<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><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>We are looking for an Atmospheric Engineer to apply their deep expertise to directly influence our models and strategies, contributing to the clean energy transition. This is a hands-on, individual contributor role where you will leverage your scientific knowledge and engineering skills in a fast-moving, impactful startup environment. You will evaluate, and integrate complex atmospheric data and models into our prediction systems, which drive real-time energy trading and optimization decisions. You will join our ML team, eventually owning a portion of model development.</div><div><br></div><div><b style="font-size:18px;">What you might work on:</b></div><div><b>Research and develop &amp; Internal Weather Models:</b></div><div>- Participating in the R &amp; D process of building our internal weather modeling capabilities.</div><div>- Fine-tuning existing state-of-the-art AI models (e.g., based on GenCast, NeuralGCM)- .</div><div>- Post-processing existing SOTA AI forecasts to debias and recalibrate for our downstream power predictions.</div><div>- Incorporating and evaluating model changes, pushing the boundaries of how we forecast weather variables relevant to the energy sector.</div><div><br></div><div><b>Evaluating &amp; Integrating External Weather Products:</b></div><div>- Surveying and evaluating the suitability of various Numerical Weather Prediction (NWP) and commercially available AI weather forecast products for our power production and price models.</div><div>- Rigorously evaluating and monitoring the performance of integrated weather products, analyzing their impact across different regions, timeframes, and weather regimes. </div><div>- Working with external data providers (like NOAA) to define data requirements. Build, monitor, and maintain data ingestion pipelines.</div><div><br></div><div><b>Evaluating &amp; Running AI Weather Models In-house:</b></div><div>- Develop evolving metrics for AI weather models for our unique specifications.</div><div>- Optimize evaluation pipelines built with Cloud DataFlow</div><div>- Set up, run, and monitor SOTA AI weather forecasts on our GPU cluster.</div><div><br></div><div><b>Generic Time Series Modeling:</b></div><div>- You might also apply your modeling skills to improve generic time series models for power production or energy price forecasting, using ML libraries like PyTorch or JAX.</div><div><br></div><div><b>Across all workstreams, you will be expected to:</b></div><div>- Write and maintain significant Python code within a Git-based software development workflow.</div><div>- Continuously learn about grid power modeling and the intricacies of energy markets.</div><br><br><h3>You might be a good fit if you:</h3><ul><li>Have a degree in Atmospheric Science, Meteorology, or a closely related quantitative field.</li><li>Have experience working with atmospheric models (NWP and/or AI models) and large meteorological datasets.</li><li>Possess strong proficiency in Python programming.</li><li>Experience in Machine Learning.</li><li>Are comfortable working in a Linux environment and using Git for version control.</li><li>Have experience running computational jobs on clusters or cloud computing environments.</li><li>Have a demonstrated ability to analyze and interpret complex scientific data and model outputs.</li><li>Are an effective communicator, able to explain complex weather concepts to non-experts.</li><li>Are naturally curious and eager to learn about new domains, particularly energy systems and time-series modeling.</li><li>Thrive in a fast-paced, dynamic startup environment where priorities can evolve</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>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Atmospheric Engineer

