Alteryx

Sales Engineer

• Lead technical engagements with strategic customers, providing pre-sales support for pre-qualified opportunities and aligning Alteryx solutions with their AI, automation, and cloud analytics strategies.
• Design and deliver impactful demos and proof-of-concepts (POCs) showcasing the feasibility and value of Alteryx solutions in the customer’s environment, including addressing technical objections and demonstrating how Alteryx provides competitive advantages in cloud, hybrid, and on-prem environments.
• Stay ahead of industry trends, including advancements in AI, cloud-native architectures, data governance/security best practices, and how Alteryx integrates with modern cloud data warehouses and AI/ML workflows.
• Advise on best practices for AI-driven data automation, cloud cost optimization, and scalable analytics workflows, helping customers accelerate digital transformation.
• Work with management to drive sales and to mentor junior team members to improve their abilities, skills and knowledge of the Alteryx platform, sales engineering strategies, and client-facing skills.

Lead Sales Engineer

Data Scientist

• Own the end-to-end product marketing strategy for Live Query and Alteryx’s core data connectivity capabilities
• Develop persona-specific narratives for IT architects, data engineers, and CDAO organizations
• Partner with Product Management to shape the data connectivity roadmap narrative
• Build launch plans, enablement materials, and customer content for new connectivity capabilities
• Market Intelligence & Positioning: Maintain understanding of the cloud data platform and data integration competitive landscape

Senior Product Marketing Manager, CDP, Data Connectivity

Full-stack Engineer

• Hit the ground running by developing high-value features using the right tools and technologies.
• Work closely within a cross-functional team (engineers, designers, and data scientists) to explore problem spaces, design scalable solutions, and deliver high-quality outcomes.
• Contribute to system design and help shape the technical direction for upcoming features and products.
• Advocate for clean, maintainable, and high-performing code, while driving engineering excellence across the team.
• Share your knowledge and elevate team capabilities while continuously learning from peers and new technologies.

Senior Software Engineer

Account Executive

• Named Account Prospecting – Prospect for new business across multiple functional areas within a highly-targeted account list, selected on high-potential
• Building Relationships – Gain a deep understanding of the customer’s processes and problems. Ensure the right questions are being asked and answered. Bring unique value to every interaction. Develop relationships with multiple buying personas within the prospect account
• Articulating Value – Connect prospect’s business objectives (both functional and corporate) with Alteryx solutions. Deploy a customer-centric approach in understanding how Alteryx can do so
• Effective Account Coordination – Use a disciplined approach to effectively and efficiently involve pre-sales and post-sales support. Leverage industry expertise as needed
• Driving Sales Strategy – Develop a deep understanding of the customer strategies, priorities, needs and organizational structure. Develop tailored account plans to ensure revenue target delivery and balanced growth.
• Conducting Pipeline Planning - ability to manage & grow perpetual pipeline. You will collaborate with support organizations including marketing, alliance partners and channels​
• Demonstrating Alteryx & Analytic Proficiency – Be proficient in the Alteryx platform and product portfolio. Ability to effectively articulate the Alteryx value proposition.
• Building Trust - Establish positive relationships based on knowledge of customer requirements and dedication to value (value of counsel and expertise, value of solutions, value of implementation expertise)​

Enterprise Account Executive

Director

• Lead the global Total Rewards function, providing strategic leadership across Compensation and Benefits.
• Develop and evolve an integrated Total Rewards strategy aligned to business priorities and Alteryx's Employee Value Proposition.
• Partner with Talent Experience & Development leaders to ensure Total Rewards strategies reinforce the employee lifecycle by connecting performance, recognition, career growth, rewards, and retention into a cohesive employee experience.
• Build trusted partnerships across People & Culture, Finance, Legal, Payroll, and AI & Transformation to align Total Rewards with enterprise priorities.
• Provide strategic leadership for the Benefits function while ensuring operational excellence and an exceptional employee experience during a period of organizational evolution.
• Ensure benefit programs remain competitive, compliant, and aligned to the needs of a global workforce.
• Lead annual compensation planning, market benchmarking, salary structures, incentive programs, and pay philosophy.
• Build, lead, and develop a high-performing Total Rewards team by creating clarity, fostering collaboration, coaching leaders, and building future capabilities.

