Engineering Technical Lead Manager (TLM) - Enterprise

An ideal candidate meets at least the following requirements

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 engineers are expected to have strong communication skills and should be able to concisely and accurately share knowledge with their teammates., * People management experience with ongoing IC/TL responsibilities.

• Expert knowledge of either Rust or C++.
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems.
• Knowledge of service observability and reliability best practices.
• Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB., * Strong passion for solving real-world business problems and delivering measurable impact through AI solutions.
• Proven track record of shipping high-quality code and successfully completing projects in challenging environments.
• Ability to navigate ambiguity and adapt to changing requirements and priorities in a fast-paced startup environment.
• Strong communication skills for interfacing with customers to clarify requirements and drive a project to completion.
• Emphasis on designing, implementing, and maintaining robust and scalable AI-driven solutions.
• Proficiency in working with large, complex codebases and designing efficient data processing and model serving architectures., * 4 to 12 years of software engineering experience, including 1+ year of people management.
• Background in full stack with in-depth understanding of product architecture.
• Proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces.
• Expertise in prompt engineering.
• Proven Expertise in Python and/or TypeScript.
• Great verbal and written communication skills in English.
• Ability to turn business and product ideas into engineering solutions.
• Understanding of the HTTP protocol.
• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.

Preferred experience

• Power user of Grok.
• Building evals for new capabilities and evaluating our systems.
• Understanding of machine learning fundamentals, including model evaluation, training and fine-tuning.
• Excellent visual, verbal, UI, and interaction skills.
• Experience in client facing sales or delivery focused roles.
• Deploying machine learning models to production.
• Writing developer documentation.
• Creating and maintaining SDKs.
• Working with massive datasets, optimizing performance, and scaling systems for high-throughput workloads.
• Using Pulumi or Terraform.

Annual Salary Range: $180,000 - $440,000 USD

Base salary is part of a total rewards package that also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, disability and life insurance, and other perks.

The Enterprise Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges.