The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
The ad says“Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI”
The ad says“Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R”
The ad says“Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R”
The ad says“Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI”
The ad says“Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI”
The ad says“Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R”
The ad says“Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight”
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
Data, automation and AI are reshaping how work gets done. Alteryx One brings data, analytics and AI together in a governed, accessible platform, enabling organizations to turn trusted workflows and business logic into repeatable, agent-driven outcomes
The Senior Partner Sales Engineer is the technical and strategic lead for a focused portfolio of partners and partner-led opportunities
You will help global and regional systems integrators, solution providers, distributors and technology partners position, architect, prove, deliver and scale Alteryx One solutions
You will work across partner leadership, partner architects, Alteryx account teams, Product, Engineering and customer stakeholders to convert ecosystem potential into measurable customer outcomes
This role has a specific mandate across Public Sector and the U.S. South. sales segment
It combines partner practice development with hands-on presales execution, including public sector account planning, mission-oriented use cases, secure hybrid architectures, technical evaluations and production adoption
What you will do:
Own partner technical strategy and practice development | approx. 20%:
Build technical account plans for assigned partners, aligned to their GTM priorities, industry strengths, delivery capacity, target accounts and services economics
Establish trusted-advisor relationships with partner executives, practice leaders, solution architects and sales engineers
Segment partners by readiness and potential, then focus investment on those able to sell, build, support and scale repeatable customer outcomes
Align with Partner Alliance Managers and field leadership on joint priorities, coverage, account mapping and measurable success criteria
Architect differentiated Alteryx One solutions | approx. 25%:
Lead discovery and architecture workshops that connect business outcomes to AI-ready data, analytics, automation, governance and deployment requirements
Design secure cloud, hybrid and on-premises patterns across Alteryx One, modern data platforms and enterprise applications
Position governed business logic as the foundation for reliable agentic outcomes, with workflows that are visible, understandable, repeatable and auditable
Guide partners on Agent Studio, Alteryx MCP Server, AI Tool Palette, Ask Alteryx, Live Query, Workspace Execution and relevant Designer capabilities, distinguishing released functionality from preview or roadmap items
Develop joint architectures and integration patterns with Snowflake, Databricks, Google Cloud, AWS, Microsoft and other strategic technologies without displacing partner or platform-native services
Lead partner-led technical sales and proof execution | approx. 20%:
Support qualified partner-led opportunities from discovery through technical close, including demonstrations, whiteboarding, solution design, objection handling, security review and executive presentations
Structure POCs and Partner Acceleration Program engagements around a named sponsor, funded problem, baseline, acceptance criteria, partner capacity, production owner and repeatable 5-to-10-account thesis
Drive clear qualify, design, prove and produce gates. Stop or reset activity when customer demand, product fit, security, partner economics, delivery ownership or production criteria are not credible
Capture reusable evidence, including reference designs, demo assets, customer proof, lessons learned and delivery handoffs
Advance Public Sector outcomes | approx. 15%:
Partner with Public Sector AEs, alliance leaders and delivery partners to identify mission-critical workflows in cross-government operations, defense and intelligence, public health, finance and revenue, infrastructure, transportation, human services and public safety
Translate agency priorities into measurable outcomes such as improved service delivery, stronger forecasting, resource optimization, faster disaster response, better data quality and auditable decision processes
Address public sector requirements for secure data access, hybrid deployment, governance, lineage, regulatory compliance, accessibility and responsible AI in coordination with Alteryx specialists
Support partner-led account planning, capture activity and technical responses for relevant procurement motions. Never overstate certifications, authorizations, product availability or customer evidence
Enable partners to operate independently | approx. 10%:
Create role-based enablement for partner sellers, presales teams, architects and delivery consultants, combining messaging, discovery, demos, architecture and implementation readiness
Coach partner technical teams through hands-on builds, certification pathways, technical win plans and delivery quality reviews
Build scalable assets such as demo environments, solution blueprints, reusable workflows, industry playbooks, competitive guidance and facilitator kits
Measure enablement by observed capability and customer execution, not attendance or activity volume alone
Represent the partner and operate with discipline | approx. 10%:
Bring structured partner and customer feedback to Product and Engineering, influence priorities with evidence and close the loop with the ecosystem
Maintain current knowledge of Alteryx One, data and AI market trends, competitors, partner roadmaps, security practices and commercial dependencies
Track technical milestones, partner readiness, risks, outcomes and attribution in the relevant operating systems; provide concise MBR and QBR insight
Represent Alteryx at partner events, executive briefings, technical communities and customer forums
What success looks like:
Priority partners can independently qualify, position, demonstrate, architect and deliver Alteryx One solutions
Partner-sourced and partner-influenced opportunities advance through stronger discovery, technical validation and executive alignment
Proofs of concept and Partner Acceleration Program investments start with a named customer, measurable outcome, delivery capacity and path to production
Joint solutions become reusable offerings, reference architectures, demos and managed service patterns that partners can take to additional accounts
Public Sector customers receive architectures and value cases aligned to mission outcomes, security, governance, auditability and responsible AI
Technical outcomes are evidenced through milestones, technical win rate, POC-to-production conversion, active usage, partner readiness and contribution to pipeline, renewal and expansion
Preferred experience
Strong commercial judgment, prioritization and written communication; willing to challenge weak qualification and ungrounded roadmap assumptions
Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight
Demonstrated success building partner technical capability and supporting partner-sourced or partner-led enterprise opportunities through technical close
At least 3 years working directly with partner ecosystems, including GSIs, regional SIs, solution providers, distributors, ISVs or hyperscalers
7+ years of relevant experience in enterprise presales, solution engineering, solution architecture or technical consulting across data, analytics, automation, AI or adjacent enterprise software
Executive presence and the ability to translate technical complexity into business, partner and mission outcomes for CxO, architecture, security, data and line-of-business audiences
Experience with public cloud and modern data platforms such as AWS, Azure, Google Cloud, Snowflake or Databricks, plus hybrid and on-premises integration patterns
Hands-on ability to lead discovery, design architectures, build compelling demonstrations and define outcome-based POCs
Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R
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
Experience supporting U.S. Public Sector agencies and the partner ecosystem that serves them, including mission, procurement, security and delivery stakeholders
Alteryx experience or certification, with the ability to ramp rapidly across Alteryx One, Designer and cloud modules
Applied experience with GenAI or agentic architectures, including RAG, MCP-based tool use, prompt and context design, evaluation, guardrails and responsible AI
