---
title: 'AI & ML Engineer at Sandstone'
canonical: 'https://feeny.ai/job/ai-ml-engineer-sandstone-new-york-b4qeb85y05sn'
type: 'job'
last_seen: '2026-09-10'
---

# AI & ML Engineer at Sandstone

- **Company:** Sandstone
- **Location:** New York, NY
- **Compensation:** $225k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-05
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/sandstone/60245340-bedd-4f0c-b3b9-ed27c924b973

## Job description

## About Sandstone

Sandstone is on a mission to elevate in-house legal from a support function into a true strategic partner. From day one, we’ve been clear about what we are—and are not. We are not replacing in-house legal teams. We are building a platform that amplifies them. Our platform enables modern legal teams to move at the speed of AI, deliver better outcomes, and create measurable business value. We unify legal data, power end-to-end workflows, and organize business context within the tools teams already use. Sandstone is the home for AI-native legal departments. Today, Sandstone is trusted by Fortune 500 companies and fast-growing innovators alike. We ship quickly, iterate relentlessly, and scale with intention. When you join Sandstone, you become part of a team that believes deeply in the compounding power of collaboration, rigorous problem-solving, and obsessive attention to detail. Our engineering team is elite, our lawyers ship code every day, and we are dedicated to building the most delightful product an in-house lawyer opens in the morning—and closes at the end of the day.

## The Role

Sandstone is building the AI-native operating system for in-house legal teams. As an AI & ML Engineer, you will build the systems that make that possible: agents that reason over contracts and business context, retrieval systems that surface the right precedent, document understanding pipelines that turn legal work into structured intelligence, and evals that help us measure and improve quality. This is an applied AI product engineering role. You will own production AI systems end-to-end, from problem definition and data strategy through model behavior, orchestration, reliability, UX, and launch. You will work closely with engineers, lawyers, designers, and customers to translate legal judgment into product behavior. This is not a research role, a prompt engineering role, or a narrow ML infrastructure role. We are looking for product-minded AI engineers who can move quickly through ambiguity, work across the stack, and build systems that are useful, trustworthy, and delightful for lawyers to use every day.

## What You’ll Do

- Build production AI systems for legal workflows such as contract review, redlining, legal intake, drafting, negotiation, search, and knowledge management
- Improve retrieval and context systems that reason over contracts, playbooks, precedent, customer data, and business context
- Build document parsing and understanding pipelines that extract structure, entities, obligations, issues, and negotiation context from complex legal documents
- Develop agentic and workflow-based LLM systems for long-running, multi-step legal tasks
- Create evals, datasets, metrics, and feedback loops to measure quality, reliability, cost, and latency
- Partner with lawyers and customers to turn real workflow feedback into product improvements
- Work across backend AI services, data pipelines, APIs, and product surfaces
- Make pragmatic system design decisions about when to use frontier models, smaller models, retrieval, rules, human review, or product design

## What We Look For

- 4+ years of experience as an AI engineer, ML engineer, full-stack engineer, product engineer, data scientist, or similar role
- Experience shipping applied AI or LLM-powered products, especially involving retrieval, agents, evals, document understanding, structured extraction, or workflow orchestration
- Strong software engineering fundamentals and comfort working across backend systems, data pipelines, APIs, and product-facing surfaces
- Ability to own ambiguous technical and product problems from discovery through launch and iteration
- Strong judgment around quality, latency, cost, reliability, observability, security, and UX tradeoffs
- Excitement about working with lawyers and customers to encode domain expertise into product behavior
- Bias toward shipping, measuring, and improving rather than waiting for perfect specs or perfect models
- Clear communication, especially when explaining AI behavior and system tradeoffs to technical and non-technical teammates
- Bonus: experience with legal, financial, enterprise SaaS, search, document AI, workflow automation, or other domains where correctness and trust matter

Working at Sandstone: Benefits & Perks

- Comprehensive health, dental, and vision insurance; 401K
- 12 weeks paid parental leave
- Flexible time off (20+ days PTO)
- Annual learning & development stipend
- Technology stipend, including unlimited spend on AI tooling
- Daily lunch for in-office team members

At Sandstone, we value high ownership, flexibility, and curiosity. You'll have an outsized impact, work closely with ambitious colleagues, and help transform how legal teams work for the modern age.