Director, Global Total Rewards

DevOps Engineer

• Define and execute the strategy for Alteryx’s centralized Infrastructure, Site Reliability Engineering (SRE), Observability, and Performance Engineering organizations.
• Lead the design, operation, and continuous evolution of cloud infrastructure across AWS and GCP, ensuring scalability, reliability, security, and cost efficiency.
• Drive Infrastructure-as-Code adoption and governance through Terraform, establishing consistent platform standards, automation, and operational best practices.
• Own the company’s observability strategy by building and operating enterprise-grade telemetry platforms using Datadog and related technologies, enabling actionable insights into system health, performance, and customer experience.
• Partner with Security, Compliance, and Engineering teams to meet regulatory and customer requirements, including HIPAA, FedRAMP, SOC 2, and other compliance frameworks.
• Establish and continuously improve incident management practices, including operational readiness, on-call excellence, postmortem culture, root cause analysis, and measurable reliability improvements.
• Develop proactive reliability programs including capacity planning, resiliency testing, disaster recovery, performance benchmarking, and operational risk management.
• Define reliability engineering frameworks that enable product teams to own service health through Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, performance objectives, and operational accountability.
• Lead the evolution of centralized platform capabilities that simplify how engineering teams build, deploy, monitor, and operate services at scale.
• Partner with engineering leadership to improve developer productivity through platform automation, self-service infrastructure, deployment tooling, and operational best practices.
• Build, mentor, and develop high-performing engineering managers and technical leaders while fostering a culture of operational excellence, customer focus, accountability, continuous learning, and innovation.

Director, Infrastructure & Site Reliability Engineering

Account Manager

• Manage large Enterprise accounts from onboarding through the full customer lifecycle
• Lead Quarterly Business Reviews to align business objectives, enablement plans, and measurable value realization
• Develop a deep understanding of customers’ business priorities and align Alteryx solutions to support their goals
• Articulate business value and ROI to executive stakeholders, including C-suite leadership
• Build and expand executive level relationships across customer organizations to strengthen long-term strategic partnerships
• Own and drive renewal opportunities, including value justification discussions, navigating procurement processes, and negotiating high-value contracts to ensure timely renewals
• Accurately forecast projected revenue attainment to sales leadership on a weekly basis
• Demonstrate strong product and use case knowledge across the Alteryx platform to provide strategic recommendations
• Drive product adoption and increased usage through education, new feature introduction, use case development, and account reviews
• Collaborate and partner effectively with GTM, Channel and Alliance Partners, Customer Success, Fulfillment, and Support to ensure seamless customer experience, operational alignment, coordinated account growth strategies, and long-term growth
• Contribute thought leadership and best practices to the broader Customer Success and GTM organization

Senior Relationship Manager

Financial Planning and Analysis

• Act as the dedicated Finance Business Partner for the global field sales organization, providing strategic support and analytical insights.
• Review and refine the top-line bookings forecast in collaboration with the SVP of Sales, Americas and the SVP of International Sales.
• Lead the alignment with revenue operations and corporate FP&A on quarterly forecasts specifically for new and expansion business segments.
• Lead headcount planning initiatives and define/analyze productivity metrics for the field sales organization to optimize resource allocation.
• Partner with Revenue Operations to ensure workforce planning supports top-line forecasting models.
• Act as a trusted advisor to sales leadership, using narratives and analytical insights to shape strategic decisions and optimize business outcomes.

Senior Financial Analyst, GTM

Sales

• Serve as the primary Business Technology leader for Sales and Partner organizations.
• Partner with Sales, Revenue Operations, and Partner stakeholders to develop technology roadmaps aligned to business priorities.
• Provide technology guidance, solution options, effort estimates, and delivery tradeoffs to support business decision making.
• Own the delivery roadmap and execution for Sales technology platforms including Salesforce CRM, CPQ, Service Cloud, Partner Portal, and related integrations.
• Lead prioritization, release planning, capacity management, and delivery across the Sales Systems portfolio.
• Ensure platform scalability, security, performance, and operational excellence while reducing technical debt.
• Lead a cross-functional team of Product Managers, Business Systems Analysts, Developers, Administrators, and QA resources.
• Develop team capability, establish clear ownership, and foster a high-performing, customer-focused culture.
• Ensure solutions align with enterprise architecture, security, integration, and data governance standards.
• Drive platform reliability through effective incident, problem, and change management.

