EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com Job Description: We are seeking a high-impact Associate, Data, Analytics & AI to join our team. This isn’t a research role; it is a "builder" role focused on driving measurable growth. You will be responsible for architecting, deploying, and scaling AI solutions that directly impact our Go-to-Market (GTM) strategy—from optimizing the sales funnel to automating complex commercial workflows. You will leverage MLOps and Agentic Orchestration to move AI out of the sandbox and into production, creating autonomous tools that empower our sales, marketing, and customer success teams to win faster and smarter. What your impact will be: Revenue-Driven Predictive Modeling: Design and deploy models that solve high-stakes GTM challenges—such as lead scoring, churn prediction, and customer lifetime value (LTV) forecasting—to directly influence revenue retention and acquisition. GTM Agentic Automation: Build and orchestrate autonomous agents (using LangChain , n8n , or CrewAI ) to automate commercial reasoning, such as personalized outbound at scale, automated RFP processing, and competitive intelligence gathering. Scalable MLOps for Growth: Utilize Amazon SageMaker or Azure ML to ensure our GTM models are production-ready, monitored, and capable of scaling alongside our global sales operations without downtime. Business Outcome Translation: Partner with Sales and Marketing leadership to define KPIs and ensure every AI initiative has a clear path to ROI , whether through increased conversion rates or operational efficiency. Data Strategy for Commercial Success: Architect ETL processes that unify disparate commercial data (CRM, Marketing Automation, Product Usage) into a "source of truth" for high-performance AI applications. Innovation for Competitive Advantage: Constantly prototype and deploy the "next best action" for our sales teams, turning raw data into a strategic roadmap for market dominance.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
501-1,000 employees