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Technical Lead, Evaluation at Station A. We’re looking for a . technical leader with a bias for quality, systems thinking, and impact . to spearhead the engineering behind Station A’s . geospatial evaluation platform. , the engine that identifies the most financially viable clean energy opportunities in the market. This role is ideal for someone who thrives in an early-stage, fast-moving environment, but insists on . building the right long-term systems. : balancing speed with maintainability, enabling the team to scale, and creating the technical foundation for the next decade of growth.. About the role. In the next 30 years, every part of our built environment will need to transform to support a more . resilient, independent, and decarbonized grid.. Rising demand from data centers, electrification of everything, and an aging power grid are creating unprecedented pressure and unprecedented opportunity for clean energy deployment.. The problem? Origination. Most clean energy projects fail long before they are built because developers spend enormous time and money qualifying sites, collecting data, assessing interconnection, and navigating zoning, only to discover too late that projects will not pencil. In fact, . as much as 80% of projects stall or die. , representing billions in wasted costs and years of lost time.. At Station A, we are solving this bottleneck. Our evaluation platform combines . geospatial data, analytics, and automation. to rapidly identify the most financially and technically viable clean energy opportunities before a project starts. In the past year alone, we have evaluated over . 85 GW of projects. , surfacing billions in potential investment.. This role is about . leading the technology behind that evaluation engine. , scaling it to be the fastest, most accurate, and most trusted way to identify clean energy opportunities in the market. By joining, you will help build the technical foundation that enables cleaner, cheaper, and more reliable power for businesses and communities across the country.. Whether or not you have worked in climate tech before, if you want your engineering leadership to . tackle a mission-critical challenge at the intersection of energy, infrastructure, and technology. , we would love to talk.. Who we are. Station A is a technology company reimagining how clean energy is bought and sold. Our remote-first team is made up of climate-minded technologists, strategists, and operators committed to making climate action a no-brainer for everyone.. We combine proprietary software with industry expertise to guide commercial real estate owners and operators through their decarbonization journey, starting with evaluation of their portfolios and culminating in transactions through our clean energy marketplace.. Compensation. Company stage: . Series A (post fundraise). Reports to: . Head of Product. Preferred Locations:.  San Francisco, Los Angeles, elsewhere in CA (Remote OK). We believe in pay transparency. The annual base salary for this role is . $165k - $210k. , with . performance-based annual bonus. and . stock options. . Learn more about our benefits . here. . . What you’ll do. As . Technical Lead, Evaluation Technology. , you’ll take ownership of the . core geospatial and data-driven systems. that power Station A’s marketplace. You will:. . . Own the architecture and scalability of our evaluation platform:. designing, refining, and growing the engine that identifies viable clean energy opportunities across hundreds of thousands of buildings.. . . Raise the technical bar by instilling best practices across SDLC:. test coverage, CI/CD, system observability, and multi-phase refactors.. . . Mentor and force-multiply. : coach engineers through pairing, design reviews, and example-setting, helping the team level up technically and culturally.. . . Think in systems. : evolve not just code but the processes and collaboration patterns that help the engineering team grow sustainably.. . . Collaborate cross-functionally. with Product, Design, Data, and Marketplace teams to ensure our evaluation stack is fast, scalable, and tightly aligned with business goals.. . . Partner with leadership. as a thought partner on technology decisions, helping guide Station A’s long-term platform strategy.. . You might be a fit if you have…. . 8+ years of professional software engineering experience, with significant . full-stack and data engineering exposure. .. . Proven track record leading . complex, system-level projects. from design through delivery.. . Strong experience with . Python (preferred), TypeScript, and SQL databases (PostgreSQL). , including query optimization.. . Comfort with . geospatial technologies. (e.g. Mapbox/MapLibre, Shapely, PostGIS) and building data pipelines for large-scale spatial analysis.. . Experience with . CI/CD, automated testing, and cloud infrastructure. (GCP or equivalent).. . The ability to . mentor engineers. and foster a high-performing, learning-oriented culture.. . Excellent communication skills—you can align technical tradeoffs with business value and make complex systems understandable to both engineers and non-engineers.. . Bonus points for…. . Deep Python knowledge (e.g. Pydantic, Poetry) and passion for maintainable, well-structured code.. . Experience with . data engineering tools. (Airflow, dbt, Kafka, Spark) to support scalable evaluations.. . Exposure to . AI/ML applications. , especially for geospatial or optimization problems.. . Domain experience in clean energy, sustainability, or climate tech.. . Why this role matters. . . Technical leadership capacity. : We’re understaffed in strong technical leadership. You’ll shape both the system and the team that builds it.. . . Systems thinking. : You’ll help us manage technical debt intentionally, and redesign core pieces of our platform as we scale.. . . Mentorship. : Your example will level up the engineering org, embedding best practices across the team.. . . Capacity growth. : Every line of code you and your team ship enables Station A to scale our business model from service-heavy to product-driven.. . Location & Travel. . . Preferred:. San Francisco, Los Angeles, or California-based to align with core engineering hours and enable periodic in-person collaboration.. . . Anticipated travel:. 1x/year for all-company retreat; quarterly engineering meetups (2–3 days each).. . Company Location: United States.