Director of AI-Driven Database Engine Product

Teradata; Polska; On-site; PLN 335,000 - 502,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) / retirement plan

Time-off programs

Job summary

Teradata is seeking a senior product leader to own the strategy and execution for the core database engine. You will shape multi-year roadmaps across the optimizer, execution runtime, and workload management, and drive performance on native storage, cloud storage, and open formats such as Iceberg and Delta Lake.

This role sits at the intersection of database engineering and AI, guiding GenAI and ML integration inside the engine, leading a rethink of core components, and delivering measurable

Qualifications

• 15+ years in databases, query engines, or distributed data systems, including senior product management or equivalent principal or staff engineering experience.
• Expert understanding of database internals: query planning, cost-based optimization, execution models, and MPP trade-offs.
• Deep SQL expertise: a heavy SQL user with strong opinions on language design, ergonomics, and compatibility.
• Hands-on performance mindset: reading query plans, designing benchmarks, and finding root causes with senior engineers.
• Strong working understanding of LLMs and AI agents, and how they change database design and ML can improve database internals.
• Knowledge of Snowflake, Databricks, and ClickHouse; fluency in lakehouse architecture and open table formats.
• Degree in Computer Science or related field; MS/PhD a plus.

Responsibilities

• Lead product strategy and execution for Teradata's core database engine, shaping the multi-year roadmap.
• Own architecture direction with senior engineering leaders and trade-offs across performance, cost, and complexity.
• Rethink core engine components for AI agents as the dominant workload and apply GenAI/ML inside the engine.
• Deliver measurable gains by working with engineering on query plans, benchmarks, and bottlenecks.
• Shape the SQL surface customers live in, improving syntax, semantics, ergonomics, and backward compatibility.
• Design features for readable, safe, and cost-aware queries; enable agents to generate and execute T-SQL-like dialects.

Skills

Database strategy

Senior product management

SQL language design

Performance mindset

LLMs / AI agents

Architecture knowledge (Snowflake, Dat

Education

MS or PhD in databases / distributed systems / ML

Job description

Teradata is seeking a senior product leader to own the strategy and execution for the core database engine. You will shape multi-year roadmaps across the optimizer, execution runtime, and workload management, and drive performance on native storage, cloud storage, and open formats such as Iceberg and Delta Lake.

This role sits at the intersection of database engineering and AI, guiding GenAI and ML integration inside the engine, leading a rethink of core components, and delivering measurable