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div>We're seeking a versatile and proactive Office Manager and Recruiting Coordinator to manage our day-to-day office operations and support our recruiting team. This dual role is perfect for someone who thrives in a fast-paced startup environment and enjoys wearing multiple hats. You'll be instrumental in maintaining a welcoming workplace culture while helping us attract and hire top talent.</div><div><br></div><div><span style="font-size:18px;">Recruiting Coordination (60%)</span></div><div><br></div><div>- Serve as primary point of contact for candidates throughout the interview process.</div><div>- Schedule interviews (virtual and in-person) across multiple time zones and complex calendars for all open roles.</div><div>- Maintain candidate pipeline visibility and update tracking systems daily.</div><div>- Manage candidate correspondence, ensuring timely and professional communication, focusing on positive candidate experience.</div><div>- Work with hiring managers to collect candidate feedback and manage Lever pipeline.</div><div>- Support recruiting team with data management for career fairs, conferences, and other external events.</div><div>- Be the primary point of contact with external recruiters.</div><div><br></div><div><span style="font-size:18px;">Office Management (30%)</span></div><div><br></div><div>- Serve as the primary point of contact for building management and service providers.</div><div>- Coordinate office maintenance, repairs, and improvements.</div><div>- Oversee daily office operations and facilities management, ensuring a welcoming and productive work environment.</div><div>- Act as the primary point of contact for employees on office-related issues.</div><div>- Assist with planning company offsites and events.</div><div>- Greet and welcome external guests and candidates.</div><div><br></div><div><span style="font-size:18px;">Administrative Support (10%)</span></div><div><br></div><div>- Assist executive team with calendar scheduling and other administrative tasks.</div><div>- Manage calendar invites for reoccurring company meetings.</div><br><br><h3>Qualifications</h3><ul><li>Ability to be on-site at our Cupertino office five days a week.</li><li>1+ year(s) experience working in a fast-paced environment, ideally at high-growth startups.</li><li>Strong organizational skills with ability to manage multiple priorities simultaneously.</li><li>Excellent written and verbal communication skills.</li><li>Strong attention to detail and problem-solving abilities.</li><li>Experience with applicant tracking systems (ATS) or similarly complex systems, we use Lever.</li><li>Bachelor's degree preferred or equivalent recruiting, HR, or relevant administrative work experience.</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 will ask you to be in office 5 days a week for this role. </span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Office Manager / Recruiting Coordinator

<div><b style="font-size:18px;">The Company:</b></div><div>Gridmatic is a startup trying to help decarbonize the grid by using deep learning to forecast energy prices. We believe better forecasting can have a real-world impact on energy and climate. As extreme weather events get more common, energy prices become increasingly volatile — for instance, in the Texas energy market, prices can go 50x higher than usual in extreme scenarios. When this happens, the ability to forecast these price spikes becomes increasingly important.</div><div><br></div><div>We use our machine learning (ML) forecasting and optimization to trade in energy markets, make large-scale battery storage systems more efficient, and sell energy to businesses to protect them from extreme price volatility. Our deep learning models have proven very successful in trading in energy markets, we’re successfully operating multiple large batteries (50MW+), and we now sell energy to hundreds of businesses.</div><div><br></div><div>We have a very strong team with significant expertise in ML, energy, and optimization. If you’re interested in working on complex real-world problems, large-scale data challenges, and applying ML to climate and energy, we’d love to talk to you.</div><div><br></div><div><b style="font-size:18px;">The Role:</b></div><div>We’re looking for an engineer to help lead the scaling and reliability of our data infrastructure, which is core to the ML work we do at Gridmatic.</div><div><br></div><div>Forecasting energy prices is challenging. We have very effective price forecasting models, but we’d like to go much further — scaling the amount of data we can use in our ML models by a factor of 10-100x by incorporating petabyte-scale weather data, increasing spatial granularity of our price forecasting, and more.</div><div><br></div><div>We’d also like someone who can tackle the challenge of scaling and improving reliability of our data platform. We deal with a lot of real-world problems when ingesting data from external sources — downtime, late-arriving data, changing schemas. Improving the reliability of our data pipelines will be critical to our ability to make an impact on the grid.</div><br><br><h3>What we’re looking for:</h3><ul><li>Experience building the infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, and Apache Beam.</li><li>Experience designing and implementing large-scale data storage systems (feature store, timeseries DBs) for ML use cases. Strong familiarity with relational databases, data warehouses, object storage, timeseries data, and being adept at DB schema design.</li><li>Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct. Have dealt with challenges like data versioning, point-in-time correctness, and evolving schemas.</li><li>Strong distributed systems and infrastructure skills. Comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal.</li><li>Strong software engineering skills. Being able to write easy-to-extend and well-tested code.</li><div><br></div><div>Our stack includes: Python, GCP, Kubernetes, Terraform, Flyte, React/NextJS, Postgres, BigQuery</div></ul><h3>What you might work on:</h3><ul><li>Owning and scaling our data infrastructure by several orders of magnitude. This includes our data pipelines, distributed data processing, and data storage.</li><li>Building a unified feature store for all our ML models.</li><li>Efficient storing and loading hundreds of terabytes of weather data for use in AI-based weather models.</li><li>Processing and storing predictions and evaluation metrics for large-scale forecasting models.</li></ul><h3>You might be great for this role if:</h3><ul><li>You have 4+ years of experience building data infrastructure or data platforms</li><li>You have experience with ML infrastructure and have worked at companies that use ML for core business functions</li><li>You’re comfortable with ambiguity and a fast-moving environment, and have a bias for action</li><li>You learn and pick up new skills quickly</li><li>You’re motivated in making a real-world impact on climate and energy</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 that will ask you to work in our Cupertino office 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">What is your interview process? </b></div><div>You’ll usually have a chat with the hiring manager or someone on the team about your background and experience. After that, depending on the role, you’ll either have a technical phone screen with an engineer, or work on a take-home project. If that goes well, we’ll have you on site in Cupertino for an interview panel with the team, which usually takes about 4 hours.</div>

