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Drive new account revenue by managing a territory, identifying prospects, understanding business requirements, and mapping them to Yes Energy’s power-market analytics solutions. The role uses consultative and solution-selling methods, executive-level negotiation, prospecting, presentations, demonstrations, forecasting, and territory planning to close B2B SaaS deals. Candidates will sell to energy-market organizations, maintain Salesforce pipeline data, collaborate with technical sales and marketing teams, and travel up to 25% within the territory.

Serves as a strategic People Partner to executive leaders across US and international offices. Responsibilities include leadership coaching, manager enablement, employee relations investigations, talent development, performance reviews, succession planning, site culture, engagement initiatives, and advising on evolving UK and Romanian employment practices. Partners with Talent Acquisition and Total Rewards on onboarding and localized compensation and benefits. Requires approximately 15% travel and flexibility across multiple time zones.

Build and maintain backend services and APIs for an energy market platform using C#/.NET and SQL Server. Implement integrations, optimize databases, write tests, debug production issues, and contribute limited front-end JavaScript work. Collaborate with Product, QA, and engineering teams and use AI-assisted tools to improve development efficiency.

Drive top-of-funnel business for electric power analytics by researching accounts, prospecting and qualifying leads, conducting discovery, scheduling meetings for AEs, maintaining Salesforce, generating sales-qualified leads, reporting results, and building industry expertise in power markets.

The Site Reliability Engineer will lead reliability initiatives, manage incident responses, enhance monitoring, support production systems, and mentor other SREs while ensuring operational excellence.

Work at the intersection of software engineering and operations to investigate production issues, improve reliability, build automation, enhance observability, and support customers. Develop and maintain C# and SQL Server solutions, reduce manual effort, convert production learnings into lasting improvements, and provide occasional after-hours support.

Lead design and delivery of core AI infrastructure and services, architect how Oracle/Snowflake data is exposed to LLMs, build real-time AI-driven customer workflows, mentor backend engineers, drive technical strategy, and collaborate with product, data, and stakeholders.

As a Data Scientist II, you will manage model configurations, oversee forecasting operations, and collaborate with teams to improve model accuracy and reliability in a production environment.