East Palo Alto
Posted 8 months ago
| About The Company This company offers a scalable platform designed for developers and enterprises to effortlessly create and commercialize generative AI applications. Their solution stands out with unique features for deploying and serving models, accessing AI agent APIs, and managing training and inference jobs on serverless or decentralized GPU clouds. Additionally, it includes tools for experimental tracking, ensuring security and privacy throughout the process Responsibilities – Serve as the lead technical advisor during the pre-sales phase, engaging with potential clients to understand their infrastructure needs and designing tailored AI infrastructure solutions. – Work closely with sales and product teams to create and present customized proposals that demonstrate the value and capabilities of the AI infrastructure platform. – Negotiate solution architectures with clients, ensuring that proposed solutions are feasible and aligned with both the client’s requirements and the company’s strategic goals. – Facilitate communication between internal teams, including engineering, product management, and sales, to ensure product release schedules are aligned with customer expectations and market demands. – Manage the implementation of AI infrastructure projects, overseeing timelines, resources, and deliverables to ensure successful project execution and customer satisfaction. – Conduct technical presentations, demonstrations, and workshops to showcase the platform’s capabilities and educate clients on best practices for deploying and scaling AI infrastructure. – Stay informed about the latest advancements in AI infrastructure, cloud computing, and related technologies, providing insights and recommendations to both clients and internal teams. – Act as the primary technical contact during customer engagements, providing ongoing support and troubleshooting throughout the project lifecycle. Qualifications (Minimum) – Bachelor’s degree in Computer Science, Engineering, or a related technical field. – 5+ years of experience in a solution architect or technical consulting role, with a focus on infrastructure, cloud computing, or AI/ML systems. – Deep understanding of AI infrastructure technologies, including distributed computing, data storage, and model deployment frameworks. – Proven experience leading pre-sales technical engagements, from solution design to final negotiations. Preferred Qualifications – Master’s degree in AI, Machine Learning, Computer Science, or a related field. – Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and AI/ML frameworks (e.g., TensorFlow, PyTorch). – Familiarity with DevOps practices, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines for AI/ML workflows. – Previous experience in a high-growth or startup environment, particularly within the AI infrastructure space. – Strong problem-solving abilities and a proactive approach to identifying and addressing technical challenges. – Demonstrated project management skills, with experience overseeing the successful implementation of large-scale technical solutions. – Strong communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders. – Ability to work collaboratively with cross-functional teams, balancing multiple priorities and projects in a fast-paced environment. |
Job Features
| Job Category | Account Management |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $140,000 - $200,000 |
| Recruiter | nicole.wong@ocbridge.ai |
