VP Product Engineering - India Products Leader
Teradata
Date: 2 weeks ago
City: Hyderabad, Telangana
Contract type: Full time
VP Product Engineering – India Products leader
Our company:
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. 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. 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 Will Do:
As the Vice President of Engineering, you will lead Teradata’s India-based software development organization for our AI Platform Group (Analytics, AI, Apps, Agents and UX) through its next phase of transformation. You will own the execution of our product roadmap across key technologies including Vector Store, Agent platform, Apps, user experience, and the enablement of AI/ML-driven use-cases at scale. Success in this role means building a world-class engineering culture, attracting and retaining top technical talent, accelerating hybrid cloud-first product delivery, and fostering innovation that drives measurable value for our customers.
You will work at the pace of a startup and build as well as lead a team of 150+ engineers focused on the key objective of helping customers achieve outcomes with Data and AI. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership.
Who You Will Work With:
You will lead a high-impact regional team of up to 500 people, comprised of software development, cloud engineering, DevOps, engineering operations, and architecture teams. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership. This position will work closely with the various other regional and global leaders.
What Makes You a Qualified Candidate:
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.
Our company:
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. 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. 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 Will Do:
As the Vice President of Engineering, you will lead Teradata’s India-based software development organization for our AI Platform Group (Analytics, AI, Apps, Agents and UX) through its next phase of transformation. You will own the execution of our product roadmap across key technologies including Vector Store, Agent platform, Apps, user experience, and the enablement of AI/ML-driven use-cases at scale. Success in this role means building a world-class engineering culture, attracting and retaining top technical talent, accelerating hybrid cloud-first product delivery, and fostering innovation that drives measurable value for our customers.
You will work at the pace of a startup and build as well as lead a team of 150+ engineers focused on the key objective of helping customers achieve outcomes with Data and AI. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership.
Who You Will Work With:
You will lead a high-impact regional team of up to 500 people, comprised of software development, cloud engineering, DevOps, engineering operations, and architecture teams. You will partner closely with Product Management, Product Operations, Security, Customer Success, and Executive Leadership. This position will work closely with the various other regional and global leaders.
What Makes You a Qualified Candidate:
- 10+ years of proven senior leadership in product development, engineering, or technology leadership within enterprise software product companies.
- 3+ years in a VP Product or equivalent role managing large-scale, distributed technical teams in a growth market.
- Proven experience leading the development of agentic AI and driving AI at scale in a hybrid cloud environment.
- Demonstrated success in leading teams through transformation with measurable impacts.
- Demonstrated success implementing and scaling Agile and DevSecOps methodologies.
- Progressive leadership experience building and leading large technical teams managing multiple high visibility priorities.
- FAANG experience would be beneficial
- Understanding of cloud platforms, data harmonization, and data analytics for AI.
- Deep understanding of cloud platforms, Kubernetes, containerization, and microservices-based architectures.
- Experience delivering SaaS-based data and analytics platforms, ideally involving hybrid and multi-cloud deployments.
- Knowledge of modern data stack technologies such as Apache Spark, Kafka, Presto/Trino, Delta Lake, or Iceberg.
- Familiarity with AI/ML infrastructure, model lifecycle management, and integration with data platforms.
- Strong background in enterprise security, data governance, performance engineering, and API-first design.
- Experience modernizing legacy architectures into modern, service-based systems using CI/CD and automation.
- Passion for open-source collaboration and building extensible, developer-friendly ecosystems.
- Track record of building high-performing engineering cultures and inclusive leadership teams.
- Ability to inspire, influence, and collaborate with internal and external stakeholders at the highest levels.
- FAANG experience
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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