Cypress Creek Renewables

Cypress Creek Renewables

AI Product Manager (Renewable Energy)

Durham, NC · Exec

Sponsorship not specifiedDetected 91 days ago
PythonSnowflakeAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnSparkAirflowdbtData AnalysisData EngineeringData ScienceNLPComputer VisionLLMsRAGProduct ManagementProduct StrategyProject ManagementProcurement

About the role

  • Cypress Creek Energy is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us.
  • Cypress Creek Energy is seeking an experienced AI Product Manager / Engineer to drive the development and deployment of artificial intelligence and machine learning solutions across our solar project development lifecycle. This is a high-impact, cross-functional role sitting at the intersection of renewable energy domain expertise and advanced technology.

Responsibilities

  • Build and maintain stakeholder alignment across development, engineering, finance, and legal teams.
  • Lead development of AI-driven site screening and scoring tools that evaluate land availability, solar irradiance, transmission proximity, environmental constraints, and permitting risk.
  • Build predictive models for site feasibility scoring that reduce manual assessment time and improve go/no-go decision quality.
  • Develop AI tools to model and forecast interconnection queue positions, study timelines, and upgrade cost scenarios across MISO, PJM, CAISO, ERCOT, and other ISOs/RTOs.
  • Build automated monitoring systems for regulatory queue changes, FERC Order compliance, and interconnection agreement milestones.
  • Apply NLP and document intelligence to process study results, interconnection agreements, and utility correspondence at scale.

Requirements

  • Renewable Energy Domain Expertise
  • 7+ years of direct experience in solar energy, with significant time spent in the development phase of utility-scale projects.
  • Comfort working with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure (Snowflake, dbt, Spark, Airflow).
  • ability to present complex technical concepts to non-technical stakeholders, including C-suite.
  • Experience working in or alongside development, engineering, or project finance teams at an IPP, developer, or EPC firm.
  • This is a high-impact, cross-functional role sitting at the intersection of renewable energy domain expertise and advanced technology.

Nice to have

  • Master's degree or PhD in Computer Science, Data Science, Electrical Engineering, Environmental Science, or a related field.
  • Familiarity with FERC regulations, NERC standards, and state-level renewable energy policy frameworks.
  • Background in power flow modeling or transmission planning tools (PSS/E, PowerWorld, PSCAD).
  • Experience with project management platforms such as Procore, Oracle Primavera, or similar construction management tools.
  • Hands-on experience navigating interconnection processes with one or more ISOs/RTOs (MISO, PJM, CAISO, SPP, ERCOT, NYISO, or Southeast utilities).
  • Working knowledge of EPC contract structures, lump-sum vs. 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.

Benefits

  • 15 days of Paid Time Off, accrual up to 20 days, 11 observed holidays.
  • Comprehensive package including medical, dental, vision and health insurance
  • Wellness stipend, family planning stipend, and generous parental leave
  • Tuition Reimbursement
  • Phone Bill Reimbursement
  • Define and own the AI product roadmap aligned with CCRenew's solar development pipeline strategy and CTO vision.
  • Identify opportunities to apply machine learning, computer vision, geospatial AI, and predictive analytics across the development lifecycle.

Company info

  • Any unsolicited resumes will be considered property of CCR and we are not responsible for any related fees.
  • We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.

Equal opportunity

  • equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
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