Senior Data Infrastructure Engineer

<div><span style="font-size:18px;"><b>The Company</b></span></div><div>Gridmatic Inc is a high-growth startup that is accelerating the clean energy transition by applying AI to power markets. We apply machine learning to deliver predictability and manage risk for renewable energy supply and demand. We are the rare startup that has multiple years of profitability without raising venture capital. To support its rapid growth, the company has established itself as a retail energy provider to large commercial load in ERCOT (Texas). Gridmatic is a great place to work with a culture that values teamwork and continuous learning, and we value integrity as much as excellence. </div><div><br></div><div><b style="font-size:18px;">The Role:</b></div><div>We are seeking a detail-oriented and highly motivated professional to join our Retail Operations team, focused on serving commercial electricity customers in ERCOT and PJM. This role is critical to ensuring the seamless execution of key operational functions including billing, enrollment, regulatory compliance, broker commissions, and customer support.</div><div><br></div><div>The ideal candidate will have strong analytical and problem-solving skills, a proactive mindset, and the ability to thrive in a fast-paced, data-driven environment. You’ll work cross-functionally to drive accuracy, efficiency, and compliance across the retail energy and customer lifecycle, while delivering exceptional service to both customers and broker partners.</div><div><br></div><div>This is a high-impact role with broad exposure across the business, ideal for someone who enjoys working at the intersection of operations, data, and strategy.</div><div><br></div><div><b style="font-size:18px;">What you might work on:</b></div><div>1. Billing</div><div> - Oversee the timely and accurate generation of customer invoices</div><div> - Manage complex billing scenarios based on product and contract structures</div><div> - Monitor and resolve billing exceptions and discrepancies</div><div> - Partner with internal teams to improve billing accuracy and automation</div><div><br></div><div>2. Customer Enrollment</div><div> - Ensure all commercial customers are enrolled accurately and on schedule</div><div> - Manage enrollment exceptions and troubleshoot issues as they arise</div><div> - Collaborate with IT and third-party vendors to enhance and automate enrollment systems</div><div><br></div><div>3. Regulatory</div><div> - Monitor and interpret regulations across ERCOT, PJM, and other U.S. power markets</div><div> - Ensure in compliance with market rules and commission guidelines (FERC, PUC, State, and utilities) and prepare data and assist with regulatory filings, audits, and reports</div><div> - Partner with legal, compliance, and operations teams to assess and manage regulatory risk</div><div><br></div><div>4. Commissions</div><div> - Manage broker relationships and ensure timely, accurate payment of commissions</div><div> - Track and report on commission structures, performance, and exceptions</div><div> - Address broker inquiries professionally and efficiently</div><div> - Develop tools and reporting processes to automate and optimize commission workflows</div><div><br></div><div>5. Customer Service</div><div> - Lead efforts to deliver high-quality support across multiple communication channels</div><div> - Respond to customer inquiries and issues with clarity, professionalism, and urgency</div><div> - Implement systems and processes that enhance customer satisfaction and retention</div><div> - Ensure seamless coordination between operations, billing, and support teams</div><div><br></div><div>6. Data Analytics</div><div> - Analyze operational and financial data to identify trends, gaps, and opportunities</div><div> - Develop dashboards and predictive models using SQL, Python, Tableau, and Power BI</div><div> - Translate complex data into actionable insights for cross-functional teams</div><div> - Support business decisions with clear, concise reports and visualizations</div><div><br></div><div>7. Strategic Operations Support</div><div> - Collaborate with cross-functional teams to improve tools, systems, and workflows</div><div> - Contribute to special projects including workflow scaling and new service rollouts</div><div> - Drive operational improvements to support customer satisfaction and company growth</div><div><br></div><br><br><h3>You might be a good fit if you:</h3><ul><li>6+ years of experience in data analytics, operations, or regulatory roles, ideally within the energy or utilities sector.</li><li>Proven ability to analyze complex problems and present data-driven recommendations.</li><li>Strong Microsoft PowerPoint, Excel, and communication skills—able to distill technical information into clear, actionable insights.</li><li>Self-starter with the ability to work independently and thrive in a fast-paced, evolving environment.</li><li>Knowledge of U.S. power markets, including ERCOT and PJM, is strongly preferred.</li><li>Experience with billing systems such as Vertexone and data tools, SQL, Python, and visualization platforms like Power BI or Tableau is a 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 from the office 2 or 3 days a week.</span></div><div><br></div><div>Gridmatic is an equal opportunity employer and encourages all applicants from every background and life experience.</div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com.</div><div><br></div>

