Staff AI Product Manager

Teradata Group; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Teradata is seeking a Staff Product Manager to lead AI product vision, strategy, planning, and execution across Teradata's AI platforms. You will shape how AI/ML capabilities are integrated into enterprise-scale data and analytics workloads.

You will collaborate with customers, engineering, data science, UX, governance, and cloud teams to deliver scalable, cost-efficient AI solutions while ensuring governance and security.

Qualifications

• 8+ years of experience in software product development including 4+ years in product management working with AI/ML or analytics products.
• Strong knowledge of AI/ML concepts including LLMs, supervised/unsupervised learning, fine-tuning and inference pipelines.
• Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
• Familiarity with AI tooling and best practices 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 applying them to AI/ML solutions.
• Excellent communication skills and ability to collaborate with stakeholders and articulate AI product plans.

Responsibilities

• Define and influence how Teradata integrates AI/ML technologies into enterprise-scale platforms.
• Lead product vision, strategy, planning, roadmap, execution and adoption for Teradata's AI products.
• 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 meet business objectives.
• Set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and cost-efficiency.

Skills

AI product management

Enterprise software

AI/ML concepts

Stakeholder collaboration

Roadmap planning

APIs & integrations

Cloud & hybrid environments

Governance & compliance

User experience KPIs

Mentoring product managers

Education

Bachelor's in Engineering

MBA

Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. That is 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.

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