This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an Engineering Manager you will manage a team of power system engineers performing transmission studies & projects for clients. Responsibilities include client account management, supporting business development, project management, resource forecasting and utilization, and development of direct reports. How you can make an impact: - Perform high level bulk power system studies using various power system software. - Take responsibility for the timely completion of projects while meeting all project quality and budget objectives. - Interact with Clients to seek input and address their needs and concerns with respect to the project(s) study scope of work. - Direct and manage a team of electrical engineers to perform specific power system analyses including steady state, transient stability, short circuit, and/or EMT studies. - Develop and grow the capabilities of engineers within the team and the larger organization. - Perform advanced and specialized studies of the power grid utilizing industry standard analysis platforms such as PSS/e, PSLF, Powerworld, TARA, ASPEN, CAPE, and PSCAD. - Assist in model development efforts including development of generation, load, transmission line and transformer models. - Develop optimal system upgrade and constraint mitigation plans for identified system violations and issues. - Develop and review transmission study methodologies and processes. - Lead process improvement efforts identifying opportunities to enhance organizational efficiencies focused on maximizing team bandwidth while ensuring quality and timeliness of client deliverables. - Support business development activities including development of RFP responses & scope of work statements for clients, outlining EPE deliverables and projected completion dates. Qualifications - Bachelors Degree in Engineering with a focus on Power Systems (advanced degree preferred). - 5+ years in the electric energy industry, with experience in power system studies, design studies. - Experience with PSS/E, PSLF, PowerWorld, TARA, CAPE, Aspen, and/or PSCAD (preferred). - This role will manage/supervise a team of power system engineers ranging from 2 to 10 individuals. Benefits - Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you. - Generous PTO and paid holidays. - Continuous Education Benefits. - Work with industry leaders. - 401K, up to a 4% match (100% vested from day 1). - Flexible Work including hybrid and remote possibilities based on position. Location This position is open to Remote US or Canada. Travel Occasional travel may be needed (10% or less).

• Build and lead a focused team designed for high ownership and fast architectural decision-making, with opportunity to expand over time. • Own Onebrief’s data model, schema, and evolution strategy from first principles • Lead large-scale architectural change, setting standards for how data is structured, versioned, and governed • Partner closely with product, platform & infrastructure teams as an application architecture leader. • Drive execution of foundational roadmap initiatives tied to long-term platform success. • Develop Principle, Staff, and Senior engineers, creating clarity and autonomy without becoming a bottleneck • You won’t be writing production code day to day, but this is a hands-on leadership role. You’ll be making decisions impacting system design, application architecture and technical tradeoffs.

• Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system. • Establish technical roadmaps aligned with business objectives and scalability requirements. • Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations. • Build robust data pipelines and infrastructure supporting AI/ML workloads at scale. • Oversee model deployment, fine-tuning, and optimization for production environments. • Architect scalable microservices and cloud-native solutions supporting real-time AI applications. • Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.

• Building and leading high-performing engineering teams • Delivering secure, scalable enterprise applications • Establishing modern DevOps, CI/CD, QA, and SDLC practices • Supporting the evolution of a unified enterprise platform accessible to both internal users and external clients • Oversee incident response processes and platform monitoring standards • Oversee execution across multiple concurrent software initiatives • Improve backlog management, sprint discipline, and cross-team coordination • Establish developer performance metrics such as: Delivery predictability, Deployment frequency, Change failure rate, System reliability, and uptime • Remove obstacles impacting delivery and execution • Partner with Product and Project leadership to align capacity with priorities • Provide architectural oversight across the organization’s core applications • Guide consolidation of systems into a unified enterprise ecosystem • Define shared services strategy (authentication, authorization, APIs, logging, monitoring, data services) • Support scalable, secure system design capable of supporting external client access • Govern major technical decisions while empowering teams to execute • Oversee development of systems accessible to external clients • Implement role-based access control and identity management standards • Partner with infrastructure and security teams on: Cloud architecture, Secure data handling, Audit logging, Environment separation • Implementing and standardizing CI/CD pipelines • Governing source control and branching strategies • Establishing environment promotion models • Formalizing release management practices • Driving infrastructure-as-code and automation where appropriate • Improving deployment reliability and release velocity • Establish standardized SDLC lifecycle gates • Define testing expectations (unit, integration, regression, security, performance) • Introduce automated testing standards • Improve defect management and root cause analysis • Manage technical debt prioritization • Align development documentation with audit-readiness and compliance needs • Establishing KPIs across: Platform adoption and utilization, System uptime and reliability, Deployment frequency and change failure rate, Security posture and vulnerability remediation timelines, Development throughput and delivery predictability • Developing dashboards and reporting mechanisms that provide visibility to executive leadership • Delivering quarterly updates summarizing: Platform performance and reliability metrics, Roadmap progress, Technical risk areas, Strategic outcomes and value delivered • Evaluating emerging technologies, architectural trends, and evolving client needs to guide platform evolution • Using data to inform investment decisions, staffing models, and technical prioritization