AES Corporation product management interviews test whether candidates understand how developing and managing energy products differs from product management at a software company or a consumer goods company – where power purchase agreement product structuring for AES Clean Energy requires legal, financial, and operational expertise to design contract terms that meet corporate sustainability buyers' requirements while managing AES's offtake risk over 15 to 25 year terms, where utility tariff design for AES Indiana and AES Ohio customers is subject to PUC approval and must balance revenue adequacy for rate base recovery with customer bill management and regulatory acceptance, and where grid-scale battery storage product management requires understanding of both the energy markets where storage participates for capacity, frequency regulation, and energy arbitrage revenue and the power purchase agreement terms that structure storage value for utility and corporate customers. Product management at AES spans power purchase agreement product structuring for AES Clean Energy (where wind, solar, and battery storage projects are monetized through long-term PPAs with utilities, municipalities, and corporate buyers, and where the PPA product terms including tenor, pricing structure, curtailment provisions, and credit support requirements must be designed to be competitive in the corporate procurement market while managing AES's development and operational risk), utility tariff design and rate product development for AES Indiana and AES Ohio (where residential and commercial rate structures including time-of-use rates, tiered energy rates, demand charges for commercial accounts, and EV charging tariffs must be designed to recover AES's allowed revenue requirement while creating customer incentives that align customer usage behavior with grid efficiency and AES's operational cost structure), battery storage product management for the growing grid-scale storage market (where AES has significant battery storage development capability through its Fluence joint venture with Siemens, and where storage products must be designed for the specific market applications – capacity, ancillary services, transmission deferral, or behind-the-meter – that justify the development investment), and distributed energy resource product development for commercial and industrial customers (where AES offers behind-the-meter solar, storage, and demand management solutions for C&I customers who want to reduce their energy costs and carbon footprint, and where product design must account for the regulatory constraints that affect what customer-sited generation and storage can do under AES Indiana's and AES Ohio's utility tariffs).
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What interviewers actually evaluate
PPA Product Structuring, Utility Tariff Design, and Battery Storage Product Development
AES product management interviews probe whether candidates understand how energy product management differs from software or consumer product management in the regulatory approval constraint (utility tariff products must be approved by state public utility commissions before they can be offered to customers, making the product development process fundamentally different from technology product development where deployment decisions are internal – PUC proceedings require evidentiary filing, stakeholder testimony, and commission deliberation that can take 12 to 18 months and may result in product design modifications that the company did not propose), the long-duration contract risk management (power purchase agreements are 15 to 25 year contracts where the product terms set at execution must manage AES's exposure to fuel cost changes, technology cost changes, and counterparty credit changes over a period where the energy market may be fundamentally different than at contract execution – requiring product managers who understand how to design PPA terms that protect AES's position without being so one-sided that buyers select competitor developers), and the multi-revenue-stream battery storage complexity (grid-scale battery storage participates simultaneously in energy markets, capacity markets, and ancillary services markets, with each market providing a different revenue stream at different times – and product managers who design storage contracts must understand how to structure the revenue sharing and dispatch rights provisions that allocate these multiple revenue streams between AES and the storage product buyer in a way that makes both parties' economics work).
The Fluence joint venture with Siemens positions AES as both a battery storage project developer and a technology supplier through its equity interest in Fluence, creating product management opportunities at the intersection of storage hardware, software controls, and project development that require understanding of the storage technology as well as the market and regulatory context.
