<p>Gridmatic Inc. is a high-growth ClimateTech startup based in the San Francisco Bay Area that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has 6 years of profitable growth without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We are environmentally and data-driven, with a growth-oriented mindset and we value integrity as much as excellence.</p>

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Accelerating the clean energy transition through data and machine learning for greener power markets.

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><span style="font-size:16px;">We are looking for an Optimization Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of mathematical optimization methods, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new approaches to optimization problems we are currently solving, as well as designing optimization formulations for problems we don't yet solve. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.</span></div><br><br><h3>What you might work on:</h3><ul><li>Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.</li><li>Keep abreast of latest advances in optimization research in order to consider if any new methods are especially promising for problems in the electricity market space.</li><li>Design and analyze optimization formulations for problems arising in battery operations, energy trading, and other business areas.</li><li>Promote optimization based decision making and mathematical modeling across the company.</li><li>Author research papers in the fields of optimization, operations research, and decision making under uncertainty.</li><li>Write and review code, with attention to performance and readability.</li></ul><h3>You might be a good fit if you:</h3><ul><li>have a strong publication record demonstrating expertise in mathematical optimization.</li><li>have earned a PhD in applied mathematics, operations research, or a related quantitative field.</li><li>have deep knowledge of optimization techniques, particularly for convex optimization problems. </li><li>show proven experience researching and applying optimization techniques.</li><li>are able to write robust code in Python.</li><li>are familiar with optimization libraries like CVXPY. </li><li>have outstanding analytical and problem-solving skills. </li><li>have excellent mentorship, communication, and teamwork skills. </li><li>have enthusiasm for learning. Knowledge of the energy industry a strong plus.</li><div><br></div><div>We recognize some candidates may hesitate to apply if they do not have all the listed skills. We encourage interested individuals to apply if they have relevant skills even if they do not have experience in every listed area.</div></ul><br><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Optimization Research Scientist

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><span style="font-size:11pt;">We are seeking a talented and highly motivated Manager, Portfolio Management with experience analyzing risks in a retail power portfolio and taking actions to mitigate those risks . This is a full time position that offers the flexibility of hybrid work. As a Manager, Portfolio Management, you will play a pivotal role within our organization, responsible for accurately assessing and managing the risks of delivering electricity to C&amp;I end users.  This dynamic and fast-paced position involves working with a multi-functional team, building tools to manage workflows and measure outcomes, and ensuring the realized value of the portfolio is consistent with how it is priced to the end-use customers. The ideal candidate will have extensive experience in analyzing and hedging risks via market instruments. If you are detail and execution oriented, we want to hear from you.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Position Management: Work with existing systems and build tools to effectively track commodity risk positions on a daily basis.</li><li>Hedge Execution: Evaluate exposures and work with external counterparties to execute forward/futures instruments to mitigate portfolio risks.</li><li>Support Complex Sales: Work with the sales team to structure and transact on large complex deals in the commercial and industrial electricity space.  </li><li>Ad Hoc Duties: Perform other duties as assigned to contribute to the success of the Retail team and Gridmatic as a whole.</li></ul><h3>Qualifications:</h3><ul><li>Minimum 5 years of commercial work experience in the power markets in the U.S., preferably ERCOT and/or PJM.</li><li>Knowledge of power and environmental products markets. Understanding of relevant RTO’s or bi-lateral market concepts.</li><li>Able to work in a face paced environment that includes executing trades with external counterparties to hedge risk. </li><li>Must be self-motivated and capable of setting and executing strategy to accomplish goals. </li><li>Experience working to and exceeding targets. </li><li>Some travel required to interface with customers. </li></ul><br><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Manager, Portfolio Management - Retail Power

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div><br></div><div>We’re looking for a full-stack engineer to help drive Gridmatic’s initiative to transform the way companies decarbonize their energy supply. Gridmatic’s fast-growing energy business uses long-term ML forecasting to sign energy supply contracts with commercial and industrial customers.</div><div><br></div><div>You’d be responsible for building the end-to-end platform to help make this possible. You’d be working closely with the Cupertino-based ML team on how to integrate their long-term forecasting, as well as the Houston-based team to help scale up the business.</div><div><br></div><div>We seek strong builders who can take products from zero to one and can think deeply about business needs. You’d be working across the stack with Python, React, Postgres, BigQuery, Kubernetes, and GCP. You’ll be helping us build industry-first innovations to the clean energy space.</div><br><br><h3>What you might work on</h3><ul><li>Building the web frontend for customers to visualize and analyze their clean energy usage</li><li>Building internal tools to allow us to do complex energy contract pricing based on AI forecasting</li><li>Building the data infrastructure to allow us to balance our clean energy resources against customer usage</li></ul><h3>You might be a good fit if you:</h3><ul><li>Have 5+ years of software engineering experience</li><li>Have previous startup work experience</li><li>Have built new products from scratch, from spec to design and implementation</li><li>Are very comfortable in both backend and frontend work</li><li>Are proficient in building scalable web applications on cloud infrastructure</li><li>Are proficient working with relational databases and data warehouses</li><li>Have worked with Python/React, or similar technologies</li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Senior Fullstack Software Engineer