Senior Manager – Business Technology, Sales & Partners

• Own the Americas Professional Services business, including operational performance, financial results, customer outcomes, organizational health, and execution excellence
• Manage the regional Professional Services P&L, including utilization, margins, bookings, forecasting, resource planning, and key operational metrics
• Build scalable operating rhythms that improve execution, visibility, and organizational health
• Continuously improve delivery processes, governance, resource management, and capacity planning
• Establish clear goals, performance expectations, and accountability across the organization
• Drive predictable delivery execution while balancing customer success, employee engagement, operational efficiency, and business performance
• Lead, coach, and develop Professional Services Managers, Solution Architects, Delivery Consultants, and technical delivery professionals
• Recruit, retain, and develop exceptional talent while building leadership capability and succession across the organization
• Ensure successful implementation, adoption, and value realization for enterprise customers
• Serve as an executive sponsor and escalation point for strategic customer engagements
• Collaborate closely with Sales, Customer Success, Product, Support, Finance, and Operations to improve customer outcomes and business performance

Director – Americas Professional Services

Engineering Manager

• Directly manages a team or related small (2-5) engineering teams
• Owns hiring, onboarding, performance management, compensation, promotion, and growth plans for individual contributors
• Structures roles within teams to optimize for productivity, career development, and delivery against team priorities
• Fosters a healthy, productive, inclusive, and psychologically safe team environment
• Coaches engineers on execution, collaboration, and technical decision-making
• Owns delivery, quality, and predictability for the team's commitments
• Translates product and engineering strategy into actionable execution plans and priorities
• Manages team capacity, execution risks, and day-to-day tradeoffs
• Ensures strong operational hygiene across planning, estimation, retrospectives, tech debt management, and quality practices
• Contributes input into product and technical discussions
• Builds trust with product and cross-functional partners through reliable execution
• Represents the team's needs, risks, and insights upward
• Provides tactical technical guidance and oversight
• Reviews designs and implementation approaches to ensure quality, maintainability, and alignment with standards
• Partners closely with senior individual contributors on technical decisions and tradeoffs
• Ensures the team follows sound engineering practices and addresses technical debt

Product Marketing

• Lead a team of onshore and offshore colleagues that are the business owners of the applications and technology used by the GTM organization.
• Drive the transformation, rationalization, and integration of the existing GTM technology landscape with an AI-first mentality to enable acceleration of the Alteryx GTM strategy.
• Partner closely with GTM management to deeply understand existing system and process challenges to execution of the Alteryx GTM strategy.
• Act as a trusted advisor to GTM leadership to advise on the best opportunities for the use of AI and translate AI capabilities into business value.
• Define and evolve standardized end-to-end GTM processes that serve as the basis to streamline execution through automation, integrations between systems, and the use of AI.
• Identify, prioritize, and re-engineer slow, inefficient, and/or people-intensive GTM processes using an AI-first mentality to increase productivity and reduce elapsed time.
• Design new solutions, define enhancements to current systems, and/or select off-the-shelf applications to automate and accelerate GTM processes.
• Incorporate AI to increase ROI by improving GTM productivity, accelerating GTM time-to-value, and/or optimizing GTM engagements.
• Define integrations between existing GTM systems and applications that streamline and simplify the execution of optimized GTM processes and ensure data consistency across systems.
• Incorporate the use of AI agent where appropriate.
• Collaborate with IT or other development teams to develop, deploy, and maintain these new solutions, enhancements, applications, and integrations to facilitate existing & re-engineered GTM processes, automate manual work, and streamline execution.
• Lead and direct your team (without other IT or development teams) in identifying, prioritizing, harvesting, deploying at scale, and maintaining LLMs, agents, and other AI solutions developed by individual GTM colleagues that can increase the performance and/or productivity of large groups of GTM colleagues.
• Partner with GTM Enablement and GTM Communications to ensure the successful rollout and adoption of new GTM solutions, enhancements, and AI capabilities.
• Serve as the subject matter expert to provide and edit content for communications, training, and ongoing reference as needed.
• Provide leadership and guidance to the overall GTM organization in the use of artificial intelligence such as tips for AI prompts, high-value GTM use cases for using Gemini, etc.
• Collaborate with peers in other Alteryx departments (Marketing, Products, etc.) to ensure alignment in the development and evolution of AI solutions, share AI knowledge and tips, and tackle cross-departmental challenges that should be addressed with AI.