Manager, Retail Operations

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>We are looking for an Atmospheric Scientist to apply their deep expertise to directly influence our models and strategies, contributing to the clean energy transition. This is a hands-on, individual contributor role where you will leverage your scientific knowledge and technical skills in a fast-moving, impactful startup environment. You will explore, evaluate, and integrate complex atmospheric data and models into our prediction systems, which drive real-time energy trading and optimization decisions. You will collaborate closely with our ML, engineering, and data science teams, teaching others about weather phenomena while learning about grid power dynamics and time-series modeling techniques.</div><div><br></div><div><b style="font-size:18px;">What you might work on:</b></div><div><b>Research and develop &amp; Internal Weather Models:</b></div><div>- Engaging in more open-ended research and development to build or refine our own weather modeling capabilities.</div><div>- Fine-tuning existing state-of-the-art AI models (e.g., based on GenCast, AIFS, and NeuralGCM).</div><div>- Post-processing existing SOTA AI forecasts to debias and recalibrate for our downstream power predictions.</div><div>- Incorporating and evaluating model changes, pushing the boundaries of how we forecast weather variables relevant to the energy sector.</div><div>- Educate and inform the broader team about atmospheric phenomena and weather forecasting concepts.</div><div>- Potential to publish research and findings derived from your work, contributing to the scientific understanding at the intersection of atmospheric science and energy, where appropriate and aligned with business goals.</div><div><br></div><div><b>Evaluating &amp; Integrating External Weather Products:</b></div><div>- Surveying and evaluating the suitability of various Numerical Weather Prediction (NWP) and commercially available AI weather forecast products for our power production and price models.</div><div>- Rigorously evaluating and monitoring the performance of integrated weather products, analyzing their impact across different regions, timeframes, and weather regimes.</div><div>- Working with external data providers (like NOAA) and internal engineers to define data requirements.</div><div>- Work with engineers to build, monitor, and maintain data ingestion pipelines.</div><div><br></div><div><b>Evaluating &amp; Running AI Weather Models In-house:</b></div><div>- Develop evolving metrics for AI weather models for our unique specifications.</div><div>- Set up, run, and monitor SOTA AI weather forecasts on our GPU cluster.</div><div><br></div><div><b>Generic Time Series Modeling:</b></div><div>- You might also apply your modeling skills to improve generic time series models for power production or energy price forecasting, using ML libraries like PyTorch or JAX.</div><div><br></div><div><b>Across all workstreams, you will be expected to:</b></div><div>- Write and maintain significant Python code within a Git-based software development workflow.</div><div>- Continuously learn about grid power modeling and the intricacies of energy markets.</div><br><br><h3>You might be a good fit if you:</h3><ul><li>Have significant experience working with atmospheric models (NWP and/or AI models) and large meteorological datasets.</li><li>Possess strong proficiency in Python programming.</li><li>Some experience in Machine Learning with a desire to become an expert.</li><li>Are comfortable working in a Linux environment and using Git for version control.</li><li>Have experience running computational jobs on clusters or cloud computing environments.</li><li>Have a demonstrated ability to analyze and interpret complex scientific data and model outputs.</li><li>Are an effective communicator, able to explain complex weather concepts to non-experts.</li><li>Are naturally curious and eager to learn about new domains, particularly energy systems and time-series modeling.</li><li>Thrive in a fast-paced, dynamic startup environment where priorities can evolve</li></ul><h3>Not required, but would be nice if you:</h3><ul><li>Have earned a PhD in Atmospheric Science, Meteorology, or a closely related quantitative field.</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>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Atmospheric Scientist

