Senior Project Manager, Delivery

Euclid: Where Projects Take Shape Reporting to the Program Manager, Onboarding and Knowledge Management, you will help Euclid scale and operationalize our AI-assisted delivery capabilities across services workflows and platform features. In this role, you’ll drive the development and implementation of a rigorous system for injecting Euclid’s knowledge library into the context of AI-assisted features, and you’ll partner cross-functionally with Services, Product, Engineering, and Data teams to build prompt development, testing, evaluation, and iteration processes from a renewable energy domain perspective. This is a hands-on role for a delivery-minded renewables professional who understands how services teams work — and is excited to translate that knowledge into repeatable AI systems that materially improve speed, quality, and customer experience. Who We Are At Euclid, we’re on a mission to accelerate the world’s transition to renewable energy so that we can decarbonize the planet as fast as possible. We empower renewable energy teams to accomplish in days what typically takes weeks. We care about doing meaningful work, delivering real value and results to our customers. We’re passionate about solving real problems by focusing on what truly matters. We’re passionate about our work, and we’re building products and services that our customers genuinely love and trust. We’re not afraid to think big and be bold, as we’re building not only a future we believe in but a workplace culture that we’re proud to be a part of. What You’ll Do Develop and implement a comprehensive, rigorous system for injecting Euclid’s knowledge library into AI-assisted feature context , including taxonomies, retrieval/selection logic, content governance, and quality controls. Work cross-functionally with Engagement teams, Data, Product, and Engineering to ensure the knowledge system is continuously updated, accurate, and aligned with how Services teams actually execute work. Partner with Engineering to implement and manage a prompt development, testing, and evaluation process , including prompt versioning, test suites, acceptance criteria, and performance tracking from the renewables domain perspective. Design, build, and continuously improve AI-assisted diligence checklists and review frameworks , including defining required inputs, expected outputs, edge cases, and validation steps across Services and asset management use cases. Identify, collect and maintain a catalogue of existing services workflows that can be enhanced through AI automation , develop improved processes, and operationalize those workflows either within Euclid’s platform or directly using ChatGPT and related tools. Manage small working groups to develop, revise, and test prompts for multiple AI-assisted Euclid platform features, ensuring prompt outcomes are reliable, auditable, and aligned with customer expectations. Translate renewable energy domain knowledge into prompt and system requirements , including definitions of key concepts, edge cases, error modes, and “what good looks like” for model outputs. Partner with Data Analytics and Services SMEs to curate, structure, and maintain Euclid’s internal knowledge library, leveraging existing data across Smartsheet, the Euclid Platform, and legacy documentation to ensure AI systems and services teams are working from consistent, trusted source material. Build evaluation frameworks and rubrics for AI outputs (accuracy, completeness, interpretability, citation/traceability, tone, and user workflow alignment), and partner with teams to iterate quickly. Define and track KPIs for AI-assisted delivery impact (time saved, error reduction, engagement team adoption, customer satisfaction impact), and communicate results and improvement priorities regularly. Document and train internal teams on best practices for AI-assisted delivery, including prompt usage standards, workflow integration, and “human-in-the-loop” quality checks. ... (truncated, view full listing at source)