Staff Software Engineer
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 200,000–300,000 1 YEAR
- Stated sponsorship
- Not stated
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 200,000–300,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
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About Manifest
Manifest OS is an AI-native company on a mission to replace the billable hour and make legal services more accessible for American businesses and consumers. We power the next generation of AI-native law firms with one unified global brand, a proprietary technology platform, and a centralized back office — enabling lawyers to eliminate the administrative burden and focus on delivering exceptional outcomes for their clients. Manifest OS has raised a $60M Series A from Menlo Ventures, Kleiner Perkins, First Round, and Quiet Capital.
About the Role
We're looking for a Software Engineer to help build the legal tech platform powering the next generation of AI-native law firms. You'll own the development of secure client portals and enterprise-grade systems - from architecture to production.
This opportunity is ideal for engineers who want broad scope, high ownership and move nimbly across lanes. You'll work across AI systems architecture and full-stack engineering - eval systems, retrieval, agent orchestration, and optimization, alongside the APIs, data models, and systems that power the core platform.
This is an in-person role - you'll be on-site at our NYC office 5 days a week.
What You’ll Do
Engineers here move across these areas as needed:
Agent Platform
Eval systems, retrieval, and agent orchestration - building the infrastructure that measures and improves how our AI agents perform
Harness engineering - building the tooling and guardrails that let the rest of the company build securely, reliably, and self-serve
Core Platform & Infrastructure
Database design and backend architecture
Deploy and operate services on cloud infrastructure
Product Engineering
Own end-to-end features across our legal tech platform - client portals, case management, and the workflows lawyers and clients depend on daily
Design production-grade APIs, data models, and permission systems for a regulated, high-trust domain
What We're Looking For
Must-haves:
10+ years building production software, with demonstrated depth in at least one area (backend systems, infra, ML/AI systems, frontend or similar)
Bachelor’s degree or equivalent practical work experience.
Proven track record delivering features that produce measurable business outcomes
Comfort with relational database design and data modeling
Hands-on experience deploying and operating services on a major cloud platform
Fluent with AI coding tools as a core part of your daily workflow
A track record of self-teaching your way into unfamiliar systems and shipping there
First-principles and systems thinking: you can reason about a system you didn't build, from the database up through the API to the product surface
Familiarity with our stack - TypeScript, React, GCP, PostgreSQL
Nice-to-haves:
Deeply engaged with the AI tooling ecosystem - you follow new model releases, experiment with new tools as they land, and stay current out of genuine curiosity
Experience with eval systems, retrieval, agent orchestration OR ML in production
Background building client portals, CRMs, or case management systems
Familiarity with legal tech or other regulated industries
This is for you if....
You treat AI tools as core to how you architect and ship software. You want to build infrastructure that makes legal services more accessible to people. You thrive with ownership and prefer outcomes over process
This is not for you if....
You need detailed processes and defined guardrails to do your best work. You prefer significant direction and oversight over autonomous decision-making. You're earlier in your career with AI-augmented development workflows.
Matched by role category. Review each posting’s requirements before applying.