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>We are looking for an experienced Senior Frontend Engineer to design, build, and evolve the critical user interfaces that empower our team to optimize grid-scale energy-storage systems and accelerate the decarbonization of the electricity grid. Your impact will be in creating intuitive, powerful operational tools to simplify traditionally complex energy systems. This role is ideal if you are passionate about solving challenging UI/UX problems, building robust frontend systems, and directly contributing to the efficiency of real-world clean energy assets.</div><div><br></div><div>You will primarily use React to build these applications, collaborating closely with backend engineers who provide data via APIs. While React expertise is key, we value experience with similar modern frontend frameworks. Our technical environment includes cloud platforms like GCP and containerization with Kubernetes, providing a modern foundation for your work.</div><div><br></div><div>If you thrive on building sophisticated frontend applications that directly impact operational workflows, excel at translating user needs into elegant technical solutions, and want to apply your skills to a mission-driven clean energy company, this role offers a compelling opportunity. You will work alongside backend engineers, data scientists, and energy domain experts to build the future of energy storage operations.</div><br><br><h3>What you might work on</h3><ul><li>Architecting and implementing operational tools for our Storage team to monitor, control, and analyze grid-scale batteries in real time.</li><li>Designing and building reusable, high-performance React components and contributing to the evolution of our frontend architecture and best practices.</li><li>Collaborating closely with backend engineers to define and integrate with APIs that provide the necessary data and functionality for frontend applications.</li><li>Gathering feedback from internal users (operators, engineers) and iterating rapidly on tools to improve usability and functionality.</li><li>Contributing to the overall system design, ensuring frontend requirements and capabilities are well-integrated with backend systems and data pipelines.</li></ul><h3>You might be a good fit if you:</h3><ul><li>Have 5+ years of professional software engineering experience with a strong emphasis on frontend development using modern frameworks.</li><li>Possess deep expertise in React, including state management (e.g., Redux, Zustand, Context API), component architecture, hooks, and performance optimization, or have extensive experience with a similar framework and are eager to work with React.</li><li>Are highly proficient in modern JavaScript/TypeScript, HTML5, and CSS3/SCSS.</li><li>Have experience building complex, data-intensive user interfaces and operational tools.</li><li>Are comfortable consuming and collaborating on the design of REST APIs.</li><li>Can reason about concurrency issues and event-driven systems</li></ul><h3>Not required, but would be great if you also had:</h3><ul><li>Experience building tools for internal users or operational teams.</li><li>Experience or a strong interest in product thinking or customer success, demonstrating an ability to understand user needs and translate them into technical requirements.</li><li>Experience running containerized applications on Kubernetes or with Docker.</li><li>A Bachelor's degree in Computer Science or demonstrate equivalent practical experience and expertise.</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>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Senior Frontend Engineer

