Senior Manager, Software Engineering
Teradata · Posted Oct 16
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's Internal Engineering Organization comprises multiple global scrum teams working toward a common goal of testing and releasing the Teradata Vantage Platform and AI products across on-premises and cloud platforms (AWS, Azure, GCP) with quality and performance guidelines. This role leads the Database Performance Testing and Characterization organization, owning performance benchmarking, regressions, scalability, and workload characterization across releases, platforms, and customer scenarios. The leader will modernize the performance testing practice through automation, AI/agent-assisted analysis, intelligent validation, and resilient test pipelines.
What you will do
- Lead and grow a team of performance engineers responsible for end-to-end performance testing of a database product (benchmarks, workloads, regressions, scalability, concurrency, and reliability under load).
- Own the team’s delivery commitments for performance characterization requests across internal stakeholders (engineering, product, release, support) and external/customer-driven scenarios.
- Drive a transformation roadmap for performance testing that improves: Execution automation (repeatable runs through orchestration pipelines that are self-healing, observable and secure) Result analysis using AI and Agents(regression detection, noise modeling, confidence scoring, explainability) Root Cause Analysis Automation using AI/ML techniques (root-cause hypothesis generation, correlation analysis, report synthesis for performance issues) Modernize Test Framework to expand capabilities and assist in shift-left abilities
- Partner with engineering, architecture, and release teams to translate product changes into performance risk assessments and targeted test plans.
- Influence design decisions by providing early performance insights and recommendations.
- Communicate clearly to senior leadership: performance readiness, risks, mitigation plans, and trends using metrics and executive-ready summaries.
- Implement governance: baselines, test data versioning, environment parity, noise controls, and auditability of results.
Skills used in this role
What the employer is looking for
- 10+ years in performance engineering, test engineering, systems engineering, or a related discipline; 4+ years leading teams and delivering transformation roadmaps.
- Demonstrated experience in database performance testing or closely related systems (distributed systems, storage engines, query optimizers, large-scale compute platforms).
- Strong understanding of performance metrics and analysis: CPU, I/O, memory, concurrency, latency/throughput, query plans, system contention, and benchmarking methodologies.
- Proven track record modernizing engineering practices through automation and operational rigor (CI/CD, test orchestration, observability, reliability engineering).
- Proven experience applying AI/ML and/or LLM-based tooling to improve engineering productivity (analysis automation, anomaly detection, summarization, intelligent triage).
- Strong cross-functional leadership skills: ability to align stakeholders, negotiate priorities, and deliver outcomes in complex environments.
- Excellent communication skills and experience presenting to senior leadership.
Preferred qualifications
- Hands-on experience with one or more: Database internals (optimizer behavior, execution engine, indexing, statistics) Performance tooling (profilers, tracers, query plan analyzers, APM) Python/SQL-based analytics and visualization; statistical methods for noise and confidence intervals Cloud performance testing across AWS/Azure/GCP
- Experience building internal platforms for: test scheduling/orchestration, results repositories, dashboards, automated regression detection using AI.
- Familiarity with modern AI/agent patterns for engineering workflows (RAG for runbooks, agentic root-cause assistants, evaluation harnesses).
- Experience with security and compliance expectations for AI-enabled systems (data handling, access controls, audit trails).
- Background working in organizations undergoing AI proficiency/AI adoption transformation.
Benefits and support
- Flexible work model where employees make decisions about how, when, and where they work
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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