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Relativity Space · 1 day ago

Director of Data & AI

Long Beach, CA

Full-time

Onsite

Director/Executive

$263K/yr - $337K/yr

10+ years exp

Relativity Space is building rockets to serve today’s needs and tomorrow’s breakthroughs, focusing on the development of autonomous rocket factories and launch platforms. The Director of Data & AI will lead the strategic direction and technical leadership of data and AI initiatives, overseeing the development of data architectures, machine learning models, and cross-functional collaboration to drive efficiencies across operations.

3D TechnologyAerospaceArtificial Intelligence (AI)Manufacturing

Responsibilities

Lead the design and implementation of scalable data architectures, including ETL pipelines, data modeling, data warehouse management, and reporting infrastructure, ensuring high-quality, actionable data across all systems

Oversee the development of a distributed data platform that supports mission-critical applications, enabling real-time data ingestion, access, and orchestration for test and launch and factory operations

Direct the design, development, and deployment of AI and machine learning models that leverage our data to drive automation, decision-making, and predictive analytics across the organization. Ensure these models are scalable, reliable, and move the needle on critical metrics for the company

Lead, mentor, and grow a team of software engineers, data engineers and machine learning engineers. Create an environment that fosters innovation, continuous learning, and technical excellence while aligning goals with company objectives

Partner with leadership and cross-functional users across the company to define the long-term strategy for data and AI initiatives, aligning the technical roadmap with company goals

Qualification

Data EngineeringMachine LearningAI ExpertiseCloud PlatformsData ToolsStrategic RoadmapsLeadershipCollaboration

Required

Degree in Computer Science

10+ years of experience in software engineering, data engineering or machine learning, with at least 5 years in a leadership role, overseeing large-scale systems

Experience designing, building, and deploying AI models and machine learning systems, particularly in high-performance or mission-critical environments

Proficient in AI techniques including deep learning, reinforcement learning, and natural language processing

Understanding of core ML concepts

Experience with advanced models such as Transformers/LLMs, LSTM models, time-series forecasting, and predictive analytics for real-time decision-making and automation

Familiarity with the mathematical underpinnings of ML

Experience with building and scaling AI infrastructure, including deploying and managing machine learning models in production environments

Experience with agentic architectures (e.g., MCP)

Experience in building scalable data architectures, including ETL pipelines, data modeling, and analytics

Expertise with modern data tools and technologies (e.g., Kafka, Spark, SQL, NoSQL, data lakes)

Understanding of cloud platforms (AWS, GCP, etc.), containerization (Docker, Kubernetes), and orchestration for building and deploying services

Demonstrated ability to lead and mentor teams, build a strong technical culture, and drive organizational change

Experience in developing strategic roadmaps and managing cross-functional collaborations to align on company-wide data and AI objectives