Engineering Manager
Teradata · Posted Oct 8
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata builds a cloud analytics and data platform for AI, delivering harmonized data, trusted AI, and faster innovation to enterprises across major industries. As a Manager, AI Engineering, this role leads Teradata’s next generation AI products, driving design, architecture, development, and adoption while leading teams of Staff and Senior Engineers. The position works closely with Product, Cloud, Architecture, AI/ML experts, and customer-facing teams to deliver end-to-end AI capabilities.
What you will do
- As a Manager, AI Engineering, you will lead Teradata’s highly visible, next generation AI products.
- Be highly hands-on and drive the design, architecture, development, evolution, delivery and adoption of one or more AI products.
- Lead and develop high performing engineering teams including Staff and Senior Engineers.
- Shape the product vision, technology roadmap, and engineering strategy for AI products.
- Be deeply involved in technical decision making, providing guidance across coding, 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-end capabilities.
- 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.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science or equivalent from a recognized institution.
- 11+ years of experience in large scale product development, distributed systems, or AI/ML, managing teams and senior engineering talent.
- Strong problem solving skills, familiarity with AI/ML technologies, including LLMs and agentic AI systems.
- Expertise in microservices development, RESTful APIs, cloud technologies, SDLC, CI/CD, observability and production operations.
- Experience building high quality products in fast-paced technology environments.
Preferred qualifications
- Solid product experience and an educational background from Tier‑1 universities are preferred.
- Proficiency with data stores (SQL/NoSQL), data modelling, and messaging systems such as Kafka.
- Hands-on experience with Kubernetes, containerization, and modern deployment practices.
- Familiarity with AI productivity tools such as Claude or GitHub Copilot, and UI 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 evolving environments while continuously raising the bar.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
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