Join Our Team

We’re a small team of smart passionate people with deep backgrounds in AI, cybersecurity, and public safety—and a commitment to revolutionizing how we manage crowds and keep people safe through the products we're creating and the company we’re building.

Why Work Here

  • You’ll be part of a welcoming team of diverse people, perspectives, ideas and cultures and surrounded by people who care about your career and will provide the experience, mentorship and opportunities to grow with the company.

  • You’ll have an outsized impact on our business and our customers. You’ll help determine the right thing to do, and we’ll support you doing the right thing, all in a fast-paced, collaborative and transparent environment.

  • You’ll develop new and innovative ideas in spatial and crowd intelligence and work on technology for real-time streaming analytics, distributed machine learning, and simulation in the large-scale data-rich world of security, network, IoT and mobile devices.

Benefits


100% paid employee insurance (health, dental, vision, disability), concierge medical services and fitness benefits

Competitive compensation, 401K plan, and early-stage equity (we're all owners and earners of our success)

Remote due to COVID-19, eventually returning to a great location in downtown Boston convenient to all public transportation (we'll cover your MBTA T pass).

Flexible work hours, team social events and unlimited personal time (and the ability to use it)

Current Openings


Backend Engineer



In this full-time role, you’ll develop software to perform streaming data analytics and sensor fusion from the edge to the cloud, design the underlying distributed processing and machine learning pipelines and activities, and build a large-scale modeling and simulation environment to predict occupancy, flow and patterns of life. You’ll work on a modern hybrid cloud architecture where responsiveness, elasticity and scalability are essential.

Your responsibilities will span the spectrum of development including research, design, implementation and support; and have the opportunity to grow and contribute to other areas of product development based on your interests and abilities.

About You

This is a great opportunity for strong software engineering candidates with functional programming experience and a practitioner’s familiarity with machine learning to work on applied problems in data science in an early-stage environment.

You should have:

  • A Bachelor's degree in computer science or a related field, or equivalent experience
  • At least four years' experience in full-time production software development
  • Roles that demonstrate project, technical and team leadership
  • Fluency in at least two languages like Scala, Clojure, Haskell, Python, or Java
  • Experience with--and a solid understanding of--functional programming
  • Past experience with stream processing, data pipelines and distributed systems

It will be helpful to be familiar with architectural patterns like reactive systems, microservices and scaling patterns--and you’ll have the chance to learn what you might not know from those who do.

This role will be either hybrid based in Boston, or it will be based in Atlanta as part of a new, largely remote pod. All candidates must be legally authorized to work in the US and not require sponsorship for employment visa status.

About Us

Armored Things provides a spatial data and crowd intelligence platform that shows where people are, shows where they are going, and anticipates where they will be in the future--while preserving individual privacy.

Our platform combines real-time streaming, distributed machine learning and simulation to analyze and fuse data from existing IoT, mobile, safety, building and IT sensors and systems into a complete view of people in space.

We’re a small team of smart, passionate people with deep backgrounds in data science, AI, cybersecurity, and public safety—and a commitment to making a real difference through the products we're creating and the company we’re building.


Armored Things is an equal opportunity employer and is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.


Software Engineer



In this full-time role, you'll focus on developing software and services that connect to hundreds of video streams, handle the results of video analytics, and provide performance statistics and validation metrics. You’ll focus on the starting points of our analytics pipelines, at the point of machine learning & its output.

You’ll collaborate with other engineers and teams on data fusion and modeling to predict occupancy, flow and patterns of life, and work on software and services supporting our scalable spatial intelligence platform and distributed hybrid cloud architecture. You’ll work across the spectrum of development including design, implementation, production deployment, and support; and have the opportunity to grow and contribute to other areas of product development.

About You

This is a great opportunity for engineers well-versed in Python backends that want to stretch boundaries into data pipelines, image processing, or machine learning.

You should have:

  • At least three years relevant experience working in a production software development team writing code
  • Fluent in Python, and familiarity with other programming languages like Java or Scala
  • Experience with data pipelines that handle data integrity
  • Experience deploying in the cloud and troubleshooting your own deployments

This role will be either hybrid based in Boston, or it will be based in Atlanta as part of a new, largely remote pod. All candidates must be legally authorized to work in the US and not require sponsorship for employment visa status.

About Us

Armored Things provides a spatial data and crowd intelligence platform that shows where people are, shows where they are going, and anticipates where they will be in the future--while preserving individual privacy.

Our platform combines real-time streaming, distributed machine learning and simulation to analyze and fuse data from existing IoT, mobile, safety, building and IT sensors and systems into a complete view of people in space.

We’re a small team of smart, passionate people with deep backgrounds in data science, AI, cybersecurity, and public safety—and a commitment to making a real difference through the products we're creating and the company we’re building.


Armored Things is an equal opportunity employer and is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.