Jobs at Multiverse Computing

Design, train, fine-tune, compress, evaluate, and deploy large language models using quantum-inspired techniques. Build RAG systems and AI agents, develop custom deep learning solutions, optimize model performance, and support applications beyond LLMs such as computer vision. Document experiments, participate in code reviews, mentor junior engineers, collaborate cross-functionally, and track emerging AI technologies.

Build and optimize scalable, secure, highly available AWS infrastructure and production APIs. Implement DevOps strategies, automate software delivery through CI/CD pipelines, manage containerized deployments, troubleshoot infrastructure and security issues, and deploy software stacks to enterprise client environments. The role requires collaboration with development and operations teams, customer-focused problem solving, and delivery in a fast-paced environment.

Own partnerships and go-to-market activities across semiconductor companies, GPU and data-center hardware resellers, and data-center operators. Build partner programs, joint offers, sales pipelines, and commercial models for AI infrastructure products and token-based inference services. Lead customer opportunities from qualification through contract signature, negotiate partnership and reseller agreements, forecast revenue, and communicate partner requirements to internal product and engineering teams.

Manages strategic partnerships with cloud providers such as AWS and GCP. Oversees agreement execution, co-sell objectives, expense targets, partner benefits, KPI tracking, marketplace transactions, and joint go-to-market initiatives. Collaborates with sales, product, and marketing teams, resolves partnership issues, enables partner resources, and uses performance data to optimize outcomes.

Lead an international engineering team to design, implement, and deploy ML/Generative AI/vision systems (including LLMs, RAG, agentic AI) into cloud production. Manage project scope, risks, timelines, stakeholder communication, and technical direction while ensuring quality, documentation, and cross-team collaboration.

Lead Multiverse's earned media and external narrative across the US and Europe. Build in-house PR capability, manage direct media relations, position the CEO and leadership, draft high-quality press materials, translate complex quantum and AI topics for mainstream audiences, coordinate cross-functional alignment, and own crisis communications and coverage reporting.

Lead strategic enterprise sales across the US for AI, LLM, and quantum infrastructure solutions. Manage full deal lifecycle for large, complex opportunities, engage C-suite stakeholders, co-create tailored AI use cases, and drive long-term account expansion through cross-functional collaboration and go-to-market execution.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.