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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Structuring Analyst - **Company:** Google LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $138,000.0 - $198,000.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Computer Programming, Information Engineering, Query Languages, Python (Programming Language), Monte Carlo Methods, SQL Databases, Information Technology, Data Analytics - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7e253cd79bf94ba7 ## About the Role Do you have experience in Working in the energy & utilities sector?, Do you have a Bachelor's degree in statistics?, * Bachelor's degree in a technical or quantitative field (e.g., Engineering, Mathematics, Computer Science), or equivalent practical experience. * 2 years of experience in technical program management, with a focus on quantitative risk modeling, financial analysis, and software or data engineering. * Experience in the energy sector, including wholesale power markets, renewable energy transactions, or utility portfolio management. * Experience managing technical initiatives and leading cross-functional programs with multiple dependencies across business and engineering teams. * Experience with energy agreement structuring, energy risk management principles, and quantitative analysis., * Master's degree in a quantitative field such as Mathematics, Statistics, Engineering, or a related discipline. * Deep expertise in major wholesale electricity markets (e.g., PJM, ERCOT, CAISO) and experience structuring complex transactions in multiple regions globally. * Proficiency in programming or query languages (e.g., Python, SQL, C++) to build, review, or scale advanced financial mathematics models, including option pricing, stochastic modeling, and monte carlo simulations. * Exceptional stakeholder management skills, with the ability to translate complex energy market dynamics into clear technical requirements for software engineers and strategic insights for leadership. ## Description * Lead cross-functional technical programs bridging energy origination, finance, data science, and engineering to establish comprehensive risk management frameworks. * Quantify and manage complex risk exposures across Google's multi-gigawatt global portfolio to ensure alignment with 24/7 carbon-free energy goals. * Partner with negotiators and engineers to develop programmatic evaluation tools and guide transaction teams on optimal risk mitigation strategies. * Guide the technical development of risk models and analytics platforms to evaluate clean energy investments and inform commercial negotiations. * Synthesize market trends into long-term strategies while scaling automated, data-driven systems to optimize portfolio risk-adjusted returns and operational efficiency. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [React and the power of visualisation](https://www.wearedevelopers.com/videos/100-react-and-the-power-of-visualisation) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)