Data Science and ML Competitive Intelligence Architect

Employment Type

: Full-Time


: Miscellaneous

As a Data Science and ML Competitive Intelligence Architect, you will dive deep into the capabilities and go-to-market strategies of leading Data Science and ML solutions and provide analysis on their strengths and weaknesses vs Databricks. You will partner with field engineering, sales & customer success, technical enablement, and product marketing to accelerate the adoption of Databricks for Data Science and ML workloads. You will partner with product management to incorporate field competitive intelligence into the product roadmap. You will report to the Field Engineering Competitive Leader. The impact you will have: * Leverage conferences, public information, and customer engagements to identify current & emerging competitive threats at a technical level * Synthesize technical information to build a 'so what' value proposition and identify novel methods for approaching competitive situations * Work with GTM teams to create technical competitive sales strategies, product demonstrations, collateral, and tools to improve sales effectiveness. * Provide direct support to sales, field engineering, and customer success team to help close competitive opportunities * Develop training and competitive collateral for audiences of varying technical backgrounds * Support product marketing with messaging, competitive threats, and product launch strategies derived from your competitive analysis What we look for: * The ability to clearly express technical concepts, including presenting and whiteboarding, with customers, team leaders, and senior executives across our organization * 3+ years experience selling, architecting, or implementing cloud-native Data Science and ML solutions * 1+ years experience in a formal or informal competitive role * B.S. in Computer Science or equivalent experience in software or a technologically relevant field * Open to travel up to 25% per month * While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

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