Mission Manager - International Government
xAILondon, UKPosted 10 March 2026
Job Description
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
Mission Managers collaborate directly with international government agencies and global partners to strategize and execute mission-critical AI solutions.
You'll support new business proposals from requirements validation through solution design, prototyping, development, and rollout. As part of a team of Applied engineers, AI Researchers, and fellow Mission Managers, you'll connect disparate data points into a clear map of customer challenges—and align them with xAI products or collaborate with engineers to build new ones.
Top candidates bring a technical foundation, analytical mindset, and strong problem-solving curiosity. They demonstrate strong user empathy, a proven ability to execute quickly, resolve obstacles efficiently, and a proactive, hands-on approach to delivering results for customers.
In this role, you'll tackle problems demanding curiosity, analytical thinking, product intuition, and deep user empathy to empower customers.
Responsibilities
Leading problem discovery and product scoping for key customers, often on-site during international assignments
Meeting customers on-site in regions such as the Americas, Asia, or the Middle East to deploy xAI models/products in their environments or integrate their software with xAI's cloud, alongside engineers
Leading training sessions for stakeholders, team members, and end-users on xAI's AI models, tools, and integrations
Compiling and presenting progress reports to senior leadership, including demos, challenges, and recommendations for strategic adjustments
Identifying pain points, scoping specs, and building LLM-powered software for international government use cases
Optimizing model performance via prompt tuning or fine-tuning for secure, scalable deployment, and working with SMEs at the customer to improve this process
Analyzing logs, prompts, or outputs to ensure system reliability and effectiveness
Required Qualifications
Government Partnership Experience: Proven success collaborating with international government agencies, multilateral organizations, or contractors to deliver large AI, software, or data sovereignty initiatives.
Expertise in designing, implementing, and maintaining secure, scalable AI solutions that comply with international standards (e.g., GDPR equivalents or regional data protection regulations)
Ability to travel - 25% to full relocation for international assignments
Strong engineering background in areas like Computer Science, Mathematics, Software Engineering, Physics, or Data Science
Experience in Software Engineering or Machine Learning
Passion for solving complex, real-world problems—especially in global civilian missions—delivering AI-driven impact
Adaptability to evolving priorities in a fast-paced, mission-oriented startup, including the ability to travel or undertake international assignments primarily in the Americas, Asia, and the Middle East.
Strong communication to engage international government stakeholders, users, and officers—clarifying requirements and driving project success across diverse cultural and regulatory landscapes
Low ego, prioritizing mission objectives over personal credit
Skill in structuring vague problems and communicating them clear ... (truncated, view full listing at source)