Alteryx Logo

Alteryx

Forward Deployed Engineer

Posted 23 Days Ago
Remote
Hiring Remotely in US
150K-300K Annually
Senior level
Remote
Hiring Remotely in US
150K-300K Annually
Senior level
Embedded, senior technical engineer who designs and builds AI-ready, cloud-native data architectures using Alteryx One and major cloud data platforms. Convert analytics workflows into production solution patterns, deliver pilots-to-production quickly, enable partner-led delivery, and create documentation and playbooks for scalable deployments.
The summary above was generated by AI

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.

Job Description

About the Role

The Forward Deployed Engineer (FDE) is a senior, hands-on technical role embedded with Alteryx’s most strategic enterprise customers and partners. Your mission is to make Alteryx One a core part of modern data and AI architectures by turning existing analytics workflows into AI-ready, cloud-native solution patterns that scale through partners.

This is not a traditional professional services or slideware architect role. As an FDE, you will design, build, and validate real production systems, then package what works into repeatable patterns that partners can sell and deliver independently.

What You’ll Do

  • Design and build AI-ready data architectures using Alteryx One, anchored to cloud data platforms such as Snowflake, BigQuery, Databricks, and AWS

  • Convert existing analytics workflows into deployable solution patterns that can be reused across customers

  • Deliver lighthouse customer deployments that move from pilot to production in ~90 days

  • Partner closely with systems integrators and consulting partners to enable partner-led delivery

  • Work alongside Sales Engineers and Product teams to validate solutions in production and provide structured product feedback

  • Create documentation, reference architectures, and playbooks so solutions can scale without ongoing FDE involvement

What You’ll Own

  • Technical leadership from architecture → pilot → production → partner handoff

  • Architecture decisions for cloud data platform and analytics modernization

  • Creation of repeatable patterns that drive faster time-to-value, expansion, and consumption

  • Clear exit criteria for every engagement—success is partner-led delivery, not long-term dependency

What Success Looks Like

Success in this role is measured by what reaches production, what scales, and what continues without your direct involvement.

  • Ship production systems

    • Move enterprise customers from existing analytics workflows to AI-ready, cloud-native architectures built on Alteryx One

    • Take solutions from pilot to production in ~90 days

  • Create scalable solution patterns

    • Design architectures, workflows, and deployment models that are reused across customers

    • Establish repeatable patterns that become reference implementations

  • Enable partner-led delivery

    • Hand off solutions to systems integrators and consulting partners with clear ownership and exit criteria

    • Ensure partners can sell, implement, and extend solutions independently

  • Drive faster customer outcomes

    • Reduce time-to-production for analytics and AI initiatives

    • Deliver measurable impact, including cost reduction, faster insights, and improved operational efficiency

  • Shape the product with real-world evidence

    • Provide clear, structured feedback based on live deployments

    • Influence roadmap and product direction by validating solutions in production

What You Bring

Experience

  • 7+ years building data, analytics, or platform systems in production

  • Hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift, or AWS)

  • Experience working directly with enterprise customers in a technical, field-facing role

Technical Skills

  • Strong background in analytics workflows, data pipelines, or analytics engineering

  • Comfortable writing production workflows and lightweight code (primarily Python and SQL; APIs as needed)

  • Solid understanding of cloud architecture, governance, and cost tradeoffs

Ways of Working

  • Builder mindset—you prefer shipping real systems over creating slides

  • Comfortable operating in ambiguity and giving candid technical guidance

  • Motivated by scale, reuse, and partner leverage rather than one-off wins

Why Alteryx

At Alteryx, you’ll work on real customer problems at the intersection of data platforms, analytics, and AI—while shaping how our product shows up in enterprise architectures around the world. You’ll have direct impact on customers, partners, and product direction, all while building solutions that scale.

The Forward Deployed Engineer role is for builders, not advisors. If you want to own production outcomes and help define how enterprises operationalize analytics and AI, we’d love to hear from you.

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 base salary range for this role in the United States is $202,500-$225,000 with On-Target-Earnings range of $270,000-$300,000.

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

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.

Similar Jobs

11 Days Ago
In-Office or Remote
100K-180K Annually
Mid level
100K-180K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Customer-facing technical engineer supporting sales and onboarding for Runpod's AI cloud. Troubleshoot escalated issues, build POCs, collaborate with engineering and product, create documentation, and train customers to ensure smooth deployment and operation of AI workloads.
Top Skills: Ai/MlDjangoDnsDockerFlaskGoGpuHTTPHttpsJavaScriptLinuxLlmMongoDBMySQLNode.jsPostgresPythonPyTorchReactRunpodSshTcp/IpUbuntu
7 Hours Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
Mid level
Mid level
Artificial Intelligence • Machine Learning
Embed with life sciences customers to build and deploy production-grade AI/MLOps solutions on the Domino platform. Deliver end-to-end ML workflows, cloud and Kubernetes integrations, GPU workloads, monitoring, and reusable playbooks. Advise technical and business stakeholders, translate field feedback to product teams, and own customer engagements from onboarding through strategic scale.
Top Skills: Agent FrameworksAksAWSAzureBashDockerDominoEksGCPGenerative AiGkeGpuKubernetesMlopsPythonRSQL
Yesterday
Remote or Hybrid
US
167K-264K Annually
Expert/Leader
167K-264K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Embed with strategic enterprise customers to architect and implement complex cloud and web infrastructure migrations. Provide technical leadership on application and network security using Cloudflare Workers and Terraform, act as liaison to product and engineering teams, drive AI/LLM-enabled solutions, and remain a long-term trusted advisor for SASE and network security initiatives.
Top Skills: Cloudflare WorkersSaseSlackTerraformWorkers AiZero Trust

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account