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Salary
$160k – $220k per year
Location
Remote (United States)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match
Pattern Data is a company that develops and manages AI-driven marketing automation software. The company's mission is to help businesses of all sizes improve their marketing results through the use of advanced data analysis and machine learning. They provide a variety of services, including data analytics, campaign optimization, and lead generation.

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. You’ll effectively communicate tradeoffs and help scope and shape projects in close collaboration with our product and executive teams. You'll help build products deployed to legal teams at leading US law firms and play a significant role in the growth of the business and the engineering team. You will:

  • Architect, design, and implement backend services including our core API that powers our data processing and application
  • Write code mostly in Scala
  • Promote technical design and coding standards for our platform and product roadmaps
  • Continually look for ways to improve our product’s architecture, whether through direct changes or building tools, components, etc

Our core stack of technologies:

  • Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS

What You’ll Bring

  • Bachelor’s Degree in Computer Science or related technical discipline, or related practical experience
  • The ability to analyze a business need and select the most appropriate technical solution
  • Experience working in or with start up teams
  • Experience designing, building, and maintaining backend APIs, preferably in a team lead role
  • Production experience or demonstrated interest in strongly-typed modern functional programming
  • Experience with data structures, database optimization, cloud infrastructure, and message queues
  • 8+ years experience in Software Engineering
  • Curiosity and enthusiasm for tackling tough problems and delivering effective solutions
  • Great communication skills and can work seamlessly with technical and non-technical stakeholders
  • Passion for solving complex problems

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.

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