---
title: 'Software Engineer - AI Platform (Senior-Staff) at Pattern Data'
canonical: 'https://feeny.ai/job/software-engineer-ai-platform-senior-staff-pattern-data-richmond-jpkr24qkywnc'
type: 'job'
last_seen: '2026-10-15'
---

# Software Engineer - AI Platform (Senior-Staff) at Pattern Data

- **Company:** Pattern Data
- **Location:** Richmond, VA
- **Work type:** remote
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/patterndata/jobs/5259507007

## Job description

## Who We Are

Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive.

The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs.

We’re a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the “why,” build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we’re looking for someone who’s excited to contribute to a team that’s actively building and improving every day.

## What You’ll Do

As a Software Engineer at Pattern Data, you will be involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping. The AI pod builds the systems that turn medical records and claim files into structured, reliable data. This role is focused on the engineering around our AI capabilities: the pipelines, evaluation, and review workflows that make the output something a law firm can act on. You will:

- Build and operate LLM-backed pipelines for document extraction, classification, and validation
- Measure and improve accuracy through evaluation datasets, regression suites, and metrics the business can act on
- Build the review workflows where our team confirms and corrects AI output
- Own the production details that determine reliability: prompt versioning, structured output validation, cost and latency management, retries, and fallbacks
- Work with our litigation management team to identify where AI adds the most value

Our core stack of technologies:

- Scala, TypeScript, PostgreSQL, GraphQL, Elasticsearch, AWS

## What You’ll Bring

- Bachelor's degree in Computer Science or a related technical discipline, or related practical experience
- 6+ years of experience in software engineering with strong fundamentals
- Hands-on production experience with LLM APIs - prompting, structured outputs, retrieval, and tool use
- A real point of view on evaluation: how you know the system is working, and how you know when it stops
- Comfort with messy real-world data - OCR'd PDFs, scanned faxes, and forms filled out by hand
- Curiosity and enthusiasm for tackling tough problems and delivering effective solutions
- Great communication skills, and the ability to work seamlessly with technical and non-technical stakeholders

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you!

Pay Transparency Disclosure

The estimated base salary range for this role is $160,000-$220,000 per year, plus bonus and benefits.

At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.

Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.

We understand that exceptional candidates bring unique backgrounds and strengths.  If the scope of the role changes during the hiring process, we’ll update and communicate any adjusted range accordingly.

Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.

## About Pattern Data

## Company Overview
- **One-liner**: Pattern Data provides an AI-powered operating system for mass tort litigation, enabling law firms and settlement administrators to manage case reviews, validation, and settlement through structured data.
- **Entity Type**: Private (Seed round, February 2020)
- **Headquarters**: Charlotte, North Carolina, United States
- **Founded**: 2020 (seed round date)
- **Founders**: Matt Francis (Co-Founder & CEO), Koleman Nix (Co-Founder & CTO)

## Core Business
- **Primary industry**: Legal technology (mass tort litigation software)
- **Target customers**: Plaintiff law firms and settlement administrators (B2B) handling multi-district litigations (MDLs)
- **Mission**: To transform the way legal services are provided by combining AI with legal expertise, delivering clarity, speed, and confidence in every mass tort.

## Products & Services
- **[Pattern Platform (SaaS)]**: The core product – an operating system that screens, develops, and settles mass tort cases. It applies litigation-specific criteria across entire inventories, identifies missing documentation, re-evaluates cases as criteria evolve, and generates structured, settlement-ready submissions. Supports over 30 litigations (e.g., AFFF/PFAS, Roundup, Zantac, Camp LeJeune, Hernia Mesh, Talc, Ozempic, etc.).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding – Seed round in February 2020 (amount not disclosed); annual revenue not publicly available
- **Notable Investors/Partners**: Not publicly disclosed; the platform integrates with partner systems and is trusted across 1M+ cases and 30+ litigations
- **Growth Signals**: 29 employees (+10.5% YoY); 9,309 LinkedIn followers (+5.4% yearly); active job postings up 25% yearly; expanding engineering and client success teams; Pattern Labs research initiative launched

## Competitive Advantages
- **Inventory-level clarity**: Converts individual case reviews into a unified, structured inventory that can be reported, acted on, and built upon across every stage of litigation.
- **AI-augmented human judgment**: AI extracts, classifies, and scores evidence to support (not replace) human review, reducing manual work while maintaining accuracy.
- **Dynamic adaptability**: Automatically re-evaluates all cases when litigation criteria change, saving teams from re-reviewing files individually.
- **Breadth of litigation support**: Covers a wide range of high-profile MDLs, giving firms a single system for multiple cases.

## Strategic Focus
- **Continuous platform evolution**: Investing in research, model refinement, and real-world litigation analysis through Pattern Labs.
- **Deepening integrations**: Actively hiring a Senior Product Manager focused on integrations and platform to expand connectivity with partner tools.
- **Scaling the team**: Growing engineering (entry to staff), client success, and sales functions to support a larger client base.

## Why Work Here
- **Culture & values**: Authenticity, collaborative ownership, customer-centric solutions, and visionary problem-solving. Team of agile learners and proactive self-starters.
- **Work policy**: Mixed – headquarters in Charlotte, NC (in-office), with remote roles available for US-based positions (e.g., Account Executive, Senior/Staff Software Engineer). Entry-level engineering role in Richmond, VA (on-site). Some roles are fully remote.
- **Tech stack**: Modern stack including Scala, TypeScript, React, Python, PostgreSQL, Elasticsearch, GraphQL, Docker, PyTorch, and more.
- **Growth opportunities**: Rapidly scaling company with clear career progression; open roles in engineering, product, client success, and business development.

## Sources
1. [patterndata.ai](https://patterndata.ai/)
2. [Greenhouse Jobs](http://job-boards.greenhouse.io/patterndata)
3. [LinkedIn Company Page](https://www.linkedin.com/company/pattern-data)
4. [Built In Profile](https://builtin.com/company/pattern-data)

## Other roles at Pattern Data

- [Senior Client Success Manager](https://feeny.ai/job/senior-client-success-manager-pattern-data-charlotte-vc9p6tws9gg6) — Charlotte, NC
- [Account Executive](https://feeny.ai/job/account-executive-pattern-data-united-states-4q8yemw5m6py) — United States