---
title: 'Energy Origination & Hedging Manager at Lambda'
canonical: 'https://feeny.ai/job/energy-origination-hedging-manager-lambda-united-states-aqmgx711dkm3'
type: 'job'
last_seen: '2026-09-06'
---

# Energy Origination & Hedging Manager at Lambda

- **Company:** Lambda
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/2a67174b-317b-44e2-8cee-c108f61557ff

## Job description

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. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Originator with analyst and hedging experience. This is one of the most critical hires on the team: the role bridges commercial deal-making, quantitative analysis, and energy risk management in support of Lambda's data center growth. For the right candidate with commodity risk experience, hedging analysis can become a core, ongoing responsibility rather than an occasional task.

## 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 $1M–$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.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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