manifest-os

Staff Software Engineer

Listed by employer · Checked

Posted within 60 days ·

  • onsite
  • FullTime
  • Engineering
  • New York City
Work arrangement
onsite
Employment
FullTime
Stated compensation
USD 200,000–300,000 1 YEAR
Stated sponsorship
Not stated
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Requirements

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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

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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
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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.
Original formatting and links

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.

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