Energy Origination and Risk Management Specialist
Job Description
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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
If you'd like to build the world's best AI cloud, join us.
What You'll Do
Originate Energy Agreements: Lead origination of PPAs, utility interconnection agreements, and energy supply contracts; experience in a data center context strongly preferred.
Build the Investment Case: Develop LCOE and NPV/IRR analyses comparing utility (typically $1Mโ$3M guarantee), hybrid, and islanded (~$300K credit support) power strategies to inform site and structure decisions.
Own Hedging Strategy: Evaluate and execute power and fuel price hedges that directly de-risk and support GPU financing.
Structure the Instruments: Work across fixed-price contracts, heat rate call options, financial swaps, basis swaps, and NYMEX and OTC gas to manage price exposure.
Manage Demand Charge Risk: Model peak demand exposure and identify tariff, demand response, or BESS strategies to reduce cost.
Forecast Energy Costs: Produce site-level energy cost forecasts at acquisition using tariff structures and market price curves.
Lead Negotiations: Negotiate directly with utilities, Solaris, VoltaGrid, and fuel suppliers on commercial and technical terms.
Track the Market: Maintain working knowledge of RTO/ISO processes, tariff structures, state regulatory risk, and broader energy market dynamics.
You
Background: Meaningful experience in energy origination, commodity/power trading, or utility-scale power markets, with direct exposure to contract negotiation and deal execution.
Analytical Rigor: Comfortable building and pressure-testing LCOE, NPV, and IRR models comparing competing power supply strategies.
Hedging Experience: Hands-on experience evaluating or executing power and gas hedges (swaps, options, NYMEX/OTC); prior experience holding commodity risk is a strong plus.
Communication Skills: Able to negotiate directly with utilities and counterparties, and to translate complex risk and financial analysis for senior leadership.
Nice to Have
Prior experience procuring or structuring power for data centers, hyperscale, or other large industrial/AI infrastructure loads.
Working familiarity with RTO/ISO markets (ERCOT, PJM, MISO, CAISO, SPP, etc.) and their tariff and settlement structures.
Exposure to project or asset financing where power costs and hedges are a driver of the financing structure (e.g., GPU or infrastructure financing).
Background at a utility, energy trading desk, IPP, data center developer, or commodity risk management group.
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Lambda
View Company ProfileLambda (operating under lambda.ai, formerly Lambda Labs) is the premier, enterprise-grade AI computing platform, modular AI factory pioneer, and GPU infrastructure powerhouse engineered to operate as the definitive, high-velocity compute backbone for the worldโs most advanced AI research labs, engineering teams, and superintelligence initiatives. Founded in 2012 by ML engineers, the company completely eliminates the severe systemic friction of modern AI trainingโwhere high-performance model development is often throttled by limited GPU accessibility, complex cluster orchestration, and inefficient interconnect bottlenecksโby deploying an advanced, purpose-built AI factory matrix. Moving far beyond traditional, general-purpose cloud providers, Lambda natively unifies high-density, liquid-cooled, and InfiniBand-interconnected GPU compute infrastructure with a curated, AI-optimized software stack (Lambda Stack). The ecosystem offers a tiered deployment model: on-demand GPU instances for rapid prototyping, \"1-Click Clusters\" for production-ready model training (16 to 2,000+ NVIDIA B200 or H100 GPUs), and bespoke \"Superclusters\" (4,000 to 165,000+ GPUs) designed for foundation model training at gigawatt scale. Trusted by 97% of top U.S. research universities and a massive global footprint of enterprise AI developers, Lambdaโs infrastructure is explicitly tuned for PyTorch, TensorFlow, and JAX workloads. Backed by $480M+ in Series D funding and recognized as a key NVIDIA partner for healthcare and supercomputing, the organization maintains a strict \"AI-only\" engineering focus, providing 24/7 technical support specifically centered on resolving complex ML cluster performance, networking, and throughput issues. What sets Lambda apart is its uncompromising dedication to replacing complex, fragmented infrastructure management with absolute compute accessibility and performance predictability; by bridging the gap between mission-critical hardware engineering and the rapid-fire requirements of AI reasoning and generation, the enterprise remains the definitive, category-defining cornerstone of modern algorithmic supercomputing and worldwide AI transformation.
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