Senior Director, GTM AI Operations

Technical Program Manager

• Own end-to-end delivery of complex, cross-functional platform initiatives, ensuring alignment with company goals, architectural direction, and committed milestones.
• Partner with Engineering, Product, Architecture, Security, SRE, and Infrastructure teams to define: Program scope, Execution plans, Dependencies, Risks, Launch readiness criteria
• Drive programs across strategic platform areas, including: Workspace, Execution Platform runtime and orchestration, Private and shared data planes, Cloud and hybrid execution capabilities, Service-to-service trust, Enterprise administration, Cloud adoption
• Lead planning activities, including: Scrum of Scrums, Demos, Retrospectives, Dependency reviews, Risk forums
• Build and maintain program artifacts such as: Roadmaps, Executive dashboards, RAID logs, Dependency maps, Status reports, Executive communications, Documentation in Jira, Confluence, and related tools
• Translate technical discovery and architectural decisions into executable plans spanning design, development, testing, rollout, and adoption measurement.
• Monitor delivery and operational success through metrics including: Milestone attainment, Release readiness, Service health, Quality signals, Customer adoption outcomes
• Support engineering trust initiatives that improve: Reliability, Security, Compliance, Performance, Cost visibility, Engineering productivity
• Champion delivery best practices and mentor other Technical Program Managers to scale execution excellence across Alteryx.

Senior Technical Program Manager

Mechanical Engineer

• Define the Future of AI-Enabled Product Development
• Partner with Product, Design, Engineering, and Marketing teams to identify and prioritize high-leverage opportunities where AI can improve workflows, customer experiences, and the delivery of product value
• Help shape the organization's strategy for AI-assisted workflows, intelligent tooling, and AI-powered user experiences
• Influence roadmaps, investment decisions, and operating models that support AI adoption across teams
• Build Shared AI Capabilities and Infrastructure
• Create reusable infrastructure, frameworks, APIs, and tooling that enable teams to build AI-powered experiences consistently and efficiently
• Develop internal platforms and workflows that augment product development with AI capabilities
• Establish scalable foundations that help teams move from experimentation to adoption
• Evolve Experience Systems for the AI Era
• Partner with design system engineers and designers to define patterns, standards, and interaction models for AI-powered experiences
• Ensure AI experiences remain coherent, accessible, trustworthy, and usable across products
• Explore how agents, copilots, and adaptive interfaces can become reusable capabilities across the product ecosystem
• Prototype and Validate Emerging Concepts
• Build prototypes and proof-of-concepts that explore new interaction models, intelligent workflows, and agent-driven experiences
• Evaluate emerging technologies and approaches, including LLMs, agent frameworks, retrieval systems, orchestration tools, and evaluation methods
• Use experimentation to inform long-term platform and product strategy
• Translate successful prototypes into production-ready capabilities, partnering with teams to deliver real improvements to products, workflows, and user experiences
• Identify and implement high-impact enhancements across design system tooling, AI-enabled workflows, and product experiences, balancing long-term platform investments with immediate user and developer needs
• Enable Teams and Drive Adoption
• Mentor engineers and designers working at the intersection of UX, systems thinking, and AI
• Establish best practices for responsible AI development, governance, and human-in-the-loop systems
• Help teams adopt new tools, workflows, and capabilities through coaching, collaboration, and shared standards

Principal – Agentic Product Design Engineer

Artificial Intelligence

• Design governance frameworks that enable organizations to scale analytics, automation, and AI while maintaining trust, accountability, compliance, and business agility.
• Define governance operating models, roles, responsibilities, decision rights, and accountability structures across business, analytics, data, and technology teams.
• Establish governance processes that balance centralized oversight with business-user self-service and innovation.
• Advise customers on governance strategies that accelerate adoption, increase asset reuse, improve trust in analytics, and reduce operational risk.
• Help customers establish and evolve Centers of Excellence (CoEs), governance councils, stewardship models, and champion networks that drive sustainable adoption and business value.
• Advise customers on Responsible AI practices, including transparency, explainability, model oversight, risk management, human-in-the-loop processes, and AI policy development.
• Develop governance approaches for generative AI, machine learning, AI-powered applications, and agentic workflows that align with organizational objectives and regulatory requirements.
• Facilitate discussions around AI readiness, AI operating models, AI risk management, and organizational capabilities required to scale AI successfully.
• Design frameworks for AI inventory management, usage monitoring, performance measurement, business impact tracking, and governance effectiveness.
• Enable business teams to safely leverage analytics, automation, and AI through scalable guardrails, standards, governance policies, and best practices.
• Lead governance transformation initiatives that improve both user empowerment and organizational control.
• Assess organizational maturity and develop practical roadmaps for governance evolution, AI enablement, and self-service adoption.
• Provide strategic recommendations that help customers accelerate adoption while managing operational, compliance, and organizational risks.
• Present governance findings, maturity assessments, and recommendations to customer leadership teams and key stakeholders.