Jobs at xAI

Corporate Counsel will lead and support mergers, acquisitions, joint ventures, investments, partnerships, and other strategic transactions. Responsibilities include diligence, deal structuring, negotiation, execution, post-closing integration, corporate governance, subsidiary management, entity compliance, and advising internal teams on complex corporate matters. The role is fully onsite and requires collaboration across corporate development, finance, operations, and engineering.

Lead creator and community communications for Grok Imagine by developing showcase content, influencer programs, professional production partnerships, and creator feedback channels. Manage outreach, editorial content, external production vendors, rights-clearance workflows, and performance measurement. The role requires translating AI product capabilities into credible stories, creator adoption, community advocacy, and professional media workflows while collaborating closely with product, research, design, and engineering teams.

Leads Spaceport Events hospitality operations, including staff hiring and supervision, service planning, guest satisfaction, catering coordination, vendor communication, training, food safety, and event-area upkeep. Manages JIRA hospitality requests, schedules, staff coverage, customer concerns, and large-group travel coordination. The role requires hands-on event leadership, strong communication, operational problem-solving, physical stamina, flexible availability, and food safety certifications.

Own B2B growth marketing operations, including content strategy, email automation, segmentation, campaign testing, paid and partner programs, webinars, CRM integrations, and integrated campaigns. Collaborate with sales, product marketing, insights, creative, and engineering teams to build reliable workflows, maintain data quality, execute QA processes, and deliver accurate reporting under tight timelines.

Negotiate and manage complex enterprise technology agreements, strategic partnerships, hyperscaler deals, vendor contracts, and AI product transactions. Partner with Sales, Business Development, Finance, Product, and Legal teams to develop commercial strategies, mitigate risks, ensure compliance, and streamline contracting operations. The role requires practical legal judgment, strong transaction experience, adaptability, and a hands-on approach in a fast-paced AI company.

Design, deploy, and operate large-scale datacenter, campus, core, and high-performance networks. Own routing and switching standards, qualify platforms and optics, troubleshoot Layer 2/3 production incidents, improve monitoring and documentation, and automate network operations. Collaborate with compute, facilities, and software teams during cluster build-outs, participate in on-call rotations, and support network capacity planning and maintenance.

Investigate and mitigate fraud, money laundering, and suspicious activity within the BSA/AML program. Responsibilities include reviewing transaction alerts and customer activity, conducting CDD and EDD, documenting investigations, tuning fraud detection rules, supporting audits and regulatory exams, monitoring emerging fraud typologies, and training staff on fraud and AML red flags. The role requires a Saturday-Wednesday schedule with in-office work Monday through Wednesday in Palo Alto or New York City.

Build large-scale video services and rebuild media processing and distribution pipelines using high-performance languages. Ensure exceptional media quality, performance, and reliability across video playback, live streaming, audio/video calls, and other products. Work with distributed systems and media technologies such as WebRTC, LL-HLS, and video transcoding while optimizing end-to-end performance at scale.

Join xAI as a Software Engineer for the X Ads Platform, focused on building and shipping product features across various systems, utilizing AI for advertising improvements, and collaborating with cross-functional teams.

Build, operate, and scale distributed data infrastructure (Kafka, Spark, Flink, Trino, HDFS) to enable real-time ML pipelines and analytics at petabyte scale. Design high-throughput, low-latency ingestion and transport, optimize performance, debug distributed systems, and collaborate with ML and product teams to ensure reliable, production-grade data movement and compute.

The HR Business Partner supports engineering teams by managing employee relations, performance management, and organizational development, aiding in employee onboarding and career development.

Design, build, and optimize massive GPU clusters and low-level CUDA kernels for AI training and inference. Work on Linux kernel internals, virtualization (KVM, Firecracker), custom orchestration, profiling, and infrastructure-as-code to maximize performance and scalability for production AI workloads.

As Engineering Lead for Consumer Subscriptions, you will oversee billing infrastructure, lead a team, and enhance user experiences through effective engineering initiatives.

Design, implement, and operate core networking software for a large-scale GPU datacenter fabric. Develop routing and traffic-engineering algorithms, real-time switch software, prototypes and experiments, deployment and CI tooling, monitoring, and testing to maximize performance and reliability of AI training infrastructure.

Design and architect recommendation algorithms, build data pipelines and continuously learning training jobs, improve ranking systems through real-time experimentation and user feedback, and ensure machine learning systems are scalable and efficient. The role requires industrial-scale recommender systems or deep learning experience and proficiency with data infrastructure and deep learning frameworks.

Develop and operate large-scale AI-powered advertising systems using Grok models. Responsibilities span candidate selection, ranking, auctions, campaign optimization, creative generation, and advertiser experiences. The role owns high-throughput products and systems that drive significant revenue while collaborating in a hands-on, high-excellence engineering environment.

Analyze Human Data operational metrics, including capacity, utilization, quality, throughput, cost, and workforce health. Build dashboards, trackers, forecasting views, and operating systems to support staffing, allocation, and planning decisions. Identify data gaps, improve processes and escalation paths, and translate analysis into recommendations for cross-functional stakeholders across operations, engineering, recruiting, finance, and onboarding. Lead ad hoc research and projects that improve operational efficiency, quality, cost, and reliability.

Lead and improve regulated and prohibited content enforcement programs: set detection and automation requirements, translate policy/legal constraints into operational controls and workflows, manage escalations and QA, align cross-functional partners, monitor regulations, and report program performance and risks to leadership.

Build and operate the observability platform: design scalable metrics/logs/tracing infrastructure, implement high-performance telemetry pipelines, develop APIs/query engines/UIs, enforce instrumentation and alerting best practices, and own system reliability and performance.

Build, own, and improve the evals platform that measures model capabilities and behaviors. Design datasets and grading schemes, manage execution infrastructure, diagnose failures, and deliver robust tools engineers use to clean data, provide experiment feedback, and track model growth.