The Business Innovator will lead strategy, conduct market analysis, build partnerships, and support investment readiness for moonshot projects at X.

This role involves leading the Infrastructure and DevOps team to build a reliable and scalable AI-enabled energy grid. Responsibilities include cloud architecture, developer empowerment, incident management, and fostering operational excellence.

The Partner Operations Manager supports moonshot teams by managing accounts and vendor relationships, improving operational processes, and facilitating project graduation.

The role involves developing operations research models and algorithms while collaborating with project teams, intended for PhD candidates interested in machine learning applications.

The role involves developing full-stack AI enterprise software, from design to deployment, mentoring teammates, and integrating AI into software environments.

The Hardware Systems Engineer will develop and prototype multi-disciplinary hardware systems from concept to reality, ensuring subsystems function cohesively. Responsibilities include designing iterations, managing technical specifications, and fostering relationships with partners to execute projects.

The role involves developing advanced simulation and optimization tools, collaborating with experts, and leveraging modern computing for grid computations.

Design, build, and deploy production-grade AI systems for supply chain applications. Prototype and productionize LLM and Foundation Model solutions, integrate AI with enterprise systems (ERP, cloud, Kubernetes/Terraform), lead technical decisions, mentor teams, and ensure responsible, safe AI deployment and operations.

The role involves developing high-performance web applications, collaborating with teams to implement features, ensure code quality, and design user interfaces for the electric grid domain.

The Business Operations Manager will lead operational initiatives, support strategic planning, manage cross-functional projects, and communicate insights to executives, contributing to Tapestry's mission in the energy sector.

Support testing and characterization of revolutionary nanodevices, analyze data, engage in cross-functional teams, and contribute to experimental setups.

Join a multidisciplinary team to build and deploy machine learning models to address challenges in the electric grid, operationalizing ML at scale.

The Research Engineer will develop and deploy machine learning applications focused on severe weather, collaborating on system processes, and maintaining production environments.

As Head of Product Design, you'll lead the design team, define strategic direction, create design systems, and prototype AI-driven solutions for complex energy systems.

The Rapid Evaluator role involves assessing and developing breakthrough technology ideas, leading technical teams, and refining proposals for global impact.

Tapestry seeks passionate individuals for future roles in engineering, operations, and energy systems, focusing on clean energy and innovation.

Provide commercial, product, and employment legal advice across moonshot projects: draft and negotiate complex agreements, counsel on IP/privacy/data security and AI/ML issues, advise HR on labor compliance and personnel matters, manage disputes and investigations, supervise outside counsel, and improve legal processes to enable scaling and commercialization.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

This role involves leading innovation projects at X, developing breakthrough technologies from inception to product launch, and creating external partnerships.

The Rapid Evaluator will identify and assess potential technology-enabled projects, lead teams, and develop business concepts for revolutionary technologies. Requires critical thinking and experience in breakthrough tech.