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Teradata Aster works to help companies meet their big analytics and discovery needs5000+ Employees

Jobs at TeradataAster

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Senior Director Product Management, Product Led Growth

NewPosted 2 days ago

Senior Director Product Management, Product Led Growth

  • 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.
Product

Senior Staff Product Manager, Context Engine

NewPosted 3 days ago

Senior Staff Product Manager, Context Engine

  • 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.
Engineering

Principal Engineer, NLP

NewPosted 1 week ago

Principal Engineer, NLP

  • 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.
Engineering

Principal Engineer, Semantic Platforms and Graph Intelligence

NewPosted 1 week ago

Principal Engineer, Semantic Platforms and Graph Intelligence

  • 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.
Engineering

Principal Engineer, Domain Knowledge

NewPosted 1 week ago

Principal Engineer, Domain Knowledge

  • 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.
Engineering

Senior Manager, AI Engineering

NewPosted 1 week ago

Senior Manager, AI Engineering

  • 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.
Sales

New Logo Account Executive - Financial Services

NewPosted 2 weeks ago

New Logo Account Executive - Financial Services

  • 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.
Product

Senior Director Product Management, Agents and Tera

NewPosted 2 weeks ago

Senior Director Product Management, Agents and Tera

  • 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.
Sales

Customer Solution Architect

NewPosted 3 weeks ago

Customer Solution Architect

  • 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.
Engineering

AI Technologist

NewPosted 1 month ago

AI Technologist

  • 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.
Engineering

Senior Manager, Artificial Intelligence Engineering

NewPosted 1 month ago

Senior Manager, Artificial Intelligence Engineering

  • 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.
Sales

Senior Manager, Partner Development Executive – Global ISV Partnerships

NewPosted 1 month ago

Senior Manager, Partner Development Executive – Global ISV Partnerships

  • Bachelor’s degree (graduate degree a plus)
  • Proven success in cultivating and scaling ISV relationships within analytics, AI/ML, or data platform domains
Engineering

Principal Engineer

NewPosted 1 month ago

Principal Engineer

  • Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Teradata’s AI Platform.
  • This is a Senior Individual Contributor role focused on building and deploying intelligent agents—not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.
Engineering

Staff AI Engineer

NewPosted 1 month ago

Staff AI Engineer

  • We’re seeking a hands-on, deeply technical Principal Engineer to lead innovation in the Agentic AI space.
  • You bring proven experience in the design, development, and deployment of intelligent agents that can reason, plan, and act autonomously—and critically, you’ve done so securely and responsibly at scale.
Engineering

Staff Database Internals Engineer

NewPosted 2 months ago

Staff Database Internals Engineer

  • Build components across the engine spine: SQL front end (tokenizer, parser, binder), logical/physical plan layer, rule- and cost-based optimizer, and operators (joins, aggregates, sort, scan).
  • Build the storage substrate: Arrow in-memory format, slotted-page on-disk format with checksums, buffer pool, and a B-tree or LSM access method.
Engineering

Governance Technology Engineer

NewPosted 2 months ago

Governance Technology Engineer

  • Own the end-to-end technical architecture of Teradata's AI Governance Operating System — defining the standards and specifications for intake pipelines, tool evaluation workflows, and compliance monitoring automation that the broader team builds against
  • Lead the engineering of sophisticated agentic workflows (using n8n, Claude APIs, or similar) th...
Engineering

Cloud Engineer

NewPosted 2 months ago

Cloud Engineer

  • Manage and support mission-critical, 24x7 public cloud environments across Azure and GCP for multiple customers.
  • Execute risk assessments during task execution to ensure platform stability and minimize service impact.
Engineering

Database Internals Engineer

NewPosted 2 months ago

Database Internals Engineer

  • Build components across the engine spine: SQL front end (tokenizer, parser, binder), logical/physical plan layer, rule- and cost-based optimizer, and operators (joins, aggregates, sort, scan).
  • Build the storage substrate: Arrow in-memory format, slotted-page on-disk format with checksums, buffer pool, and a B-tree or LSM access method.
Product

Global AI Product Management Leader

NewPosted 2 months ago

Global AI Product Management Leader

  • Own and champion the product vision, strategy, and roadmap for Teradata’s AI platform portfolio, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, enterprise vector capabilities, and AI/ML lifecycle management
  • Define platform capabilities that enable customers to build, test, deploy, monitor, and govern ...
Engineering

Cloud Control Plane Engineer

NewPosted 3 months ago

Cloud Control Plane Engineer

  • Own and evolve how compute infrastructure is provisioned and operates across heterogeneous environments, including bare metal, VMs, containers, and cloud platforms
  • Define and tune system-level behavior across CPU, memory, storage, and network, including how workloads are scheduled and resources are utilized