Sr. Partner Sales Engineer

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.

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.

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.

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.

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.

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.

7+ years of relevant experience in enterprise presales, solution engineering, solution architecture or technical consulting across data, analytics, automation, AI or adjacent enterprise software.

At least 3 years working directly with partner ecosystems, including GSIs, regional SIs, solution providers, distributors, ISVs or hyperscalers.

Demonstrated success building partner technical capability and supporting partner-sourced or partner-led enterprise opportunities through technical close.

Hands-on ability to lead discovery, design architectures, build compelling demonstrations and define outcome-based POCs.

Working knowledge of data preparation, analytics, workflow automation, governance, AI/ML and agentic AI concepts, including APIs, OAuth, MCP, LLM integration and human oversight.

Experience with public cloud and modern data platforms such as AWS, Azure, Google Cloud, Snowflake or Databricks, plus hybrid and on-premises integration patterns.

Practical proficiency with SQL and at least one relevant analytics or programming environment such as Alteryx, Python or R.

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.

Strong commercial judgment, prioritization and written communication; willing to challenge weak qualification and ungrounded roadmap assumptions.

Ability to travel up to 40%, based on territory and business needs.

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.

Experience creating partner practices, packaged offerings, reference architectures, marketplace propositions or managed services.

Cloud, data platform, architecture, security or AI certifications relevant to the territory and partner portfolio.

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science or a related discipline, or equivalent practical experience.

Goals will be set by territory and partner portfolio. The role will be assessed on verified outcomes, not raw activity counts.

Commercial contribution

Partner-sourced and influenced pipeline progression; technical win rate; renewal and expansion influence; marketplace or consumption impact where applicable.

Partner capability

Partners independently qualifying, demoing, architecting and delivering; readiness progression; quality of partner technical plans.

Proof to production

POC-to-production conversion; time to agreed technical decision; adoption owner and support handoff; active usage and customer evidence.

Reusable scale

Validated solutions, accelerators, reference architectures and 5-to-10-account activation plans adopted by partner teams.

Execution quality

HLD and technical close plan quality; risk and milestone hygiene; accurate product positioning; Product and Engineering feedback closure.

At Alteryx, you will help partners and customers move from fragmented data work and AI experimentation to governed, production-scale outcomes. You will work at the intersection of business teams, IT, data platforms and AI ecosystems, turning trusted analytic workflows into systems that drive consistent decisions and action.

We value problem solvers, innovators and high performers who challenge the status quo, keep their commitments and help the whole team succeed. Candidates who meet many, but not every, requirement are encouraged to apply. Alteryx is committed to building an inclusive workplace with a wide range of backgrounds, identities and experiences.

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 .