Analyze RFPs and identify technical, compliance, and performance requirements
Develop detailed technical response narratives
Own architecture diagrams, system workflows, telemetry, and M&V sections
Ensure alignment with market rules and baseline methodologies
Run simulations to estimate:
Available MW capacity 8,760 hours per year
Dispatch performance
Revenue potential (best case / worst case)
Along with partner manager, model enrollment scenarios (residential, various categories of C&I)
Support firm vs non-firm dispatch modeling
Interpret ISO/RTO rules around M&V and ISO DA/RT pricing
Model X-in-Y baselines, day-of adjustments, and M&V impacts
Evaluate performance risk under different weather and load scenarios
Understand utility-specific systems and interactions with each
Work with engineering to validate feasibility
Quantify:
Capacity guarantees
Performance risk
Expected revenue
Support pricing strategy with simulation-backed assumptions
Participate in customer technical workshops and presentations
Requirements
A Master’s or Bachelor’s degree in a technical/quantitative field
5–10+ years in energy markets, DER aggregation, demand response, or VPPs
Strong understanding of:
Utility RFP processes
ISO/RTO market structures
Demand response program design
M&V methodologies
Technical understanding of overall electric operations systems, including electric power systems, distribution automation, and distributed control systems and communications
Experience running simulations (Python, MATLAB, R, or energy modeling tools)
Ability to read tariffs and market manuals and translate them into technical requirements
Strong technical writing skills in English (ability to produce 40+ page RFP responses with the help of AI tools).
Tech Stack
Python
Benefits
Medical insurance
Vision insurance
Dental insurance
Employer paid life insurance, AD&D, and disability insurance