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San Francisco, California, United States
Hybrid
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We are hiring an Energy Scheduling & Portfolio Lead to own energy availability across Anthropic's non-cloud data center portfolio: contracted and available energy against planned compute, and the risk to it. This one central scheduling and portfolio role holds the live view of energy availability risk and energy availability need for workload management. You will be our counterpart to the LSEs, QSEs, scheduling coordinators, and suppliers in electricity and gas markets across jurisdictions; forecasting is an instrument of that view. You schedule and manage physical energy delivery — not financial instruments — including how much gas the portfolio needs to schedule, and keep energy supply and the workload plan in step with workload and site planning, energy origination, and data center operations. ESA counterparties operate the behind-the-meter plants; you manage their performance and our exposure. This role will also build processes and structures to ultimately support asset management across our energy portfolio. You are this function's first dedicated owner and will build its models and processes from zero.
Responsibilities:
Own the live view of energy availability risk and need: contracted, available, and committed energy and capacity at each site against planned load and ramp, by month and by hour where it matters; keep it current as deals sign, sites come online, and plans change, and close gaps and use surpluses with workload and site planning and energy origination.
Be the operational counterpart to our LSEs, QSEs, scheduling coordinators, and retail and wholesale suppliers in domestic ISO/RTOs, including ERCOT, and international power markets, and manage our participation in utility and ISO market programs.
Predict and track curtailment (utility, ISO, fuel, equipment, and contract-driven) for each site, and navigate shortage pricing and reliability events: ISO scarcity pricing, emergency procedures, conservation calls, and the notification and performance obligations under each ESA, PPA, utility agreement, and market program; coordinate the load response with site operations and workload planning, and track performance, compensation, and cost.
Oversee the portfolio's contracted or tariff-based load-flexibility capability and the contribution of this capability to Anthropic's ratepayer-protection commitment: curtailment and demand-response participation, flexible-interconnection and non-firm service commitments to utilities and ISOs, and the site-level playbooks for each; work with workload planning on what the compute can actually flex, and commit only where the workload plan supports it.
For the first operating sites, manage counterparty performance and Anthropic's exposure under the ESAs: outage notices, availability guarantees, liquidated damages, dispatch coordination, and the reporting behind them. Know the ESAs and utility load agreements we sign well enough to operate their scheduling, curtailment, availability, flexibility, and ratepayer-protection terms, and partner with legal and energy origination so new agreements are operable.
Determine how much gas the portfolio needs to schedule and build the portfolio's gas scheduling strategy for gas-fired behind-the-meter supply, nominations, hub and index pricing, pipeline capacity and constraints, and work through gas-plant outages and their effect on site availability, including by building relationships with external commodity partners.
Build Anthropic's energy forecasting as an instrument of the availability-risk view: consumption per site from the workload plan, site design, and ramp, and cost against ESA and PPA terms, market and natural gas prices, as the monthly and annual outputs the team and Finance need, including exposure to index-priced volume and the inputs energy origination needs to size new supply. Supply the energy-side inputs and checks that let Finance, Accounting, and Procurement Ops reconcile invoices and settlements against ESA, PPA, and tariff terms and explain the variance; this role will collaborate heavily with energy finance but will not have primary responsibility for financial management of the energy portfolio — the physical position is yours. Track the market information that moves our position — ISO/RTO prices, scarcity and reliability conditions, gas hub prices, ancillary and capacity costs, and tariff, interconnection, and market rule changes — and reflect it in the view.
Work cross-functionally: with energy finance on the financial management of the portfolio, with data center operations on site load, flexibility, and outages, and with other internal teams — workload and site planning, engineering and design, legal, procurement — so the energy position and the physical reality of each site stay aligned. Build and own the processes, data, and tooling for all of the above; partner with engineering and site operations on metering, telemetry, and load data so the availability view, forecasts, and settlements rest on measured consumption.
Have 8+ years in energy markets, power scheduling, energy procurement, or utility / retail energy operations, including hands-on work with scheduling and settlement review in ERCOT, PJM, NYISO, MISO, or another ISO/RTO market.
Have worked at or directly with an LSE, QSE, scheduling coordinator, retail energy provider, or load-management desk, and know day-ahead and real-time scheduling, settlements, and curtailment / demand-response programs from the inside.
Read ESAs, PPAs, and utility large-load interconnection and service agreements fluently enough to operate their scheduling, availability, curtailment, and pricing terms and to model the exposure they create.
Can predict curtailment for a large load and navigate shortage pricing and reliability events — ISO scarcity pricing, emergency procedures, conservation calls — from experience, not from the rulebook.
Understand gas scheduling — nominations, hub pricing, pipeline constraints — and have worked through gas-fired plant outages and their effect on served load.
Have designed or operated load flexibility for a large load — curtailment, demand response, non-firm or flexible interconnection — and understand the large-load tariff provisions that protect other ratepayers (minimum demand charges, cost allocation, exit and stranded-cost provisions, study and collateral requirements) and how a load operates within them.
Have built or run energy consumption and cost forecasts for large loads — data centers, industrials, or a retail / wholesale portfolio — and can tie a forecast to contract terms and market prices.
Coordinate well across teams that do not report to you — workload planning, site operations, finance, legal, origination — and can give a clear picture of where energy availability stands against need and where it is at risk.
Have stood up a scheduling, portfolio, or operations function from scratch and built the models and processes it runs on.
Possess a bachelor's degree in a relevant domain (e.g., engineering, economics, energy, finance, data science) or equivalent practical experience.
Experience with data center or other large, fast-ramping load in ERCOT, PJM, NYISO, MISO, or another ISO/RTO market.
Experience with behind-the-meter, islanded, or bridge-power configurations and how they schedule and settle differently from grid-served load, including managing counterparty performance under an ESA or tolling agreement — availability guarantees, outage reporting, liquidated damages, dispatch coordination.
Familiarity with hedging and risk management of energy cost — fixed-price, index, shaped, and block products — and with how hedges sit against physical consumption, enough to work fluently with Finance on it.
Familiarity with natural gas markets and hub pricing, with an emphasis on physical scheduling at regional basis hubs, gas-price indices, pipeline nominations and capacity.
Experience with energy data and metering systems, interval data, and building forecasting models from them.
Exposure to the regulatory and public-affairs side of large-load service — large-load tariff proceedings, interconnection rulemakings, or utility rate cases — and to utility and ISO demand-response, curtailment, and flexible-interconnection programs.
Prior experience standing up an operations or analytics function in a growing team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
