Senior Engineering Manager, Platform Engineering (Developer Experience)
Everlaw · Oakland, CA · Engineering
About this role
Everlaw is hiring a manager-level Engineering Manager in the software engineering function based in Oakland, CA. The posting calls out experience with Python, TypeScript, Java, Kotlin. Compensation is listed at $237,000–$300,000 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Oakland, CA
- Department
- Engineering
More roles at Everlaw
Job description
from Everlaw careersEverlaw is seeking a Senior Engineering Manager, Platform to lead teams focused on developer experience, developer productivity, and AI-powered developer tooling, enabling engineers to ship high-quality software quickly, safely, and at scale.
You'll own roadmaps for build/test infrastructure, CI, local development environments, and developer workflows. You'll also own the strategy and execution for AI-assisted and autonomous developer tooling: evaluating, building, and deploying the tools that automate mechanical work so engineers can focus on higher-value problems.
This role sits at the intersection of platform engineering and AI. We're investing in a future where agents actively participate in our SDLC: automating test triage, lint fixes, code review, and eventually broader development tasks. That future requires a solid foundation: reliable CI, fast feedback loops, observable infrastructure, and tooling that engineers actually want to use. You'll own both sides — making the developer platform trustworthy enough for agents to run on, and shipping the AI-powered tooling that multiplies engineer output.
About the Team
The Platform Engineering org is driving a multi-phase program to make Everlaw's SDLC agent-ready: from stabilizing CI reliability and developer feedback loops, to shipping autonomous agent workflows in secure sandboxed environments, to enabling agents as first-class contributors to our codebase. Your team will be a key driver of this program, working alongside Release Engineering (which owns release and deploy paths) and the AI Platform team.