AI Product Manager Renewable Energy
Cypress Creek RenewablesDurham, North Carolina
Full Time
Posted April 6, 2026
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Job Description
The role involves leading the development and deployment of AI and machine learning solutions to optimize various aspects of solar project development, including site selection, interconnection, procurement, construction monitoring, and project controls, in a renewable energy company.
Key Responsibilities
- Define and own the AI product roadmap aligned with solar development strategies.
- Develop AI-driven site screening, scoring, and feasibility models using geospatial data.
- Create AI tools to model and forecast interconnection queue positions, timelines, and costs.
- Design AI-powered tools for EPC bid analysis, contract risk scoring, and subcontractor benchmarking.
- Build AI solutions for real-time construction progress tracking and schedule risk prediction.
- Architect and engineer ML pipelines, data ingestion, and deployment infrastructure.
- Partner with engineering teams to ensure reliability, scalability, and security of AI systems.
Requirements
- 7 years of direct experience in solar energy, with significant time spent in the development phase of utility-scale projects, including site control, permitting, interconnection, EPC procurement, construction, and commercial operations.
- Hands-on experience navigating interconnection processes with one or more ISOs RTOs such as MISO, PJM, CAISO, SPP, ERCOT, NYISO, or Southeast utilities.
- Working knowledge of EPC contract structures, including lump-sum versus cost-plus arrangements, LD provisions, and construction risk allocation.
- Understanding of solar site selection criteria including GHI DNI analysis, land use constraints, transmission access, and environmental review processes.
- Proven track record delivering AI or ML products from concept through production deployment.
- Proficiency in Python and familiarity with core ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
- Experience with geospatial data analysis tools such as GeoPandas, QGIS, ArcGIS, Google Earth Engine, or equivalent.
- Familiarity with Large Language Model (LLM) application development, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures for document intelligence use cases.
- Experience working with cloud platforms such as AWS, Azure, or GCP, and modern data infrastructure including Snowflake, dbt, Spark, and Airflow.
- Ability to own a product roadmap and drive delivery in a fast-paced, cross-functional environment.
- Strong written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders, including C-suite executives.
- Experience working in or alongside development, engineering, or project finance teams at an Independent Power Producer (IPP), developer, or EPC firm.
Benefits & Perks
15 days of Paid Time Off, accrual up to 20 days
11 observed holidays
401 k Match
Comprehensive medical, dental, and vision insurance
Health insurance
Wellness stipend
Family planning stipend
Generous parental leave
Tuition Reimbursement
Phone Bill Reimbursement
Company Swag
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