Head of Engineering (Ayama)

AI x Energy startup looking for a Head of Engineering with hands-on AI/ML experience, enterprise integration architecture and strong software engineering skills:

This AI startup has its MVP in deployment with its Fortune 500 partner, who is backing the company along with AI Fund to use AI to turn how $10+ Tr of heavy assets operated, managed and maintained on its head. With data centers and electrification driving surging growth in energy demand, the company is closing critical performance and talent gaps. If you are an innovator looking to drive the AI revolution into large scale assets that matter, we want to talk to you.

AI Fund Portfolio Company:

The company emerged from and is funded by a Fortune 500 company and the AI Fund, headquartered in Mountain View and founded by Dr. Andrew Ng. At its core, AI Fund is a venture studio dedicated to addressing challenges that propel the world forward. With a vision to meld AI technology with essential applications, AI Fund champions the belief that AI, much like electricity did, has the power to revolutionize a myriad of industries. As part of this endeavor, you'll gain unparalleled access to the world's leading AI luminaries and exclusive AI Fund resources.

You will play a crucial role in developing the company’s technology strategy and software architecture, leading a rapid transition from MVP to deployment at scale. Your task is to enhance the tech stack with a view towards ensuring scalability, independence of 3rd party platforms, and deployment flexibility across cloud, private cloud and on-prem, and build a high caliber team of experts across software engineering and AI/ML.

• Leadership & Strategy: Provide visionary leadership and strategy for the engineering team; Establish and drive strategic technology goals and objectives.
• Team Development: Develop and grow engineering talent, fostering a culture of collaboration, innovation, and continuous learning. Proven success in a remote environment.
• Collaboration: Work closely with all teams to ensure alignment between business and technological goals.
• You'll be expected to demonstrate a lead-by-example leadership style, an unparalleled commitment, and a proactive mindset to shape the foundation and drive the company's success from its earliest stages, including:
• Ready to dive deep, encompassing a hands-on, get-it-done mentality for whatever is needed, regardless of the job role.
• Actively contribute to the codebase, setting the standard for coding practices and ensuring high-quality software development.
• Be a full-time coach for your team to develop talent and create opportunities for staff.
• Mentor other departments, such as customer service and implementation, on the technology to best support customers.
• Being comfortable presenting to the board, addressing the entire company, and engaging in discussions with high-value potential customer prospects.
• Always strategizing and proactively sharing insights on improving the company, enhancing our product, and empowering our team to achieve greater success.
• Participation in fundraising activities.

• Entrepreneurial Experience: Previous experience as an engineering leader for a VC-backed technology company.
• 0 to 1 experience building a software product from MVP to scale.
• Full Stack Development: Across the software development lifecycle, ensuring best practices in both front-end and back-end development.
• Ideally proficient in both Python and TypeScript.
• AI/ML Proficiency: Conceptual understanding of AI/ML technologies to drive innovation within our product and ensure the engineering team stays updated with the latest advancements.
• Enterprise Integration and Scalability: Familiarity with integrating various data sources, tools, and platforms, ensuring scalability and growth optimization.
• Data Management: Demonstrated ability to lead and develop data management and governance practices, ensuring data integrity, security, and accessibility.Off-shore development:
• Hands on experience with building and leading mixed on/off shore development teams.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field a plus.
• Fundraising: Previous experience raising VC strongly preferred.

• All essential support needed to take the existing full stack engineering team to the next level and ensure your success in the role and, ultimately, the company's success.
• Remote first company for you and the engineering team.
• Headcount available to meet team growth needs.
• Fortune 500 users as design partners for real-world product feedback and prioritization.
• Turbocharge your AI network via AI Fund AI ecosystem, events, experts and connections.

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