Jobs at TeradataAster

• Set the direction for agentic development across design, implementation, testing, code review, debugging, and operations, and lead by example with hands-on agentic work in your own deliverables.
• Build and run agent-driven engineering workflows that take work from specification to production-ready code, and design the context, tooling, and pipelines that make agents effective in a large, complex codebase.

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes.

• Member of a fast-paced agile development team responsible for Core Provisioning Services.
• Work closely with software engineering mentors to deliver one or more features within the scope of Cloud Services.

• Design and build enterprise-wide data catalog and metadata platforms that continuously discover, inventory, classify, and organize data assets.
• Create systems that automatically scan and ingest metadata from databases, data lakes, warehouses, streaming platforms, APIs, BI tools, AI platforms, and SaaS applications.

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features.

• Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology.
• Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.

• Partner with Legal and People team stakeholders to document current workflows, pain points, controls, data inputs, handoffs, and desired outcomes.
• Research and prototype AI-enabled and automation solutions for approved use cases, such as knowledge discovery, document intake, workflow routing, reporting, employee support, and operational analytics.

• Partner with Legal and People team stakeholders to document current workflows, pain points, controls, data inputs, handoffs, and desired outcomes.
• Research and prototype AI-enabled and automation solutions for approved use cases, such as knowledge discovery, document intake, workflow routing, reporting, employee support, and operational analytics.

• Partner with Legal and People team stakeholders to document current workflows, pain points, controls, data inputs, handoffs, and desired outcomes.
• Research and prototype AI-enabled and automation solutions for approved use cases, such as knowledge discovery, document intake, workflow routing, reporting, employee support, and operational analytics.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Business, Design, Data Science, or a related field, or equivalent practical experience.
• 12+ years of product management experience, including significant leadership of product-led growth, AI, platform, or enterprise software products.

• Own the end-to-end Context Engine roadmap, translating customer needs and business priorities into clear product requirements, prioritization decisions, and success criteria.
• Drive the product lifecycle from discovery and prioritization through launch, adoption, and continuous improvement, with explicit accountability for customer value delivered.

• Define and execute the strategic roadmap for NLP and language understanding capabilities across our Knowledge Platform.
• Serve as the technical authority for large-scale NLP architecture, algorithms, and production deployment.

• Define and execute the long-term vision for enterprise knowledge graph architecture and graph-enabled AI systems.
• Lead the design of highly scalable graph platforms supporting billions of nodes and edges across multiple data domains.

• Design and build enterprise-wide data catalog and metadata platforms that continuously discover, inventory, classify, and organize data assets.
• Create systems that automatically scan and ingest metadata from databases, data lakes, warehouses, streaming platforms, APIs, BI tools, AI platforms, and SaaS applications.

• Lead the engineering and data science roadmap for the AI Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs, data science pipelines.
• Partner with product, data science, research, and engineering teams to define requirements for capabilities such as predictive modeling, memory, planning, multi-agent collaboration, and tool orchestration.

• Responsible for selling Teradata solutions into a group of target accounts, in the financial services space, while meeting/exceeding sales targets.
• Managing complex deal cycles while maintaining accurate forecasting and deal status updating in CRM.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD preferred).
• 10+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.

• Establish and maintain trusted relationships across customer organizations from technical leads to executive sponsors.
• Act as a prescriptive advisor, enabling early-warning systems and remediation plans to maintain or improve account health.

• Lead discovery sessions with Healthcare, Life Sciences, and Public Sector clients to understand business objectives, AI/ML use cases, and technical environments.
• Translate complex AI/ML concepts into clear business outcomes for non-technical audiences.

• Lead the engineering and data science roadmap for the AI Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs, data science pipelines.
• Partner with product, data science, research, and engineering teams to define requirements for capabilities such as predictive modeling, memory, planning, multi-agent collaboration, and tool orchestration.