Station A-posted 3 months ago
$165,000 - $210,000/Yr
Full-time • Senior
CA
11-50 employees

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. 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.

  • 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.
  • 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.
  • 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.
  • Remote-friendly work environment (U.S.-based) with coworking options.
  • Flexible PTO.
  • Monthly remote work stipend ($50/mo or $600/yr).
  • Learning & development budget to support your professional growth.
  • Comprehensive medical, dental, and vision insurance (including FSA and HSA options).
  • 401(k) plan, with matching on the roadmap.
  • 12-15 paid holidays annually.
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