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div><br></div><div>As a Senior Backend Engineer, Infrastructure, you will play a key role in designing, building, and scaling the core backend services and infrastructure that power our cutting-edge solutions in the clean energy sector. You will work with a modern tech stack to develop backend services (Python, Go), along with technologies like Terraform, Postgres, BigQuery, and Kubernetes to build reliable backend infrastructure. Your focus will be on developing robust, performant, and scalable backend systems while contributing to the underlying infrastructure that supports them. You'll collaborate with the team to ensure the reliability, security, and observability of our production environment.</div><br><br><h3>What you might work on</h3><ul><li>Designing and implementing new backend services and APIs to enhance our grid-scale battery capabilities and integrate new energy assets.</li><li>Developing and maintaining infrastructure-as-code using Terraform to build, manage, and harden our cloud environment, driving best practices for scalability and reliability.</li><li>Improving system observability by implementing enhanced logging, metrics, tracing, and alerting within our backend services and infrastructure.</li><li>Collaborating with other engineering teams to define and build platform capabilities that enable faster, more reliable service development and deployment.</li></ul><h3>You might be a good fit if you:</h3><ul><li>Have 5+ years of experience in backend software engineering including solid programming experience in one or more high-level languages: Python, Java, Go, etc.</li><li>Possess a proven track record of building and shipping production-grade backend software with a strong focus on reliability, performance, and scalability in distributed systems.</li><li>Are familiar with major cloud providers, such as GCP, Azure, or AWS (experience with GCP is a plus).</li><li>Have hands-on experience writing and managing infrastructure-as-code using Terraform.</li><li>Have experience with owning the full lifecycle of software development, from design and testing through deployment and production support.</li></ul><h3>Not required, but would be great if you also had:</h3><ul><li>Containerization technologies like Kubernetes (GKE, EKS, AKS), ECS, or Docker.</li><li>An interest in system security, reliability, and operational best practices.</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>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Senior Backend Engineer, Infrastructure

<div><span style="font-size:18px;"><b>The Company</b></span></div><div>Gridmatic Inc is a high-growth startup that is accelerating the clean energy transition by applying AI to power markets. We apply machine learning to deliver predictability and manage risk for renewable energy supply and demand. We are the rare startup that has multiple years of profitability without raising venture capital. To support its rapid growth, the company has established itself as a retail energy provider to large commercial load in ERCOT (Texas). Gridmatic is a great place to work with a culture that values teamwork and continuous learning, and we value integrity as much as excellence. </div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>Gridmatic is seeking a detail-oriented and experienced Senior Accountant to support the financial operations of our growing retail energy business. In this role, you will be responsible for managing billing, accruals, and vendor payments, ensuring all financial activity is accurately recorded in our ERP system and vendor payment platform. You will oversee the preparation and maintenance of financial records for at least two legal entities and collaborate closely with the Portfolio team to ensure timely and accurate handling of the profit and loss statement, including proper recording of revenue, expenses, taxes, and operating costs.</div><div><br></div><div>This role plays a key part in maintaining the integrity of our financial reporting. You’ll lead the preparation of daily, weekly, and monthly reconciliations for cash received and income recorded, support the month-end close process, and assist with regulatory reporting and tax filings. You will also serve as a point of contact across departments, helping to implement best practices and maintain consistent financial controls within the energy retail space.</div><br><br><h3>What you might work on:</h3><ul><li>Record and maintain Gridmatic’s daily financial transactions in QBO Online</li><li>Record and manage monthly accruals for income and expenses</li><li>Prepare monthly financial statements in QBO</li><li>Support vendor payments and processing through <a href="http://Bill.com">Bill.com</a></li><li>Maintain account mapping between QBO and billing software</li><li>Assist Retail Operations with recording sales invoices and customer payments</li><li>Process and maintain accounts payable and receivable aging reports</li><li>Reconcile bank and broker accounts monthly</li><li>Assist with year-end 1099 filings and tax return preparations (sales tax, GRT, etc.)</li><li>Collaborate with external vendors and internal Finance &amp; Accounting staff</li><li>Ensure utility invoices are processed and approved</li><li>Pay taxes and post customer payments accurately</li><li>Reconcile EDI transactions (e.g., 810 to 820 invoices)</li><li>Support regulatory reporting requirements</li><li>Contribute to ad-hoc projects and recommend best practices for the energy retail industry</li></ul><h3>You might be a good fit if you:</h3><ul><li>5+ years of retail electricity/gas markets experience and knowledge of energy markets and customer billing and receipts is required</li><li>Proficient in Microsoft Excel and PowerPoint</li><li>Experience in QBO and <a href="http://Bill.com">Bill.com</a></li><li>5+ years of relevant bookkeeping experience</li><li>Basic understanding of the GAAP financial statements</li><li>Ability to pay attention to detail</li><li>Ability to multi-task and adjust priorities to meet deadlines, if necessary</li><li>Self-starter with excellent judgment, integrity, reliability and competency</li><li>Bachelors in Finance, accounting or similar; CPA is a plus but not required</li></ul><h3>Not required, but would be great if you also had:</h3><ul><li>Experience with VertexOne a plus</li><li>Knowledge of financial reporting standards; tax and industry regulations a 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 from the office 2 or 3 days a week.</span></div><div><br></div><div>Gridmatic is an equal opportunity employer and encourages all applicants from every background and life experience.</div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com.</div><div><br></div>

