Director of Data & AI

Relativity Space • Long Beach, CA

13d

About The Position

As the Director of Data & AI, you will be responsible for the strategic direction and technical leadership of our data and AI initiatives, which include:
Data Engineering: 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.
Data Platform: 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.
Machine Learning & AI: 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.
Leadership & Mentorship: 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.
Collaboration & Strategy: 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.
In this role, you will define the future of how Relativity Space uses data and AI to drive smarter, more efficient operations.

Requirements

• 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.

Nice To Haves

• Direct experience with aerospace or 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.

Benefits

• Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Director