Staff Software Engineer, Modeling Platform

Own the technical direction of the modeling platform's framework and SDK layer, partnering closely with the Smart Grid team on the underlying computation engine

Own and evolve the platform's framework, SDK, and interfaces — including agentic/tool-based interfaces for AI consumers — turning today's API surface into a self-service framework with the extensibility points that let internal teams build modeling products fast

Make the platform-level tradeoffs that shape it: what belongs in the framework vs. a product team's responsibility, build vs. buy, refactor vs. patch, flexibility vs. opinionated speed

Operate with high ownership and autonomy — drive ambiguous or contested decisions forward by pulling in the right stakeholders early rather than letting them stall, and own the outcomes months later, good or bad

Set the multi-year technical strategy for the modeling platform, in partnership with your EM, PM, Design, and senior EPD leadership

Drive technical alignment across teams — build the credibility and relationships that align consuming product teams around the platform's roadmap

Stay hands-on as a backend-primary fullstack engineer — the platform spans backend APIs, SDKs, and the frontend components product teams extend and build modeling experience s on top of

Grow and develop engineers on the team — coach toward senior and staff-level impact, set the technical bar through design leadership and review standards, and provide architectural guidance that scales beyond your own output

8+ years of professional software engineering experience with progression into staff-level technical leadership

Strong Python fundamentals with production experience in Django or similar Python web frameworks

Demonstrated experience owning a platform or framework layer — not just a service — that multiple internal teams built on top of

Strong backend engineering foundation with hands-on experience building frontend components that other engineering teams consume, extend, and build on top of

Track record of setting multi-year technical strategy for a platform or major system, with evidence of the strategy shipping and delivering impact

Track record of growing engineers to the next level — mentoring, coaching, and leading their technical development toward senior and staff-level impact

Familiarity with Go, for collaboration with the Smart Grid computation engine team

Experience designing interfaces for AI agent consumption — tool-use schemas, MCP-style protocols, structured function-calling interfaces

Familiarity with columnar data formats (Apache Arrow, Parquet) and OLAP storage engines (Click House, Duck DB, or similar)

Working knowledge of DAG-based or dependency-graph-driven computation systems

Experience designing SDKs or self-service developer platforms consumed by multiple internal teams

Experience at a B2B Saa S company during periods of significant growth or platform expansion

Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains