Overview:

The Sales Engineer (SE), Strategic Partnerships will function as part of the SE Center of Excellence (CoE) team in partner-facing role requiring deep expertise in data science and analytics, and will be accountable for platform positioning, technical enablement, and thought leadership. The SE will work closely with Strategic and Technical Alliances and serve as the technical focal point for platform integration and partner solutions.

Responsibilities include, but are not limited to:

• Works hands-on with strategic partners to design and develop industry & technology solutions
• Assist partners to design and develop the approach and architecture for integration with the Alteryx platform
• Collaborates with Product Management, Engineering, and Customer Success to drive successful partner integrations.
• Produces thought leadership and forward-thinking content to the organization, i.e. White Papers, Knowledge base articles, blogs, presentations, and ability to speak at events
• Develops and delivers relevant training around strategic technical topics to the organization
• Leverages knowledge of current market trends and future growth areas to effectively position the Alteryx platform
• Drive Alteryx platform value, including but not limited to: designing solutions, architectural overviews, establishing an organizational culture of analytics, ensuring quality and consistency across the platform, and defining requirements and leading gap-analysis
• Strong technical capabilities and the ability to engage in strategic discussions with internal clients throughout the organization and third-party vendors
• Responsible for collaborating with senior leaders, technology and business subject matter experts and third-party vendors; and to assess feasibility, determine costs versus benefits, prioritize projects and develop and implement systems plans
• Develop deep knowledge of all Alteryx products and capabilities both technically and on messaging
• Demonstrate solutions in Alteryx leveraging data science and analytics with engaging storytelling and technical accuracy

Minimum Qualifications:

• 5+ years’ experience as a sales engineer, technical product manager, solutions consultant, solution architect, or similar customer facing technical role.
• 5+ years Business Intelligence, Analytics, or Enterprise Software experience
• Bachelor’s or advanced degree required; Computer Science or Information Systems preferred
• Programming and troubleshooting knowledge in (one or more) Javascript, Python, Java and C++ development, preferably leveraging open source and open standards; experience with API and/or SDK development strongly preferred
• Excellent organizational, leadership, decision making, project management, interpersonal and communication skills required
• Must be customer/partner focused and possess: (1) the ability to identify issues, analyze and interpret data, and develop innovative solutions to a variety of unusually complex problems using a high degree of independent judgment; (2) excellent analytical, verbal and written communication skills to accurately document, report, and present findings to a variety of audiences including executive and senior management, senior external parties and government agencies; (3) excellent interpersonal skills to influence and guide all levels of employees, including senior managers and senior external parties; (4) the ability to effectively and efficiently initiate, plan, budget and manage projects; and (5) knowledge of computer applications and operations pertinent to the field
• Must be able to work on a self-initiated basis and in a team environment
• Possess strong technical skills to manage and solve complex technical issues

Preferred Qualifications:

• Bachelor’s or advanced degree required; Computer Science or Information Systems preferred
• Understanding of Data Science and Machine Learning concepts
• Experience with ETL tools, database development and management, dimensional and relational modeling, Microsoft SQL Server, Hadoop, SQL Analysis/Reporting/Integration Services; Postgres, Tableau data visualization software.
• Experience with data warehousing and relational database architecture
• Able to work extended hours and travel as required
• Experience writing SDK specifications and user-facing technical documentation
• Knowledge of Microsoft Azure, AWS, and Google Cloud Stack.