Six Figure Work

Software Engineer

Manifest OS

Company websitemanifestos.com (Manifest OS, opens in new tab)

Base salary $200K  to $300K

Employer-published annual base salary, USD. Advertised base range in New York City, NY

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  • LocationNew York City, NY
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (33 min ago) · observed since

About this job

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:

  • 7+ 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 have real depth in at least one area, plus the self-teaching ability to pick up unfamiliar systems and contribute there competently. You move with speed, thrive with ownership, and prefer outcomes over process. You want to build infrastructure that makes legal services more accessible to people.

This is not for you if....

You do your best work with clear processes and defined guardrails already in place. You're earlier in your journey with AI-augmented development and want more time to build that muscle first.

Source: Manifest OS on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 72% of the 954 Software Engineering roles in New York listed on this site; 66 others list the same floor. Their median floor is $175,000; the middle half runs from $145,000 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.

This range next to 6 other live Manifest OS roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Manifest OS roles with the nearest advertised base floor
RolePublished base
Software Engineer (this listing)$200K - $300K
Staff Software Engineer$200K - $300K
Product Manager$200K - $250K
Design Engineer$200K - $300K
Forward Deployed Engineer$170K - $230K
Head of Data$250K - $300K
Senior IT Engineer$100K - $150K

Same $100K to $400K scale as every card. All Manifest OS roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-06-22
Where this pay comes from

Location as the employer wrote it: New York City

USD 200,000 – 300,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.