Staff AI Product Manager

Teradata

Hyderabad

On-site

INR 4,000,000 - 7,000,000

Full time

2 days ago
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Job summary

Teradata is seeking a Staff Product Manager to drive AI product vision, strategy, planning, roadmap, execution, and adoption across enterprise platforms.

You will define how Teradata integrates AI/ML into cloud and on-premises solutions, with a focus on AI-driven insights, automation, and scalable workloads. Collaboration with engineering, data science, and governance teams is essential.

Qualifications

  • Bachelor’s in Engineering from a recognized institution.
  • 8+ years in software product development; 4+ years in AI/ML or analytics product management.
  • Knowledge of AI/ML concepts: agents, LLMs, supervised/unsupervised learning, fine-tuning, inference.
  • Experience embedding AI into enterprise platforms, esp. data management, analytics or cloud.
  • Familiarity with AI tooling, training, inference, GPUs, integration and orchestration.

Skills

AI/ML concepts
Enterprise software
Cloud & hybrid platforms
Stakeholder collaboration
Product KPIs & prioritization

Education

Bachelor’s in Engineering
MBA (nice to have)

Tools

APIs & SDKs
GPU accelerators
AI tooling

Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we are building the most complete AI and Knowledge Platform. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions and actions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

In this role, you will serve as a Staff Product Manager for Teradata’s AI products driving product vision, strategy, planning, roadmap, execution and adoption. You will define and influence how Teradata integrates AI/ML technologies into our enterprise-scale platforms.

Your impact will be shaping how customers harness Teradata Cloud and data warehouse capabilities through AI-driven insights, automation, and intelligent applications. You will set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and compliance.

Success in this role will be measured by delivering enterprise-grade AI solutions optimized for hybrid and multi-cloud deployments, unlocking measurable customer value while ensuring scalability, reliability, and cost-efficiency of AI workloads.

Who You Will Work With

You will collaborate with customers, engineering, cloud infrastructure, data science, UX, governance and other functions to bring next-generation AI capabilities into Teradata’s enterprise ecosystem and would be responsible for ensuring our products meet business objectives.

What Makes You a Qualified Candidate
  • Bachelor’s in Engineering from a recognized institution. MBA is a plus.
  • 8+ years of experience in software product development companies, including 4+ years in product management working with AI/ML or analytics products.
  • Good knowledge of AI/ML concepts, including Agents, LLMs, supervised/unsupervised learning, fine-tuning and inference pipelines.
  • Proven success in embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
  • Familiarity with AI tooling and best practices such as for training, inferencing, GPUs, integration and orchestration.
  • Experience with APIs, SDKs, and integrations for enterprise adoption.
  • Knowledge of hybrid and public cloud platforms and their impact on AI performance, scalability, and cost optimization.
  • Understanding of governance and compliance frameworks (HIPAA, GDPR, SOC2) and experience applying them to AI/ML solutions.
  • Excellent communication skills with the ability to collaborate with various stakeholders and articulate AI product plans.
  • Strong track record of customer engagement, market analysis, and competitive benchmarking in enterprise software.
  • Good expertise with user experience, product KPIs and prioritization.
  • Experience with AI productivity tools.
  • Ability to work independently and deliver high quality outcomes.
  • Ability to mentor product managers and guide them through design, planning, and execution.
  • A proactive mindset, comfortable working in fast paced, dynamic environments.
  • Adaptability and passion for building impactful AI-driven products.
What You Will Bring
  • Expertise in building AI products across cloud and hybrid environments, ensuring cost-efficiency and performance at scale.
  • Exposure to AI model and agent development with structured and unstructured enterprise data at scale.
  • Familiarity with GPU and emerging accelerator technologies for training, inference, and fine-tuning AI models.
  • A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection.
  • Vision to anticipate industry trends and position Teradata’s AI offerings as differentiated and enterprise-ready.
  • Passion for enabling intuitive, AI-powered user experiences (e. g. , natural language query, automated insights, intelligent automation).
  • Ability to operate as a lead guiding product direction and influencing others.
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 an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

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