We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.
Alteryx is searching for a Principal Customer Specialist, Platform & AI/ML. This position is remote-friendly.
Why work for just any analytics company? At Alteryx, Inc., we are explorers, dreamers and innovators. We’re on a journey to build the best analytics platform in the world, but we can’t do it without people like you, leading the way. Forget the stereotypical tech companies of the past. Embrace the unconventional, exercise your imagination and help alter the future with Alteryx.
Primary Responsibilities:
Strategic Architectural Leadership: Strategically architect complex, modern-stack AI-enabled analytics solutions, providing the technical thought leadership required to align global enterprise needs with C-suite business objectives.
Enterprise Visionary: Act as the lead technical champion for Alteryx One global initiatives, utilizing advanced creativity and ingenuity to design resilient, AI-integrated enterprise frameworks.
AI Lifecycle Orchestration: Lead the design and integration of end-to-end AI/ML lifecycles, specializing in the orchestration of Large Language Models (LLMs) within high-scale data pipelines and complex MCP server environments.
Autonomous Agent Design: Spearhead cross-functional initiatives to design and implement autonomous agentic workflows that solve unstructured data challenges across multi-cloud ecosystems.
Governance & Data Integrity: Govern the implementation of sophisticated ETL, Data Quality, and Alteryx strategies to ensure the delivery of high-fidelity, model-ready data for enterprise AI applications.
Technical Mentorship & Policy: Serve as a mentor to senior and junior Sales Engineering staff, formalizing technical best practices and influencing product and GTM organizational policies regarding modern enterprise technologies.
Required Experience:
Minimum of 10 years of professional functional experience, including at least 5 years of specific expertise in AI/ML solutions architecture and enterprise cloud strategy.
Advanced LLM & Generative AI Expertise: Proven track record in the design and deployment of LLM-based applications, including but not limited to custom Retrieval-Augmented Generation (RAG) solutions and architectures and model fine-tuning within enterprise frameworks like Gemini Enterprise or SageMaker ML.
Programming & API Proficiency: Expert-level skills in Python or Java are required for custom AI development, alongside a mastery of API services and orchestration tools.
Expert-level architectural proficiency and professional certifications with one of the "Big Three" cloud ecosystems and working knowledge of the others: Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
AI Data Warehouse Specialization: Deep technical expertise in architecting AI solutions that leverage Cloud Data Warehouses (CDW) and lakehouses, with a specific requirement for proficiency in BigQuery ML, Databricks, or Snowflake integrations.
Enterprise Security Authority: Strong command of modern enterprise security frameworks and regulatory requirements for ensuring all AI-driven analytics solutions meet rigorous global data governance and compliance standards.
Experience with AI/ML frameworks and LLM-based applications in enterprise environments (eg; Gemini Enterprise, Sagemaker ML, Databricks, Anthropic, OpenAI).
Expertise with MCP server integration and orchestration tools.
Formal Education: Four-year college degree in Computer Science, Data Science, or a related technical field, or equivalent high-level industry experience.
Valued Experience:
Advanced working knowledge of API services and integrations.
Expert skills in ETL (Extract, Transform, Load), Data Quality, and Alteryx.
Alteryx Solution ACE Certification Preferred or “black belt” in data preparation.
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 $125,070 - $163,450 (On Target Earnings range is $180,100 - $233,500).
In addition to base pay and commission 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!
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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.
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