, workflow-native AI tooling, tool actions, context-aware workflows, and product integration flows
- Partnering with backend, platform, and domain teams on AI-ready APIs, telemetry, and MCP-oriented integration points that make AI experiences more capable and extensible
- Contributing to software design, code reviews, testing strategy, telemetry, and engineering practices that improve reliability and developer velocity
- Mentoring engineers through thoughtful feedback, pairing, and day-to-day technical collaboration
- Helping the team respond quickly to new AI opportunities while making sound tradeoffs around performance, quality, and maintainability