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Teradata

Teradata

www.teradata.com

3 Jobs

10,236 Employees

About the Company

At Teradata, we believe that people thrive when empowered with better information. Our best-in-class cloud analytics and data platform delivers the harmonized data and trusted AI/ML organizations need for confident decision-making, faster innovation, and impactful business results.  See how at Teradata.com. 

Listed Jobs

Company background Company brand
Company Name
Teradata
Job Title
Senior AI Industry Specialist (International)
Job Description
Job Title: Senior AI Industry Specialist (International) Role Summary: Lead and execute AI and advanced analytics solutions for key financial services accounts across the UK, Ireland, and Western Europe. Act as a deep-domain advisor, translating strategy into account-specific plans, owning expansion and pipeline development, and driving executive-level engagements to secure long-term analytics partnerships. Expactations: Achieve targeted account expansion and sales volume; maintain a disciplined pipeline; align client priorities with ClearScape Analytics capabilities; influence deal strategy; secure executive sponsorship; deliver measurable outcomes; provide subject‑matter expertise to sales and product teams. Key Responsibilities: - Own and grow named accounts, driving expansion and meeting international sales targets. - Develop and execute account plans in partnership with Account Executives and regional leaders. - Identify, qualify, and lead opportunity development, advancing deals through structured sales motions (e.g., MEDDPICC). - Conduct executive‑level conversations to secure sponsorship and position Teradata as a long‑term analytics partner. - Maintain rigorous pipeline and opportunity management, ensuring accurate stage progression. - Lead discovery and scoping sessions to surface business challenges and articulate ClearScape value. - Collaborate cross‑functionally with industry strategists, data science, solution engineering, product management, and partner sales to align solutions and capture market insights. - Provide thought leadership, share industry trends, and contribute to go‑to‑market strategies. - Stay current on AI strategy, product roadmap, and competitive landscape; effectively position Teradata’s POV in customer discussions. Required Skills: - Proven sales and account management experience in enterprise AI/analytics. - Deep knowledge of financial services industry and analytics maturity. - Strong commercial acumen with ability to influence executive stakeholders. - Expertise in opportunity qualification frameworks (e.g., MEDDPICC). - Excellent communication and presentation skills; ability to translate technical concepts for business audiences. - Collaborative mindset, comfortable working with cross‑functional teams (pre‑sales, product, industry). - Self‑starter with a track record of meeting or exceeding sales targets. Required Education & Certifications: - Bachelor’s degree (or higher) in Computer Science, Data Science, Engineering, Finance, or related field. - Minimum 5–7 years of experience in AI/analytics sales or consulting within financial services. - Relevant certifications (e.g., Certified AI/ML Professional, Salesforce CPQ, or equivalent) preferred but not mandatory.
France
Remote
Senior
09-01-2026
Company background Company brand
Company Name
Teradata
Job Title
Senior Director/Director Product Management: Hardware AI & Data Platforms & Partnerships - US
Job Description
**Job Title** Senior Director/Director Product Management: Hardware AI & Data Platforms & Partnerships **Role Summary** Lead the joint product strategy, execution, and co‑innovation between Teradata and Dell for on‑premises and hybrid hardware‑based AI and data warehouse platforms. Define roadmap, reference architectures, and validated designs to ensure optimal performance, scalability, reliability, and cost efficiency on Dell infrastructure. **Expectations** - Deliver a coordinated product strategy aligning Teradata’s AI and data warehouse capabilities with Dell’s compute, storage, networking, and AI‑optimized hardware portfolio. - Define hardware‑optimized reference architectures and turnkey deployment models for CPU/GPU‑accelerated analytics and AI workloads. - Enable consistent deployment, upgrade, and operating experiences across on‑prem, private cloud, and edge environments. - Partner with Dell and Teradata cross‑functional teams to ensure predictable performance, security, compliance, and cost efficiency. - Provide solution positioning, demos, and executive‑level technical narratives to field teams and customers. - Apply AI expertise to identify opportunities for hardware‑accelerated AI, model inference, and analytics‑AI convergence. **Key Responsibilities** - Own product vision and roadmap for Teradata on Dell platforms (PowerEdge, PowerScale, PowerFlex, PowerStore, PowerVault, Dell Validated Designs, Dell AI Factory, APEX). - Develop validated, hardware‑aware designs covering sizing, performance tuning, resiliency, and lifecycle management. - Collaborate with Dell engineering and solution teams to translate hardware constraints into product requirements. - Work with Teradata AI engineering and governance teams to meet standards for responsibility, security, transparency, and trust. - Support Teradata and Dell sales, service, and field teams with solution positioning and technical enablement. - Influence cross‑functional teams across engineering, alliances, sales, and customer success to achieve product goals. **Required Skills** - 12+ years product management experience in enterprise technology, on‑prem infrastructure platforms, data warehousing, analytics, or AI systems. - Proven success leading hardware‑aware platform products, hybrid cloud solutions, or large‑scale on‑prem enterprise platforms. - Deep knowledge of enterprise data warehouse architecture, performance optimization, workload management, and scalability on physical infrastructure. - Strong understanding of Dell infrastructure (PowerEdge, PowerScale, PowerFlex, PowerStore, PowerVault, GPU systems, APEX, Dell AI Factory). - Experience delivering joint OEM solutions, validated designs, or co‑engineered hardware/software offerings. - Ability to translate hardware constraints (CPU/GPU, memory, storage tiers, networking) into clear product requirements and roadmaps. - Excellent stakeholder management, communication, and cross‑functional influence skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field preferred (equivalent experience acceptable).
San diego, United states
On site
Senior
16-01-2026
Company background Company brand
Company Name
Teradata
Job Title
AI Fullstack Software Engineer-Intern
Job Description
Job title: AI Fullstack Software Engineer-Intern Role Summary: Designs and deploys AI agents integrated into enterprise systems, leveraging AI research to drive data-driven decisions. Collaborates with AI researchers and engineers on projects involving autonomous systems, large language models (LLMs), and scalable AI infrastructure. Expactations: - 3+ years of experience in software architecture, backend systems, or AI infrastructure. - Passion for AI/LLM research in reasoning, planning, and autonomous systems. - Commitment to developing reliable, observable, and production-ready AI solutions. Key Responsibilities: - Design, develop, and deploy agentic systems integrated into data platforms. - Build intuitive UIs with natural language interfaces (chatbots, AI assistants). - Implement real-time monitoring and system diagnostics for AI/ML models. - Integrate AI observability tools (logging, tracing, metrics) with AI workflows. - Contribute to reliable, deterministic AI system development. Required Skills: - Proficiency in Python/Java/Golang and backend API development. - Experience with ML/DL frameworks (TensorFlow, PyTorch) and LLM agent tools (LangChain, AutoGPT). - System design skills; understanding of distributed systems and backend service development. - Strong UI/UX proficiency (React.js, Vue.js, Bootstrap). - Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and AI observability practices. Required Education & Certifications: - Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. - Preferred: Open-source contributions or AI research experience.
San diego, United states
Hybrid
Fresher
17-01-2026