<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><b>The Role:</b></div><div><br></div><div>As an Infrastructure Software Engineer, you'll be instrumental in developing cutting-edge solutions for the clean energy sector. Your work will involve a diverse and modern tech stack, including Python, Go, React, Postgres, BigQuery, and Kubernetes in the cloud. You'll contribute to various projects, from building tools for battery storage, helping onboarding new batteries, and developing our core infrastructure. Additionally, you'll be responsible for ensuring system reliability, security, and observability with the team, as well as productionizing new features and tools.</div><br><br><h3>What you might work on:</h3><ul><li>Building new API services to grow our uniquely challenging gridscale battery capabilities</li><li>Writing infrastructure-as-code (e.g. Terraform) to harden and scale our cloud environment - this is a work progress for us, and we’d love your help and skills to get from 50% to 90% </li><li>Observability: we're just starting on this as a focus, and there's a huge opportunity for growth as we try to uplevel everything all at once (metrics, logging, tracing, alerting, even security-focused goals like detection and response)</li><li>Creating internal tooling to support our production environment and help enable our engineers to write more performant software with ease with new libraries</li></ul><h3>You might be a good fit if you:</h3><ul><li>3+ years of software engineering</li><li>A proven track record of building and shipping production-grade software (i.e. with a focus on reliability, performance, scale, managing distributed systems, etc.)</li><li>Solid programming experience: you’ll work mostly in Python and Go, but we care more about your general engineering skills than your knowledge of a specific language.</li><li>Working familiarity with major cloud providers, such as GCP, Azure, or AWS (we primarily use GCP, so that particular experience would be a bonus)</li><li>Exposure to infrastructure-as-code tooling such as Terraform, Pulumi, or Amazon Cloud Formation</li><li>Have experience with owning the full lifecycle of software, from design, test, deployment, and production support</li></ul><h3>Not required, but would be great if you also had experience with:</h3><ul><li>Managing Linux/Unix-based systems</li><li>Containerization: Kubernetes (GKE, EKS, AKS), ECS, cloudrun, docker, podman </li><li>CI/CD Build pipelines and release processes</li><li>IoT or On Premise Devices</li><li>An interest in security, reliability, and operations</li></ul><br><div><b>FAQ</b></div><div>What’s your policy on remote work?</div><div>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.</div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Infrastructure 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:16px;">The Role:</b></div><div>We are looking for a Bookkeeper who will manage Gridmatic’s ERP and vendor payment software and will prepare financial records of at least two legal entities.  They will be responsible for a wide range of accounting tasks, including accounts payable, accounts receivable, and general ledger. </div><div><br></div><div>We are looking for a highly motivated individual with strong analytical and problem-solving skills. The ideal candidate will be proficient with software like Microsoft and Google suites including excel, word, and presentation tools like powerpoint, and have the ability to quickly learn new financial software. Excellent communication and teamwork skills are essential, as you will be collaborating with various departments within the organization. A self-starter with a strong work ethic and attention to detail will thrive in this role. You should be able to multi-task and prioritize tasks effectively to meet deadlines.</div><br><br><h3>What you might work on</h3><ul><li>Record and maintain a company's daily financial transactions in QuickBooksOnline</li><li>Prepare consolidated GAAP financials of the Parent and Affiliated entity</li><li>Document financial transaction details,  monitor and reconcile daily and monthly transactions in QBO</li><li>Assist Finance &amp; Accounting group in paying and managing vendor payments and their tax records, prepare year-1099 filings and payments, prepare and record sales invoices and reconcile bank accounts</li><li>Process and maintain aging accounts payable and accounts receivable</li><li>Process, match and/or reconcile payroll JE in QBO linked to PEO system</li></ul><h3>You might be a good fit if you:</h3><ul><li>Experience in QuickBooksOnline (QBO) or <a href="http://Bill.com">Bill.com</a></li><li>2-3 years of relevant bookkeeping experience</li><li>Basic understanding of the GAAP financial statements</li><li>Knowledge of financial reporting standards; tax and industry regulations a plus</li><li>Associate or Bachelors in Accounting, accounting or similar; CPA is a plus but not required</li></ul><br><div><b style="font-size:16px;">FAQ</b></div><div><b>What’s your policy on remote work?</b></div><div>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.</div><div><br></div><div>Direct applications interested in full-time only, please.</div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Bookkeeping

<div>Gridmatic is seeking a highly motivated and detail-oriented professional to join our team as Vice President of Retail Operations. The ideal candidate will bring expertise in managing Commercial &amp; Industrial (C&amp;I) customers, deep knowledge of regulatory compliance within ERCOT and PJM markets, and a strong track record in strategic planning and execution. This role demands strong analytical skills, excellent communication, and the ability to collaborate with cross-functional teams to drive operational improvements.</div><br><br><h3>Responsibilities</h3><ul><li>Define the customer experience and internal workflow for all C&amp;I customers; lead the Operations team to cover the functional areas of enrollment, adds/drops, billing, commissions, and customer service.</li><li>	Oversee and support complex billing processes for large and flexible load customers.</li><li>	Maintain oversight of commissions plans and provide support as needed.</li><li>Lead regulatory initiatives, including staying informed on PUC/FERC developments, preparing filings, and submitting annual reports.</li><li>Develop and formulate strategies to address current and future customer needs and market demands.</li><li>Draft and review customer agreements, legal documents, and ad hoc contracts as required to support business operations.</li><li>Collaborate closely with Supply, Sales, and Accounting to achieve company objectives.</li></ul><h3>Skills &amp; Qualifications</h3><ul><li>Proven experience working with Commercial &amp; Industrial (C&amp;I) customers with at least 10 years of experience in the retail electricity markets.</li><li>Extensive experience in ERCOT and PJM markets.</li><li>In-depth knowledge of energy industry standards and regulatory requirements.</li><li>Strong analytical and problem-solving abilities.</li><li>Excellent time management and organizational skills, with the ability to prioritize in high-pressure, multi-tasking environments.</li><li>Self-starter with the ability to work independently in a dynamic start-up environment.</li><li>Skilled at assessing and recommending improvements to streamline operational processes.</li></ul><br>

VP of Retail Operations

<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><span style="font-size:16px;">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.</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 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 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 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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