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About This Role
Meet the Moment with Alteryx
We're living through a once\-in\-a\-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision \- and Alteryx is leading the transformation.
You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.
If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.
Alteryx is searching for a Sr. Software Engineer (Front\-End) . This position is remote\-friendly.
Position Overview:
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.
Primary Responsibilities:
- 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.
Requirements:
- 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.
Valued Skills:
- 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.
About You:
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.
Compensation:
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 $118,700 \- $153,900\.
Bonus payouts are based on individual and company performance.
In addition to base pay and bonus eligibility, this role includes clear forms of additional compensation, such as:
- A monthly Connectivity Plus stipend of $150 to support remote work\-related expenses
- An annual $200 home office reimbursement
Alteryx offers a comprehensive benefits package designed to support your health, financial security, and overall well\-being, including:
- Medical, dental, and vision coverage
- 401(k) with company match
- Paid parental leave, caregiver leave, and flexible time off
- Mental health support and wellness reimbursement
- Career development and education assistance
*Interested? Learn more and apply today at alteryx.com/careers!*
\#LI\-EM1
\#LI\-REMOTE
Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. 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 .
Benefits \& Perks:
Alteryx has amazing benefits for all Associates which can be viewed here .
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records.
This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
Salary Context
This $118K-$153K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $189K across 518 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 26,159 AI roles we're tracking, AI Software Engineer positions make up 2% of the market. At Alteryx, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $235,100 based on 665 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($136K) sits 42% below the category median. Disclosed range: $118K to $153K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Alteryx AI Hiring
Alteryx has 5 open AI roles right now. They're hiring across AI/ML Engineer, AI Software Engineer, Data Scientist. Positions span CA, US, Remote, US. Compensation range: $153K - $240K.
Remote Work Context
Remote AI roles pay a median of $156,000 across 1,221 positions. About 7% of all AI roles offer remote work.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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