Senior Accountant

<div><b style="font-size:18px;">The Company:</b></div><div>Gridmatic is a startup trying to help decarbonize the grid by using deep learning to forecast energy prices. We believe better forecasting can have a real-world impact on energy and climate. As extreme weather events get more common, energy prices become increasingly volatile — for instance, in the Texas energy market, prices can go 50x higher than usual in extreme scenarios. When this happens, the ability to forecast these price spikes becomes increasingly important.</div><div><br></div><div>We use our machine learning (ML) forecasting and optimization to trade in energy markets, make large-scale battery storage systems more efficient, and sell energy to businesses to protect them from extreme price volatility. Our deep learning models have proven very successful in trading in energy markets, we’re successfully operating multiple large batteries (50MW+), and we now sell energy to hundreds of businesses.</div><div><br></div><div>We have a very strong team with significant expertise in ML, energy, and optimization. If you’re interested in working on complex real-world problems, large-scale data challenges, and applying ML to climate and energy, we’d love to talk to you.</div><div><br></div><div><b style="font-size:18px;">The Role</b></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 (required)</li><li>Have worked with 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>Gridmatic is an equal opportunity employer and encourages all applicants from every background and life experience.</div>

Senior Fullstack Software Engineer

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>As a Data Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These products rely on ETL pipelines, deep time series forecasting, and portfolio optimization, all within the domain of electricity markets. Expertise in each of these areas is not necessary, but technical breadth will provide useful context as you iterate.</div><div><br></div><div>We are open to a range of seniority levels for this position. We will compensate and scope projects accordingly.</div><div><br></div><div><b style="font-size:18px;">What you might work on: </b></div><div>Build a storage scheduler in a new market:</div><div>- Collect new signals necessary for modelling</div><div>- Read and implement constraints defined in electricity market tariffs</div><div>- Work with the ML Team to create the necessary forecasts</div><div>- Work with the Optimization Team to solve the portfolio optimization</div><div><br></div><div>Create a pricing engine for time-matched (24/7) clean electricity supply:</div><div>- Ingest data on clean energy supply contracts, load shapes, and electricity prices</div><div>- Work with the ML Team to forecast retail customer load</div><div>- Work with the Optimization Team to create a least-cost supply portfolio</div><div><br></div><div><b style="font-size:18px;">You might be a good fit if you:</b></div><div>- 2+ years of DS work experience or a relevant graduate degree</div><div>- Write robust, production-level code, preferably in Python</div><div>- Enjoy collaborative, cross-functional work</div><div>- Have led successful projects focused on one or more of the following: time series forecasting, optimization, ETL pipelines, or electricity market analysis</div><br><br><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>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

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