What gets scored in every session
Specific, sentence-level feedback.
| Dimension | What it measures | How to answer |
|---|---|---|
| Corporate PPA product structuring for AES Clean Energy | Do you understand how to structure the power purchase agreement product for AES Clean Energy's wind or solar projects – how to design the pricing mechanism that balances the corporate buyer's desire for long-term price certainty against AES's exposure to merchant price risk over the PPA term, what the curtailment provisions should be that determine how AES is compensated when the buyer's energy system cannot take all of the contracted generation output, and how to develop the credit support requirements for a PPA counterparty whose financial profile requires AES to assess whether 15-year payment obligations can be honored without collateral or performance bond requirements? We flag product management answers that describe PPA structuring as contract drafting without engaging with the pricing mechanism design and risk allocation provisions that determine whether the PPA product is competitive in the corporate renewable procurement market and manages AES's development risk appropriately. | PPA pricing mechanism design for buyer certainty versus AES merchant risk balance, curtailment provision structure and compensation mechanism, counterparty credit assessment and support requirements for long-term PPA |
| Utility time-of-use rate design and PUC approval process | Can you describe how to develop a time-of-use rate product for AES Ohio's residential customers – how to design the peak and off-peak pricing structure that sends price signals that align with AES Ohio's wholesale energy cost profile, what the customer bill impact analysis shows for different usage profiles under the TOU rate versus the current flat rate, and how to develop the PUC filing that presents the TOU rate design with the load flow analysis and revenue neutrality demonstration that PUCO typically requires before approving a new rate tariff? We score whether your utility rate product approach engages with the regulatory approval process and customer impact analysis that distinguish utility tariff design from commercial product development where deployment decisions are internal. | Peak/off-peak pricing structure aligned with AES Ohio wholesale cost profile, TOU customer bill impact analysis across usage profiles, PUCO filing requirements for new rate tariff approval |
| Grid-scale battery storage product design for capacity and ancillary services | Do you understand how to design the battery storage product structure for AES Clean Energy's utility-scale storage projects – how to model the multiple revenue streams from PJM capacity market participation, frequency regulation ancillary services, and energy market arbitrage that determine total project economics, what the storage product contract terms should be for a utility buyer seeking to use the storage for peak demand reduction and grid reliability services, and how to develop the dispatch rights provisions in the storage contract that allocate control between the utility buyer's operational dispatch needs and AES's optimization of ancillary services revenue that requires specific dispatch patterns? We detect product management answers that describe storage product design as battery hardware specification without engaging with the multi-market revenue modeling and dispatch rights allocation that determine whether a grid-scale storage product generates acceptable returns for AES and delivers the services that utility buyers need. | PJM capacity and ancillary services revenue modeling for battery storage project economics, utility buyer storage contract terms for peak demand and reliability services, dispatch rights provisions balancing buyer operational needs and AES revenue optimization |
| Distributed energy resource product development for C&I customers | Can you describe how to develop AES's behind-the-meter solar plus storage product for commercial and industrial customers in AES Indiana's and AES Ohio's service territories – how to design the product offering that combines rooftop or parking canopy solar with behind-the-meter storage to reduce the customer's demand charge exposure and provide resilience during utility outages, what the regulatory constraints are on customer-sited generation under AES Indiana's interconnection tariff including the limitations on exporting excess generation to the grid, and how to develop the financing structure that makes the product accessible to C&I customers who want the economic benefits without the upfront capital investment of equipment ownership? We flag product management answers that describe C&I distributed energy as energy efficiency programs without engaging with the interconnection tariff constraints and financing structure design that determine whether behind-the-meter products are economically accessible and regulatorily compliant. | Demand charge reduction and resilience product design for C&I customers, AES Indiana and Ohio interconnection tariff constraints on customer-sited generation, financing structure for C&I distributed energy product accessibility |
How a session works
Step 1: Choose an AES product management scenario – corporate PPA product structuring for AES Clean Energy, utility time-of-use rate design and PUC approval process, grid-scale battery storage product design for capacity and ancillary services, or distributed energy resource product development for C&I customers.
