Grok Product Engineer: Build Fast, Useful AI Agents

SpaceX Super Intelligence; San Francisco (CA); On-site; USD 140,000 - 225,000; Full time

Benefits offered by this job

Equity

Medical, Vision, and Dental coverage

401(k) retirement plan

Disability insurance

Life insurance

Job summary

SpaceXSI is seeking a Software Engineer for the Grok product to design and deliver scalable agentic features across web and mobile, enhancing efficiency and user experience. You will work on infrastructure and search capabilities, empowering Grok and Bot to excel at shopping and beyond.

Responsibilities include building high-performance systems, data pipelines from real-time signals, and owning features end-to-end, with no prior AI experience required beyond sharp thinking and execution.

Qualifications

• 2+ years of professional software engineering experience shipping user-facing products.
• Proactive self-starter who turns bold ideas into high-impact realities with focused execution.
• Skilled in scalable architectures, Kubernetes, observability, and production tuning for performance/reliability.
• Track record shipping consumer-facing products to millions, emphasizing user delight and feedback.

Responsibilities

• Design and build the systems that make Grok useful for everything from quick questions to useful work
• Architect high-performance systems for personalized, reliable interactions at global scale
• Build and optimize data pipelines using real-time user signals to drive product improvements
• Own end-to-end features from ideation to deployment and monitoring

Skills

Proactive

Self-starter

User-facing products

AI enthusiasm

Tools

Kubernetes

Observability

Production tuning

Job description

SpaceXSI is seeking a Software Engineer for the Grok product to design and deliver scalable agentic features across web and mobile, enhancing efficiency and user experience. You will work on infrastructure and search capabilities, empowering Grok and Bot to excel at shopping and beyond.

Responsibilities include building high-performance systems, data pipelines from real-time signals, and owning features end-to-end, with no prior AI experience required beyond sharp thinking and execution.