Camus Energy

Marketing

• Build and execute a brand and content strategy that positions Camus as the definitive voice in transforming how utilities plan and operate the grid to make flexibility part of everyday grid management.
• Develop compelling product narratives that connect our software platform to the broader industry story—this is as much about growing a category as it is about promoting a product.
• Own our LinkedIn presence with a cadence of 3+ posts per week from the company page and support individual voices across the team.
• Manage marketing goals and budget in partnership with finance. Measure what matters—ensuring efficiency, velocity, and impact across the funnel.
• Plan and amplify our memberships, conference and event presence — turning every appearance into a content experience, not just a booth.
• Design and run differentiated campaigns that combine great content with smart distribution, tailored to specific audience segments like utilities, data center developers, and regulators.
• Delegate wisely to agencies, freelancers, and AI tools to maximize output and impact with limited resources.
• Establish relationships with key media partners for paid and earned placement.
• Collaborate with sales and policy teams to ensure marketing supports near-term commercial goals and long-term regulatory positioning

Senior Marketing Manager

Full-stack Engineer

• Develop and maintain high-fidelity power flow & optimal power flow models
• Write and maintain automated tests and validation pipelines that verify model accuracy, catch regressions and ensure solver reliability
• Drive the architecture of solvers that balance accuracy with computational performance
• Build tooling that visualizes and translates model outputs into actionable insights, for internal and client-facing applications
• Partner with our utility customers to understand their datasets and validate model outputs against their system measurements
• Collaborate with Camus’ internal teams to integrate utility models (GIS, ADMS, and time series data) into the Camus platform
• Identify and resolve computational bottlenecks in large-scale grid simulations

Power Systems Software Engineer

Machine Learning Engineer

• Design, train, and evaluate predictive ML models with a focus on forecasting and time-series applications
• Conduct exploratory data analysis, feature engineering, and statistical modeling across large structured and unstructured datasets
• Collaborate with Engineering to define ML infrastructure requirements, and deploy and integrate ML models into operational workflows and decision-support tools
• Work cross-functionally with Camus teams to define problem statements and translate business objectives into ML solutions
• Communicate model performance, uncertainty, and limitations clearly to both technical and non-technical audiences
• Champion ML best practices around reproducibility, versioning, and testing

Machine Learning Software Engineer

• Design and build backend services, APIs, and platform infrastructure that power our platform
• Contribute to product features end to end — from backend logic and data pipelines to the deployment and operational scaffolding that ships them reliably
• Lead the development of our observability stack — metrics, logging, and alerting — and establish the practices that keep the whole team engaged in production health
• Own and evolve our CI/CD pipelines, deployment tooling, and release processes to make shipping software faster and safer
• Drive incident response and postmortems collaboratively, and follow through by building the automation and tooling that closes the loop on recurring issues

Senior Marketing Manager

Power Systems Software Engineer

Machine Learning Software Engineer

Infrastructure Software Engineer