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div><br></div><div>We’re looking for a full-stack engineer to help drive Gridmatic’s initiative to transform the way companies decarbonize their energy supply. Gridmatic’s fast-growing energy business uses long-term ML forecasting to sign energy supply contracts with commercial and industrial customers.</div><div><br></div><div>You’d be responsible for building the end-to-end platform to help make this possible. You’d be working closely with the Cupertino-based ML team on how to integrate their long-term forecasting, as well as the Houston-based team to help scale up the business.</div><div><br></div><div>We seek strong builders who can take products from zero to one and can think deeply about business needs. You’d be working across the stack with Python, React, Postgres, BigQuery, Kubernetes, and GCP. You’ll be helping us build industry-first innovations to the clean energy space.</div><br><br><h3>What you might work on</h3><ul><li>Building the web frontend for customers to visualize and analyze their clean energy usage</li><li>Building internal tools to allow us to do complex energy contract pricing based on AI forecasting</li><li>Building the data infrastructure to allow us to balance our clean energy resources against customer usage</li></ul><h3>You might be a good fit if you:</h3><ul><li>Have 3+ years of software engineering experience</li><li>Have previous startup work experience</li><li>Have built new products from scratch, from spec to design and implementation</li><li>Are very comfortable in both backend and frontend work</li><li>Are proficient in building scalable web applications on cloud infrastructure</li><li>Are proficient working with relational databases and data warehouses</li><li>Have worked with Python/React, or similar technologies</li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Fullstack Software Engineer

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div>We are looking for an AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.</div><br><br><h3>What you might work on</h3><ul><li>Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.</li><li>Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space.</li><li>Generalize and unify problem frameworks across electricity markets.</li><li>Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team</li><li>Applying cutting edge ML techniques to problems in the energy space.</li><li>Promote probabilistic thinking and rigor in statistical testing across the company.</li><li>Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty.</li><li>Write, optimize and review code, with attention to performance and readability.</li></ul><h3>You might be a good fit if you:</h3><ul><li>have a strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues.</li><li>have earned a PhD in ML, statistics or related quantitative modeling field.</li><li>have deep knowledge of math, probability, statistics and algorithms. </li><li>show proven experience researching and implementing relevant machine learning models.</li><li>are able to write robust code in Python.</li><li>are familiar with ML frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn). </li><li>have outstanding analytical and problem-solving skills. </li><li>have excellent mentorship, communication, and teamwork skills. </li><li>have enthusiasm for learning. Knowledge of the energy industry a strong plus.</li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

AI Research Scientist

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><span style="font-size:11pt;">Gridmatic is looking for a Staff Engineer with minimum 7 years of full-time experience to join the engineering team, and oversee initiatives developing and scaling our AI-enabled trading and power marketing platform. This role is ideal for the candidate who has strong coding knowledge and experience managing engineers working on machine learning and infrastructure. Knowledge of the energy industry and experience at high-growth startups are pluses. </span></div><br><br><h3>What you might work on</h3><ul><li>Collaborate with the CEO to oversee engineering efforts to support Gridmatic growth.</li><li>Provide technical leadership for various projects.</li><li>Act as both an individual contributor and manager of ML engineers and SWEs.</li><li>Mentor and guide engineers.</li></ul><h3>You might be a good fit if you:</h3><ul><li>have 7+ years’ experience as a Tech Lead or Engineering Manager. </li><li>understand machine-learning and have experience working with ML engineers.</li><li>have full stack experience with a focus on back-end.</li><li>have problem-solving aptitude.</li><li>are an excellent communicator and presenter.</li><li>Have a BSc/BA in Computer Science or relevant field; graduate degree is preferred.</li><li>are comfortable working in a research-oriented group with several ongoing concurrent projects. </li><li>have knowledge of the energy industry, or are eager to learn about it. </li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Staff Engineer

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div>We are looking for a Senior AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.</div><br><br><h3>What you might work on</h3><ul><li>Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.</li><li>Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space.</li><li>Generalize and unify problem frameworks across electricity markets.</li><li>Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team</li><li>Applying cutting edge ML techniques to problems in the energy space.</li><li>Promote probabilistic thinking and rigor in statistical testing across the company.</li><li>Mentor machine learning engineers on modeling and communication of results (including for publication)</li><li>Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty.</li><li>Write, optimize and review code, with attention to performance and readability.</li></ul><h3>You might be a good fit if you:</h3><ul><li>have at least 5 years of experience conducting (basic or applied) ML research.</li><li>have a strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues.</li><li>have earned a PhD in ML, statistics or related quantitative modeling field.</li><li>have deep knowledge of math, probability, statistics and algorithms. </li><li>show proven experience researching and implementing relevant machine learning models.</li><li>are able to write robust code in Python.</li><li>are familiar with ML frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn). </li><li>have outstanding analytical and problem-solving skills. </li><li>have excellent mentorship, communication, and teamwork skills. </li><li>have enthusiasm for learning. Knowledge of the energy industry a strong plus.</li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

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