Hybrid Power Engineering Lead

at GRIDSIGHT

• Job title: Power Engineering Lead
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Python, SQL
• Location requirements: Hybrid, United Kingdom

About the role

• Power Engineering Lead responsible for deploying AI-driven grid analytics for utilities. Engaging in technical consulting and commercial operations across UK and Europe.

Responsibilities

• Serve as an in-house subject matter expert on power distribution systems (distribution networks, LV/MV grid operation, grid modernisation).
• Provide technical leadership for customer teams transitioning to Gridsight-powered workflows, ensuring implementations are robust, compliant, and designed for long-term scalability.
• Play a central role in commercial discovery, helping identify utilities that can build strong internal cases for adopting Gridsight.
• Develop and deliver compelling product demonstrations, technical workshops, and proof-of-concept engagements that clearly communicate the operational and commercial value of the Gridsight platform.
• Support the commercial team in preparing bids, tenders, RFIs/RFPs, innovation funding applications, and partner proposals, ensuring high-quality technical contributions.
• Act as the technical authority on customer calls, influencing decision-makers and helping progress opportunities through the sales pipeline.
• Foster long-term customer relationships by proactively monitoring platform usage, offering optimisation strategies, and ensuring high levels of satisfaction.
• Lead the end-to-end technical onboarding process for new utility customers, ensuring seamless deployment and configuration of Gridsight’s platform.
• Work closely with customers to understand their network characteristics, operational requirements, and compliance obligations, tailoring onboarding and workflow configurations accordingly.
• Oversee data migration, integration with third-party systems, and performance monitoring for smooth day-to-day operation.
• Partner with sales, client success, product, and engineering to continually improve the platform implementation and customer onboarding process.
• Collaborate with Product and Engineering teams to feed in UK/EU market requirements, influencing the roadmap and advocating for features that improve commercial competitiveness.
• Advise customers on best practices for data management, engineering analytics, digital workflows, and the optimal use of AI-driven insights.
• Identify opportunities for additional value-added services, expanded deployments, and product enhancements based on customer feedback and emerging regulatory/market trends.
• Represent Gridsight at UK/EU industry groups, conferences, webinars, and technical forums, contributing to conversations around flexibility markets, LV visibility, orchestration, and AI in power systems.
• Co-develop and present case studies, white papers, and technical insights that position Gridsight as a leader in grid digitalisation and advanced analytics.
• Act as a trusted advisor to senior stakeholders — from engineering managers to regulatory/strategy leaders — influencing grid modernisation strategies and articulating the commercial and operational benefits of Gridsight’s solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, or a related field.
• 5 - 10 years of experience in power systems engineering, distribution planning, or a related field within utilities or energy technology.
• Demonstrated success in project management within the utilities or energy.
• Hands-on experience with advanced power system modeling tools (e.g., PowerFactory, CYME, PSS/E) and cloud-based SaaS technologies (AWS, Azure) is a plus.
• Strong expertise in distribution system planning or DER integration with system integration, APIs, data management, and scripting languages (e.g., Python, SQL) for data processing.
• Understanding of regulations and emerging trends in energy markets.
• Knowledge of AI/ML applications in power systems is advantageous.
• Exceptional communication and presentation skills, capable of communicating with both technical and non-technical stakeholders.
• Customer-focused mindset with the ability to build and maintain strong client relationships.
• Proven problem-solving abilities and a self-starter mentality, comfortable working in a fast-paced startup environment.
• Effective project management skills, with a track record of coordinating cross-functional teams and ensuring on-time, high-quality deliverables.

Benefits

• Highly competitive salary and equity package
• Flexible, hybrid working environment with a high performing, mission-driven team.