Senior Engineering Manager; Platform Engineering, Developer

Requirements

• If you're looking for a place that values passion, integrity, thinking big, and a desire to learn, we'd love to hear from you!
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• Think you're missing some of the skills and are hesitant to apply? We do not believe in the 'perfect' candidate and encourage you to apply if you feel you can bring value to our team
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• You have 5+ years as a senior engineer building developer productivity tools and/or highly available platform services (e.g., storage, pub-sub, search, caching, observability) and/or deep experience with infrastructure/cloud technologies (e.g., Terraform, Kubernetes, Docker)
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• You have 3+ years directly managing software engineers and/or technical leads, including hiring, coaching, performance management, and growing a high-performing team
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• You have 2+ years building and leading developer experience or platform teams that deliver internal platforms and tooling with measurable productivity outcomes (e.g., faster builds/tests, improved CI/CD lead times, higher deployment frequency)
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• You have experience with AI developer tooling: you've evaluated, deployed, or built AI-powered tools for engineering teams (code generation, AI-assisted code review, automated testing, or similar). You certainly don't need to be an ML engineer, but you should have hands-on conviction about how AI is changing developer workflows, grounded in real experience, not just enthusiasm
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• You know how to sequence AI investments against infrastructure reality: you understand that advanced automation requires a reliable foundation, but you don't use that as an excuse to defer AI tooling indefinitely. You can run both tracks in parallel
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• You're comfortable with ambiguity and building from scratch. Parts of this role involve standing up new capabilities with no prior art internally: setting direction, making early bets, and building credibility before you have results
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• You have experience managing scalable database infrastructure (e.g., Postgres, MySQL, or equivalent)
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• You can communicate at the right altitude with both technical and non-technical stakeholders, and you've led cross-functional roadmaps with Engineering Operations, Security Engineering, Cloud Infrastructure, Product, and Design
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• (Desirable) Experience with developer ecosystems in Java, Python, or Type Script; familiarity with Gradle, Bazel, Maven, or similar build systems
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• (Desirable) Background building or managing React/Type Script apps and frontend build tooling (e.g., NPM, Webpack), or optimizing backend services (e.g., Java + Gradle/Kotlin)
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• Experience building and supporting developer tools including scripts, dashboards, CLIs, and developer portals
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• (Desirable) Practice measuring and communicating developer efficiency using metrics dashboards (e.g., Databricks, Snowflake, Grafana) to guide prioritization and demonstrate impact
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• (Desirable) Hands-on experience building or deploying AI agents, LLM-powered automation, or "Copilot-at-scale" initiatives within an engineering organization
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• (Desirable) Experience driving org-wide adoption of new developer tools or workflows — with evidence of change management, documentation, enablement, and measured adoption outcomes
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• (Desirable) Familiarity with frameworks and metrics for assessing and improving engineering effectiveness

• Everlaw 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
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• 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
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• This role sits at the intersection of platform engineering and AI
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• 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…