Rhythm Energy
Manager, Structuring
US
Sponsorship not specifiedDetected 23 hours ago
SQLSnowflakeDatabricksData EngineeringData ScienceProject ManagementForecastingLeadershipCommunicationCollaborationRenewable Energy
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PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- This role sits within our Commercialization Strategy team and serves as the commercial bridge between Supply & Trading, Sales, Risk, Finance, Data Engineering, and Data Science.
- This is a highly analytical role for someone who enjoys solving complex commercial problems at the intersection of energy markets, pricing strategy, and data.
Responsibilities
- Lead the pricing and structuring of customized Commercial & Industrial (C&I) electricity products across ERCOT and Eastern U.S. markets.
- Build pricing strategies that appropriately balance customer competitiveness, wholesale market risk, and gross margin objectives.
- Develop and maintain pricing models for customized C&I opportunities and broker matrix pricing.
- Partner closely with Sales and Commercial teams to support complex customer opportunities.
- Maintain tariff-based cost curves and ensure pricing models accurately reflect current wholesale market conditions.
- Partner with Supply & Trading, Middle Office, Finance, Operations, and Technology to ensure pricing assumptions remain accurate and transparent.
- Collaborate with Data Engineering and Data Science to improve pricing models, reporting, and profitability analysis.
- Support development of commercial reporting, including gross margin analysis and mark-to-market performance.
Requirements
- 5+ years of experience in electricity or natural gas markets with increasing responsibility in pricing, structuring, or commercial strategy.
- 3+ years of experience pricing Commercial & Industrial electricity contracts.
- Strong understanding of wholesale market fundamentals, retail pricing, tariff structures, and market risk.
Nice to have
- Experience with PJM, ISO-NE, or NYISO markets.
- Experience using SQL for data analysis.
- Familiarity with Databricks, Snowflake, or modern BI platforms.
- Experience applying AI tools to pricing analysis or workflow automation.
- Background in engineering, mathematics, economics, finance, or data science.
- What Success Looks Like
- Within your first 12-18 months, success in this role will look like:
- Pricing recommendations appropriately balance competitiveness, profitability, and wholesale market risk.
Company info
- We offer competitive pay, annual performance bonuses, unlimited PTO, premium medical coverage, and a flexible remote work environment.
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