Technical Product Partner - Enterprise
Technical Product Partner - Enterprise

Technical Product Partner - Enterprise

London Full-Time 108000 - 252000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team as a Technical Product Partner, driving AI solutions and product integrations.
  • Company: xAI is on a mission to create AI systems that enhance human understanding and knowledge.
  • Benefits: Enjoy competitive pay, equity, unlimited time off, and private health insurance.
  • Why this job: Be part of a dynamic startup culture where your contributions directly impact real-world problems.
  • Qualifications: Software engineering experience with strong communication skills and a passion for AI solutions required.
  • Other info: Work in a flat structure where initiative and excellence are rewarded.

The predicted salary is between 108000 - 252000 ÂŁ per year.

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:

  • Software engineering experience
  • 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
  • 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
  • Experience contributing to the design process from gathering requirements, and delivering visual specifications, to overseeing implementation.
  • Excellent visual, verbal, UI, and interaction skills.
  • Experience with design systems and software engineering.

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.

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.

Technical Product Partner - Enterprise employer: x.ai

At xAI, we pride ourselves on being an exceptional employer, fostering a dynamic work culture that thrives on curiosity and innovation. Our flat organisational structure empowers employees to take initiative and contribute directly to our mission, while offering competitive compensation, unlimited time off, and comprehensive health benefits. Located in the vibrant tech hub of Los Angeles, we provide unique opportunities for professional growth and collaboration on high-impact AI projects, making it an ideal environment for those passionate about solving real-world challenges.
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Contact Detail:

x.ai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Technical Product Partner - Enterprise

✨Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning, especially those related to product integrations and API-driven solutions. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Prepare to discuss specific projects where you've successfully navigated ambiguity and adapted to changing requirements. Highlighting your problem-solving skills in a fast-paced environment will resonate well with the team at xAI.

✨Tip Number 3

Practice articulating complex technical concepts in simple terms. Since strong communication skills are crucial for this role, being able to explain your ideas clearly will set you apart from other candidates.

✨Tip Number 4

Engage with the xAI community on platforms like LinkedIn or relevant forums. Networking with current employees or industry professionals can provide insights into the company culture and expectations, which can be invaluable during your application process.

We think you need these skills to ace Technical Product Partner - Enterprise

Software Engineering
Full Stack Development
API Integration
Python Programming
Rust Programming
TypeScript Programming
Understanding of HTTP Protocol
Machine Learning Fundamentals
Model Evaluation and Fine-Tuning
Data Processing Architectures
Technical Documentation
Communication Skills
Problem-Solving Skills
Adaptability in Fast-Paced Environments
Experience with Large Codebases
User Experience Design
SDK Development
Performance Optimisation
Experience with Terraform or Pulumi

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, AI, and product integration. Focus on projects that demonstrate your ability to deliver high-quality code and communicate effectively with clients.

Craft a Strong Statement of Exceptional Work: This is a key deciding factor for your application. In 100 words or less, describe a project or piece of work you are most proud of, focusing on your role, the challenges faced, and the impact of your contributions.

Showcase Communication Skills: Since strong communication skills are essential for this role, ensure your application reflects your ability to convey complex technical concepts clearly. Use concise language and avoid jargon where possible.

Highlight Relevant Technical Skills: Emphasise your proficiency in Python, Rust, TypeScript, and your understanding of APIs and full-stack development. Mention any experience with machine learning fundamentals and deploying models to production, as these are crucial for the role.

How to prepare for a job interview at x.ai

✨Showcase Your Technical Expertise

Be prepared to discuss your technical background in detail, especially your experience with AI and machine learning. Highlight specific projects where you've successfully implemented APIs or worked with complex codebases, as this aligns closely with the role's requirements.

✨Communicate Clearly and Concisely

Strong communication skills are essential for this position. Practice explaining your past projects and technical concepts in a straightforward manner, as you'll need to convey ideas effectively to both technical and non-technical stakeholders.

✨Demonstrate Problem-Solving Skills

Prepare examples of how you've navigated ambiguity and adapted to changing requirements in previous roles. This will show your ability to thrive in a fast-paced startup environment, which is crucial for the Technical Product Partner position.

✨Understand User Needs

Familiarise yourself with user pain points and how to address them through product integrations. Be ready to discuss how you gather customer feedback and use it to inform product roadmaps, as this is a key aspect of the role.

Technical Product Partner - Enterprise
x.ai
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  • Technical Product Partner - Enterprise

    London
    Full-Time
    108000 - 252000 ÂŁ / year (est.)

    Application deadline: 2027-06-20

  • X

    x.ai

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