Responsibilities
Own competitive intelligence gathering and analysis for Databricks (primary) and Google BigQuery and IBM watsonx, delivering actionable insights that drive business decisions
Conduct comprehensive research using both internal sources (sales teams, product teams) and external sources (social media, competitor websites, industry analysts, conferences)
Apply GenAI tooling — including Claude, Copilot, Gemini, and Crayon — to accelerate research workflows, expand coverage capacity, and maintain consistent analytical output across the coverage portfolio
Develop and maintain structured prompt libraries for repeatable CI research and content development workflows
Monitor competitor activity and market signals using agentic AI monitoring tools, with disciplined source verification and factual accuracy as a non-negotiable standard for all work product
Create and maintain competitive battlecards, deep dives, and sales enablement materials that directly impact competitive win rates
Collaborate with marketing to develop differentiated positioning and messaging
Provide real-time competitive sales support for high-stakes GTM opportunities
Develop and deliver competitive training and enablement programs for global sales teams
Maintain and evolve the competitive intelligence knowledge base
Present competitive insights and recommendations to executive leadership
Who You’ll Work With
You will partner with product management to influence roadmap decisions based on competitive analysis, with particular depth in agentic AI architectures and vector datastore competitive dynamics.
What Makes You a Qualified Candidate
Bachelor's degree in a related field (Business, Marketing, Technology, or similar)
5+ years of experience in competitive intelligence, market research, product marketing, or industry analysis
Understanding of the modern data and AI landscape — analytical platforms, machine learning infrastructure, and agentic AI architectures
Knowledge of vector datastores and open table formats (Iceberg, Delta, Hudi) as competitive subject matter
Hands-on familiarity with GenAI tooling as a research and productivity methodology — including large language models, prompt engineering, and agentic monitoring platforms such as Crayon
Experience with the enterprise software sales cycle and competitive deal dynamics
Proven track record of enabling sales teams in competitive situations
Knowledge of the cloud ecosystem including public cloud, hybrid, and on-premises environments
Travel may be required up to 15% of the time.
What You’ll Bring
Strong analytical mindset with the ability to transform complex data into actionable insights — and the discipline to verify AI-generated research before it enters the work product
Excellent communication skills, both written and verbal, with proven presentation abilities to executive audiences
Strategic thinking and prioritization capabilities across a multi-vendor coverage portfolio
Project management expertise to handle multiple concurrent initiatives
Research proficiency using both qualitative and quantitative methodologies, including AI-augmented research techniques
Working knowledge of GenAI tooling — including large language models, prompt engineering, and agentic monitoring platforms — as applied research and productivity tools
Ability to build strong relationships across organizational functions
Understanding of data architectures, particularly cloud-native analytics platforms, agentic AI architectures, and vector datastores
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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