Top Artificial Intelligence Jobs

The job invites individuals to express interest by submitting resumes or LinkedIn profiles, emphasizing diversity and contributions to the mission.

Lead global accounting operations across multiple entities, ensure US GAAP/IFRS compliance, manage close and consolidations, strengthen internal controls and SOX programs, drive ERP implementation and financial systems transformation, partner with tax, FP&A, and auditors, and support M&A accounting and international project controllership.

The role involves managing revenue operations, pricing, billing processes, and financial modeling, alongside strategic finance projects and leadership collaboration.

As a Computational Protein Design Scientist, you will leverage generative AI to design proteins, improve models, and collaborate with lab teams for experimental validation.

As a Software Engineer Intern, you'll design and develop scalable solutions, collaborate on features, and enhance our developer platform with innovative technologies.

The Senior Content Marketing Manager will lead content strategy, create various formats of content, and manage SEO efforts to support brand awareness and demand generation.

Lead and scale a mid-market AE organization by improving forecast accuracy, pipeline hygiene, and deal velocity. Coach AEs on complex, multi-stakeholder deals, implement a rigorous forecasting cadence and MEDDPICC methodology, align cross-functional GTM teams, support hiring and ramping, and establish a high-performance sales culture focused on accountability and outbound discipline.

Join UTOPIA's Expert Network to provide mentorship, technical and commercial guidance, strategic introductions, fundraising support, workshops, research, and venture-studio collaboration to founders and portfolio companies across emerging markets. Flexible, advisory engagements ranging from one-off sessions to longer-term support; roles are Doha-based with hybrid options and global travel opportunities.

Support integration of open-source biological ML models onto GPU-based infrastructure, containerize and deploy models, optimize performance (distributed training, data loading, GPU utilization), collaborate with researchers, and produce documentation and APIs to enable biotech researchers to use models effectively.

Develop consumer-centric web applications, enhance usability, collaborate with designers, implement backend software and APIs, write tested code, and follow agile development cycles.