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.
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.
About Everlaw
Engineering is the backbone of the Everlaw Platform. We build features and functionality into the product and its supporting cloud infrastructure systems and ensure its smooth functioning. We also provide data and insights to the rest of Everlaw. At our core, we like to build and enjoy the creative process of building software that is smart, that works well, that scales well, and that is reliable and secure. We do this by supporting and empowering our team members to do their best work, by tackling challenging and complex engineering problems and by nurturing and supporting each team member through mentoring, coaching, and comprehensive feedback.
Everlaw's mission is to promote justice by illuminating truth. Our company culture is open and vibrant and we're committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. 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! 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.
This is a full-time position based in our Oakland, California office with a hybrid work schedule: in office M/W/Th with the option to work from home Tu/Fr.
Getting started
- We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals. [And you’ll spend meaningful time getting to know your direct reports and discover what excites and challenges them.]
- We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.
In your role, you'll...
Stabilize & Mature the Developer Platform
- Lead platform teams that build and evolve core developer tooling (spanning build/test infrastructure, CI, local development environments, and developer workflows) to improve engineer productivity and time-to-value.
- Drive reliability improvements across the developer-facing critical path: reduce CI flakiness, improve build/test speed, and ensure fast, reliable feedback loops for both human and agent-generated changes.
- Partner with Release Engineering and Cloud Infrastructure on shared goals: your team ensures the build/test foundation is solid; they own the release and deploy paths that depend on it.
- Ensure operational excellence for developer platform services with clear SLOs, robust observability, and incident/bug management practices.
Ship AI-Powered Developer Tooling
- Own the strategy and execution for AI-assisted and autonomous developer workflows — evaluating, building, and deploying tools that automate mechanical tasks (lint fixes, test triage, code review, CVE remediation) so engineers can focus on architecture and product problems.
- Partner with Security Engineering to deliver and operate secure sandboxed environments for agentic AI tool use, enabling agents to edit, build, test, and open PRs safely.
- Stay current with the rapidly evolving AI developer tooling landscape. Run fast experiments — prototype, measure, and make kill/scale decisions quickly, while building durable solutions where the signal supports it.
- Define and track success metrics for AI tooling: adoption rates, time saved, CI impact, and developer satisfaction.
Treat Platform as a Product
- Treat internal engineers as your customers. Gather feedback, measure adoption, and iterate on what you ship, not just launch and move on.
- Drive org-wide adoption of new tools, workflows, and standards. Build the documentation, enablement, and evangelism that turn a good tool into an org-wide habit.
- Establish and use developer efficiency metrics (e.g., build/test times, CI pass rates, change failure rate, AI tool adoption) to identify bottlenecks and plan ambitious improvements.
Lead & Grow People
- Coach and develop engineers and leads; provide actionable feedback, elevate technical execution, and foster an inclusive, high-accountability culture.
- Collaborate closely with Engineering Operations, Security Engineering, Cloud Infrastructure, Product, and Design to synthesize requirements and prioritize impactful investments.
- Partner with Engineering Operations to improve processes for alignment, goal setting, empowerment, and cross-team execution across Engineering.
- Communicate effectively with both technical and non-technical stakeholders, adjusting altitude from strategy to technical deep dives as needed.
About you
- 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).
- You have 3+ years directly managing software engineers and/or technical leads, including hiring, coaching, performance management, and growing a high-performing team.
- 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).
- 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.
- 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.
- 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.
- You have experience managing scalable database infrastructure (e.g., Postgres, MySQL, or equivalent).
- 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.
- You are authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas.
Pluses
- Experience with developer ecosystems in Java, Python, or TypeScript; familiarity with Gradle, Bazel, Maven, or similar build systems.
- Background building or managing React/TypeScript apps and frontend build tooling (e.g., NPM, Webpack), or optimizing backend services (e.g., Java + Gradle/Kotlin).
- Experience building and supporting developer tools including scripts, dashboards, CLIs, and developer portals.
- Practice measuring and communicating developer efficiency using metrics dashboards (e.g., Databricks, Snowflake, Grafana) to guide prioritization and demonstrate impact.
- Hands-on experience building or deploying AI agents, LLM-powered automation, or "Copilot-at-scale" initiatives within an engineering organization.
- Experience driving org-wide adoption of new developer tools or workflows — with evidence of change management, documentation, enablement, and measured adoption outcomes.
- Familiarity with frameworks and metrics for assessing and improving engineering effectiveness.
Benefits
- The expected salary range for this role is between $219,000 - $277,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave and approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health to help employees prioritize mental health and wellness
- Annual allocation for Learning & Development opportunities and applicable professional membership dues
- Company-sponsored life and disability insurance
- Find out more about our Benefits and Perks
Perks
Pursue Truth While Finding Yours
At Everlaw, we are deeply invested in pursuing the truth, for our clients and for our employees. We know that when you’re empowered to pursue your passions, it is reflected in the work. That’s why we’re committed to the professional growth of all our team members, offering an annual learning and development stipend and regular career check-ins with managers. If you’re looking for a place that values passion, integrity, and a desire to learn, we’d love to hear from you!
We help law firms, government agencies, and corporations sift through millions of documents of evidence in big lawsuits and investigations to find the proverbial smoking gun (or needle in the haystack -- pick your metaphor). It's a multi-billion dollar space typically dominated by service-oriented vendors, and we're coming at it with cutting-edge technology and elegant design. It's working, and we've been growing very rapidly: we host hundreds of terabytes of data and work with all 50 state Attorneys General and hundreds of law firms on some of the most high-profile cases litigated today.
Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the
California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support.
By submitting your application, you agree to adhere to these rules. Here's the link to our
full policy, and please reach out with any questions!
We use Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144. We began using Covey Scout for Inbound on the 9th of June, 2025.