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
The expected salary for this position, at commencement of employment, is between $173,000 and $216,750/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Apply by clicking the application link below and submitting your information. The deadline to apply for this role is 07/31/2026
