Our Company
At Teradata, we believe that people thrive when empowered with better information.That’swhy 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—andour 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’ll Do
As a Manager,AI Engineering, you will lead Teradata’s highly visible, nextgenerationAI products. In this role, you will:
- Be highly hands-on and drivethedesign, architecture, development, evolution,deliveryand adoptionofone or more AI products.
- Lead and develop high performing engineeringteamsincludingStaffandSeniorEngineers.
- Shape the product vision, technology roadmap, and engineering strategy for AI products.
- Be deeply involved in technical decision making,providingguidance acrosscoding,architecture, modelling, system design, and operational excellence.
- Collaborate with cross-functional partners across Product, Cloud, Architecture, and Customer teams to deliver high impact,end-to-endcapabilities.
- Champion best practices across the software development lifecycle, including code quality, documentation, testing, CI/CD, observability, and production excellence.
- Establish data-driven processes and feedback loops to continuously improve product quality, performance, and engineering efficiency.
- Build and sustain a culture of ownership, innovation, high accountability, and technical excellence across your teams.
- Stay current with emerging technologies, AI/ML advancements, and industry best practices to ensure long-term product and organizational success.
Who You’ll Work With
You will work closely with engineering teams, product leaders, AI/ML experts, cloud architects, and customer facing teams across Teradata. This role reports toasenior technology leader and plays a critical part in defining Teradata’s future inAI drivenenterprise solutions.
What Makes You a Qualified Candidate
(Nonnegotiable qualifications)
- Bachelor’s degree in Computer Scienceor equivalent from a recognized institution.
- 11+ years of experience in largescale product development, distributed systems, or AI/ML,managingteams andseniorengineering talent.
- Strongproblem solvingskills,familiarity withAI/ML technologies, including LLMs and agentic AI systems.
- Expertiseinmicroservices development, RESTful APIs, cloud technologies,SDLC, CI/CD,observabilityand production operations.
- Experience buildinghigh qualityproducts infast-pacedtechnology environments.
What You’ll Bring
(Preferred qualifications)
- Proficiencywith data stores (SQL/NoSQL), data modelling, and messaging systems such as Kafka.
- Hands-on experience with Kubernetes, containerization, and modern deployment practices.
- Familiaritywith AI productivity tools such asClaude orGitHub Copilot, andUI technologies.
- Strong ability to navigate ambiguity, collaborate with diverse stakeholders, and drive alignment across teams.
- Demonstrated ability to mentor senior engineers, foster healthy team dynamics, and build scalable engineering organizations.
- Excellent communication and interpersonal skills, with the ability to articulate complex concepts to varied audiences.
- A growth mindset and ability to thrive in dynamic,fast evolvingenvironments while continuously raising the bar.
Why We Think You’ll Love Teradata
We prioritize apeoplefirst culturebecause our people are at the heart of our success. We embrace flexible work because we trust our teams to decide how and where they work best. We invest in wellbeing to help employees thrive personally and professionally. We are committed to being anantiracist and inclusive company, fosteringan equitableenvironment where everyone is seen, valued, and celebrated.
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