Technical Product Partner, Enterprise

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 engineers and researchers are expected to have strong communication skills.

They should be able to concisely and accurately share knowledge with their teammates.

About the Role

As a Technical Product Partner, Enterprise in the GTM (Go-To-Market) team, you will work directly with our end customers, owning strategy and execution for product integrations and API-driven solutions.

Your responsibilities mirror those of a hands-on AI startup CTO: you’ll collaborate in a small team to deliver high-stakes projects with clients.

A day’s work may include:

• Deliver solutions end-to-end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software
• Own end-to-end product experience and technical execution for 3P product integrations
• Keep tabs on new API products, collect customer feedback, and help create the product roadmap
• Identify product gaps from customer interactions and prioritize based on revenue opportunity
• Make full-stack contributions to xAI tooling or products to support partner engineering teams
• Author or contribute to technical design docs to drive product integration forward
• Track and optimize growth of partner products post-launch
• Improve model performance by system prompt tuning
• Improving xAI SDKs or developer documentation based on customer feedback

Focus

• 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 that will become important when 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
• Owning technical design docs and assembling feature requirements

An ideal candidate meets at least the following requirements:

• 6+ years of software engineering experience preferred
• Great verbal and written communication skills in English
• Background in full stack with in-depth understanding of product architecture
• Strong instincts around product / user experience
• Ability to turn business and product ideas into engineering solutions
• Proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
• Experience in Python, Rust, and/or TypeScript
• Understanding of the HTTP protocol
• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science

Furthermore, candidates may stand out by having any of the following experiences:

• Building evals for new capabilities and evaluating our systems
• Demonstrating an understanding of machine learning fundamentals, including model evaluation, training, and fine-tuning
• Deploying machine learning models to production
• Writing developer documentation
• Creating and maintaining SDKs
• Showcasing the ability to work with massive datasets, optimize performance, and scale systems to handle high-throughput workloads
• Using Pulumi or Terraform
• Visual/design background

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work.

If your application passes this stage, you will be invited to a 15-minute interview (“technical phone interview”) during which a member of our team will ask technical questions about your background or specialization.

If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

Please note that the Statement of Exceptional Work is a key deciding factor for consideration.

• 15 min Screen
• Interview Round
• Meet the Team

Our goal is to finish the main process within one week.

We don’t rely on recruiters for assessments.

Every application is reviewed by a member of our technical team.

All interviews will be conducted via Google Meet or in-person.

Benefits

• Competitive cash-based compensation
• xAI equity
• Private health and dental insurance
• Unlimited time off subject to prior approval

Annual Salary Range

$180,000 - $440,000 USD

xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For Los Angeles County (unincorporated) Candidates:

xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:

• Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;
• Interacting with internal and/or external clients and colleagues; and
• Exercising sound judgment.

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