Manager, Software Engineering
Teradata · Posted Oct 28
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's Autonomous Knowledge Platform unifies data, knowledge and business context so organizations can give AI agents full context, deployed on premises, in the cloud, or hybrid. The Knowledge Platform engineering organization builds agentic AI capabilities, knowledge graphs, and cloud-native platform services. This role leads multiple engineering teams across platform engineering, AI/ML, and distributed systems to turn AI concepts into production-grade platform features.
What you will do
- As the Manager of Engineering for Teradata's Knowledge Platform, you will lead engineering teams responsible for building and delivering core agentic AI-powered platform capabilities.
- You will drive execution of the technical roadmap, ensure engineering excellence, and partner closely with Product Management, Architecture, and cross-functional stakeholders to deliver scalable, secure, and reliable AI-driven solutions.
- You will play a key role in transforming innovative AI concepts into production-ready platform capabilities while building and mentoring high-performing engineering teams that support Teradata's next generation of autonomous and knowledge-driven products.
- Lead, mentor, and develop multiple engineering teams spanning platform engineering, AI/ML, and distributed systems.
- Build and scale high-performing teams; attract, retain, and grow top technical talent in agentic AI, developer platforms, and cloud infrastructure.
- Establish a culture of innovation, accountability, and continuous improvement.
- Drive organizational clarity, resource planning, and cross-functional alignment across engineering, product, and platform teams.
- Coach engineering managers, technical leads, and senior engineers to maximize team effectiveness.
- Lead execution of the architecture strategy for Teradata's autonomous, knowledge, and agentic AI platform capabilities.
- Oversee delivery of production-grade agentic AI functionality across the Knowledge & Data Platform.
- Guide teams build core frameworks and services that embed agentic AI into Teradata's product portfolio.
- Partner with knowledge modeling teams to industrialize proof-of-concepts into highly reliable, scalable, and secure enterprise features.
- Drive technical evaluation and adoption of technologies related to knowledge graphs, LLM orchestration, AI agents, and AI-native developer experiences.
- Proven knowledge and experience with the entire AI (Machine Learning, Deep Learning, Reinforcement Learning, LLM, etc.)
- Good statistical knowledge
- Champion engineering excellence in reliability, observability, automation, and platform scalability.
- Work closely with Security Engineering to ensure AI-driven capabilities meet enterprise-grade compliance and governance requirements.
- Partner with Product Management to translate customer needs into differentiated AI and analytics platform capabilities.
- Collaborate with Architecture, R&D, SRE, and Cloud Operations teams to improve reliability, performance, and developer productivity.
- Communicate technical strategy, execution progress, and risks to senior leadership stakeholders.
Skills used in this role
What the employer is looking for
- 8+ years in software engineering with at least 5+ years leading engineering teams and managers.
- Proven track record delivering complex distributed systems, cloud-native platforms, or large-scale data platforms.
- Demonstrated experience integrating AI/ML, generative AI, or agentic AI technologies into enterprise-grade products.
- Expertise in hybrid and multi-cloud architectures across AWS, Azure, and/or GCP.
- Experience modernizing applications into microservices and Kubernetes-based deployment environments.
- Strong understanding of APIs, streaming systems, observability, DevOps practices, and production-grade AI inference pipelines.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Ability to lead managers and senior technical contributors while fostering a high-performance culture.
- Strong systems-thinking mindset coupled with a pragmatic, execution-focused approach to solving technical challenges.
- Deep understanding of platform reliability, scalability, performance, and AI platform governance.
- Excellent communication skills with the ability to influence senior leadership and cross-functional stakeholders.
- Passion for building AI-native enterprise platforms and driving innovation at scale.
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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