Step 2: The AI interviewer asks realistic AES-style questions: how you would structure the power purchase agreement product for a 150 MW solar project that a Fortune 100 technology company wants to use to meet its Scope 2 electricity commitments in the PJM region, including how to design the pricing structure for a 15-year fixed-price PPA versus an index-based PPA with a fixed adder, what curtailment provisions should address the risk that the buyer's load in the region may be less than contracted generation during low-demand periods, and how to assess whether the buyer's credit profile requires collateral support or whether an unsecured PPA is appropriate given the buyer's investment grade rating; how you would design and file AES Ohio's EV charging time-of-use tariff that creates overnight off-peak pricing for EV owners while recovering AES Ohio's distribution system costs appropriately, including how to structure the peak versus off-peak pricing to incentivize overnight charging during periods when AES Ohio's generation fleet has surplus capacity, what the revenue requirement impact is of offering EV owners significantly discounted off-peak rates, and how to structure the PUCO filing to demonstrate that the tariff is revenue neutral after accounting for EV load growth; or how you would develop the product specification for a 100 MW / 400 MWh grid-scale battery storage project that an AES Clean Energy customer – a rural electric cooperative – wants to use to reduce its PJM capacity obligations and provide local reliability during peak demand periods.
Step 3: You respond as you would in the actual interview. The system scores your answer on PPA product structuring, utility tariff design, battery storage product development, and distributed energy product design.
Step 4: You get sentence-level feedback on what demonstrated genuine energy product management expertise and what needs stronger PPA risk allocation engagement or utility tariff regulatory approval process specificity.
Frequently Asked Questions
What is a power purchase agreement and how is it an energy product?
A power purchase agreement is a long-term contract under which AES Clean Energy agrees to sell electricity from a specific renewable energy project to a buyer – typically a utility, municipality, or large corporate – at a specified price for a specified period, often 15 to 25 years. The PPA is the primary commercial product through which AES monetizes its renewable energy development investments. PPA product design involves decisions about pricing structure (fixed price, indexed, or escalating), delivery terms, curtailment provisions, credit support requirements, and representations about the project's expected generation output that allocate commercial and operational risks between AES and the buyer.
How does utility tariff design work and what role does product management play?
AES Indiana and AES Ohio offer electricity service under tariff schedules approved by their respective state public utility commissions. Each tariff schedule is a rate product defining the price structure, eligibility, and terms for a specific customer class or service type. Product management for utility tariffs involves designing rate structures that recover the utility's allowed revenue requirement while creating customer price signals that align usage with grid cost drivers. New tariff products including time-of-use rates, EV charging rates, and demand response programs require PUC approval through formal proceedings where AES presents the tariff design, customer impact analysis, and revenue adequacy evidence for regulatory review.
What is Fluence and how does it relate to AES's battery storage product management?
Fluence is a grid-scale energy storage technology company that AES and Siemens formed as a joint venture. Fluence provides battery storage systems and digital intelligence software for grid applications including renewable energy integration, frequency regulation, capacity replacement, and peak demand reduction. AES's equity position in Fluence gives it access to battery storage technology that supports AES Clean Energy's storage project development and creates product management coordination between AES Clean Energy's storage project pipeline and Fluence's equipment and software product roadmap.
What does distributed energy resource product development involve at AES?
AES develops behind-the-meter distributed energy resource products for commercial and industrial customers who want to reduce their electricity costs, increase their energy resilience, or demonstrate corporate sustainability commitments. These products typically combine on-site solar generation with battery storage to reduce peak demand charges, provide backup power during utility outages, and in some cases participate in demand response programs that provide additional revenue. Product development requires understanding the utility tariff constraints governing customer-sited generation interconnection, the economics of demand charge reduction for specific customer load profiles, and the financing structures that make the products economically accessible to customers without large capital budgets.
How does time-of-use rate design benefit AES's grid operations?
Time-of-use rates charge customers higher prices during peak demand periods and lower prices during off-peak periods, creating financial incentives that encourage customers to shift flexible loads from peak to off-peak hours. From AES Indiana's and AES Ohio's operational perspective, peak demand reduction through TOU rate incentives reduces the need for expensive peak capacity and transmission investment, potentially reducing long-term infrastructure costs that would otherwise be recovered through rate increases. TOU rates also enable electric vehicle charging programs that can manage when EVs charge to align with periods of low grid demand and available renewable generation, supporting both decarbonization and grid reliability objectives.
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