Alteryx

Alteryx

Principal, Agentic Product Design Engineer

US - Remote · Principal · Contract

Sponsorship not specified$154k-$203kDetected 22 days ago
LLMsAgentic AIAI OrchestrationA/B TestingDesign SystemsProduct StrategyResearchCommunicationCollaborationMentoring

About the role

  • Sometimes it means prototyping entirely new interaction models powered by LLMs and AI agents.
  • Sometimes it means helping teams rethink the boundaries between product UX, developer experience, and organizational process.

Responsibilities

  • Partner with Product, Design, Engineering, and Marketing teams to identify and prioritize high-leverage opportunities where AI can improve workflows, customer experiences, and the delivery of product value
  • Influence roadmaps, investment decisions, and operating models that support AI adoption across teams
  • Build Shared AI Capabilities and Infrastructure
  • Create reusable infrastructure, frameworks, APIs, and tooling that enable teams to build AI-powered experiences consistently and efficiently
  • Develop internal platforms and workflows that augment product development with AI capabilities
  • Partner with design system engineers and designers to define patterns, standards, and interaction models for AI-powered experiences
  • Prototype and Validate Emerging Concepts
  • Build prototypes and proof-of-concepts that explore new interaction models, intelligent workflows, and agent-driven experiences
  • At Alteryx, we support a growth mindset for our associates through all stages of their careers.
  • As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we're invested in building teams with a wide variety of backgrounds, identities, and experiences.

Requirements

  • 8+ years of experience in software engineering, design engineering, design systems, creative technology, UX engineering, or related fields
  • Demonstrated ability to prototype quickly and think in systems
  • Strong understanding of interaction design, product thinking, and user experience principles
  • Ability to navigate ambiguity and operate effectively in 0-to-1 environments
  • Strong frontend engineering skills with modern web technologies and application architecture
  • Experience building AI-powered applications using LLM APIs and orchestration frameworks
  • Experience building developer platforms, internal tools, or workflow systems
  • Excellent communication and cross-functional collaboration skills
  • A systems-oriented mindset with strong product intuition

Skills

  • Experience with agent frameworks, retrieval systems, MCP servers, or multi-agent orchestration
  • Experience integrating AI into product development workflows
  • Familiarity with design systems and component architecture
  • Experience with evaluation pipelines, prompt engineering, or AI observability tooling
  • Experience leading organizational transformation initiatives

Compensation

  • An annual $200 home office reimbursement
  • Alteryx is committed to fair, equitable, and transparent compensation.
  • Final compensation is determined by several factors, including but not limited to relevant work experience, education, certifications, skills, and geographic location.
  • The salary range for this role in the United States is $154,200 - $203,110.
  • In addition to base pay and bonus eligibility, this role includes clear forms of additional compensation, such as:

Benefits

  • Alteryx has amazing benefits for all Associates which can be viewed here.
  • Medical, dental, and vision coverage
  • Paid parental leave, caregiver leave, and flexible time off
  • Mental health support and wellness reimbursement
  • Career development and education assistance
  • Bonus payouts are based on individual and company performance.
  • Alteryx offers a comprehensive benefits package designed to support your health, financial security, and overall well-being, including:
  • A monthly Connectivity Plus stipend of $150 to support remote work-related expenses

This listing is sourced directly from Alteryx's careers page and normalized into a canonical job model.