Product Lead - AI Business Incubation
$173k - $216.75kAES Corporation
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries , AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work , you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.
AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023 , we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.
Who we are:
AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. We are a small team within AES Next, AES's new business incubator, focused on building AI companies that accelerate the future of energy. Through our partnership with AI Fund, a venture studio founded by Dr. Andrew Ng, we incubate companies from idea to prototype to venture funding to commercial deployment.
What We're Looking For:
The ideal candidate is a self-starter who thrives in fast-paced environments. Our first goal is to identify and confirm business opportunities by quickly building and early iterating on prototypes with subject matter experts. As successful prototypes are approved to advance in the venture studio process, the role of the product lead evolves from being the primary owner to being an advisor to the new company.
What you will do:
Collaborate cross-functionally with business users across AES and with external partners at AI Fund to co-develop new AI solutions
Define product requirements by working closely with internal champions to define their pain points and solution needs
Develop rapid prototypes using AI-assisted coding tools to test technical feasibility, including front end UX to confirm user/buyer interest (targeting at least 1 early-stage prototype per quarter)
Demo prototypes to internal and external users and iterate based on user feedback
Own overall business case context and the connection between product capabilities and delivering measurable benefits to buyers
Define scaling and deployment considerations, including mapping necessary integrations and implications for enterprise adoption
Once prototypes graduate to start-ups, advise the CEO/CTO on development of the minimal viable commercial product
For any start-ups that receive funding, work with the CEO/CTO to support the commercialization and AES deployment of those solutions
What you must bring:
Experience building applications that incorporate Generative AI
Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use
Proficiency with GenAI tools and frameworks\ Exposure to rapid prototyping methodologies and shipping MVPs
Exposure to rapid prototyping methodologies and shipping MVPs
Deep curiosity and a fast-learning mindset-especially around emerging trends in AI
Strong communication skills and ability to work collaboratively across disciplines
Nice to have:
Energy industry experience
Experience gathering user feedback directly and iterating based on insights
Interest or experience in product design, product thinking, or new product commercialization
Familiarity with governance, compliance, and security aspects in AI application architecture
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