## About Sandstone

## Company Overview
- **One-liner**: Sandstone builds a Legal Relationship Management platform that uses AI agents to unify intake, workflows, and data for in-house legal departments.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: New York, NY, USA
- **Founded**: 2025
- **Founders**: Nick Fleisher (CEO), Jarryd Strydom (COO), Liam Germain (CTO)

## Core Business
- **Primary industry**: Legal Technology (Legal AI, Legal Operations)
- **Target customers**: B2B – In-house legal departments at enterprises and mid-market companies
- **Mission**: Elevate in-house legal from a support function into a true strategic partner by building a platform that amplifies legal teams with AI-native workflows and unified context.

## Products & Services
- **Legal Relationship Management Platform**: A SaaS platform that integrates with over 50 existing tools (Slack, procurement, CRM, etc.) to provide intake, triage, redlining, drafting, approvals, vendor management, clause libraries, and custom reporting. AI agents proactively gather context and route work to the right owner.
- **AI Agents**: Agentic workflows that understand legal context, respect permissions, and automate repetitive tasks like contract review and comment handling.
- **Analytics & Reporting**: Custom dashboards for cycle times, risk exposure, capacity, and deviation rates.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: $10M in total seed funding (announced January 2026)
- **Notable Investors/Partners**: Sequoia Capital (lead), Lightspeed Venture Partners, and over 20 General Counsel from companies like eBay, Bilt, Flatiron Health, Okta, and Sun Microsystems founders.
- **Growth Signals**: 28 employees as of mid-2026, with 6.1% monthly headcount growth; actively hiring across engineering, sales, and design roles; backed by top-tier investors; team includes veterans from Google, Amazon, Meta, Microsoft, McKinsey, DocuSign, Carta, and leading law firms.

## Competitive Advantages
- **Built by legal practitioners**: Founders and core team include former in-house counsel, legal ops experts, and software engineers who experienced the pain points firsthand.
- **Deep integrations**: Over 50 pre-built integrations allow the platform to layer on top of existing tech stacks without forcing workflow changes.
- **AI-native design**: Agentic workflows that proactively gather context and route work, rather than just document storage.
- **Strong advisor network**: Backed by Fortune 500 GCs and leading legal tech operators.

## Strategic Focus
- **Transform legal departments**: Shift legal teams from reactive, process-heavy operations to proactive, strategic partners.
- **Scale go-to-market**: Building out sales teams (Enterprise and Mid-Market Account Executives) to capture the in-house legal market.
- **Product expansion**: Continuing to develop AI agents, reporting, and integrations to cover the full lifecycle of legal work.

## Why Work Here
- **Culture & Values**: “Everyone Ships, Everyone Sells” – all team members push code and contribute to sales. Values include Ship Relentlessly, Earn Trust, Simplicity Wins, and Do the Hard Things.
- **Work Environment**: Hybrid workspace in New York, NY. In-office culture with catered meals, team events, and dogs encouraged (especially Sandy).
- **Compensation**: Competitive salary, meaningful equity, and fully covered medical, dental, and vision benefits.
- **Engineering Excellence**: Investment in tooling to multiply output; team includes engineers from top tech companies; focus on shipping quickly and learning.
- **Growth Opportunity**: Early-stage company with strong backing, offering the chance to shape a product and category from the ground up.

## Sources
1. [Sandstone.com](https://sandstone.com/)
2. [Sandstone About Page](https://sandstone.com/about)
3. [Sandstone Careers Page](https://sandstone.com/careers)
4. [LinkedIn – Sandstone](https://www.linkedin.com/company/sandstone-ai)
5. [Built In – Sandstone](https://builtin.com/company/sandstone-1)

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