Director of Data & AI

At Relativity Space were building rockets to serve todays needs and tomorrows breakthroughs. OurTerran R vehicle will deliver customer payloads to orbit meeting the growing demand for launchcapacity. But thats just the start. Achieving commercial success with Terran R will unlock newopportunities to advance science exploration and innovation pioneering progress that reaches beyondthe known.

Joining Relativity means becoming part of something where autonomy ownership and impact exist at every level. Here youre not just executing tasks; youre solving problems that havent been solved before helping develop a rocket a factory and a business from the ground up. Whether youre in propulsion manufacturing software avionics or a corporate function youll collaborate across teams shape decisions and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand and your voice will help define the stories were writing together. Nowis a unique moment in time where its early enough to leave your mark on the product the process andthe culture but far enough along that Terran R is tangible and picking up momentum. The mostmeaningful work of your career is waiting. Join us.

About the Team:

Relativity Space is on a mission to better connect humanity to space and the universe beyond our decades of experience scaling world-class technology organizations like Google CEO Eric Schmidt is guiding Relativity into itsnext phase: advancing Terran R toward launch and building the foundation for long-term impact.

The Data & AI organization at Relativity Space is a critical pillar supporting our work to build autonomous rocket factories and launch platforms. Our mission is to develop and integrate data engineering machine learning and AI technologies that provide actionable insights automate decision-making and drive efficiencies across our operations.

As a director youll shape the strategies and technologies that power these systems. You will lead a cross-functional team focused on delivering high-performance data pipelines building scalable AI models and ensuring that AI-driven automation plays a central role in transforming operations from Earth to Mars

About the Role:

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.

About You:

• Education: Degree in Computer Science.
• Experience: 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.
• AI & Machine Learning Expertise: 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.
• Foundational Machine Learning Knowledge: 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.
• AI Infrastructure Experience: Experience with building and scaling AI infrastructure including deploying and managing machine learning models in production environments. Experience with agentic architectures (e.g. MCP).
• Data Engineering: 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).
• Cloud & Platform Development: Understanding of cloud platforms (AWS GCP etc.) containerization (Docker Kubernetes) and orchestration for building and deploying services.
• Leadership & Strategy: 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 but not required:

• Direct experience with aerospace or manufacturing

Travel:

• Occasional visits to Relativity Space facilities across the United States

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

If you need a reasonable accommodation please contact us at .