Software Engineer
Remote (US) +1
Mid-level +1 · Full time
Posted 23 days ago
The Pragmatic Engineer Test score for this team - plus any details points that are not (yet) a "yes": ***** Please get your score here:

Manifold started with a simple observation: In a world full of data and AI tools, why do many organizations still struggle to realize value from all their newly available data.

Manifold Labs is the product development services arm of Manifold. We accelerate building impactful data and AI technology for our clients across various domains using the modern data stack.

Many Manifolders say this is the best place they’ve worked in their career because of the culture and community, using words like genuine, earnest, trusting, learning/teaching, curious, humble.  Our team is distributed across the US and Canada, with established hubs in the San Francisco and Boston areas, recent hubs in the Seattle, Denver, and Louisville area, and more in formation.  Learn more on our Careers page!

About the Role:

As a Manifold software engineer, you will be working on a close-knit (~3-5 person) focused team to take ownership of a problem and deliver a high-quality solution at blazing velocity using a modern data stack.

Example projects include:

  • Design and engineer a machine learning platform to put models into production efficiently for a med device company
  • Design and engineer modernization of a data streaming and analysis system for an adtech business

We are hiring Software Engineers at all levels. Our interview process is designed to map your background and experience to our leveling and to enable you to be successful in the role. We’re excited to talk to you if you are passionate about data, hit SOME of these bullets strongly, and are motivated to learn the rest:

  • Understand shepherding a project through a complete lifecycle - from discovery to deployment - using a sprint based incremental development approach
  • Have experience building and orchestrating data management pipelines using tools such as Airflow, Prefect, or Spark
  • Are comfortable in languages like Python, Java, and Scala, having an ability to understand tradeoffs between languages, be an expert in at least one and capable of picking up others depending on project demands.
  • Understand modern data storage and processing tools and their tradeoffs - SQL vs. NoSQL database technologies, in memory, and distributed database systems, and tools such as PostgresSQL, Cassandra, Hive, Spark, Redshift, Kafka, Hudi or Iceberg
  • Have worked in CI/CD environments and understand scalable deployment and operational management (DevOps) techniques
  • Are comfortable working with a cloud environment (i.e. AWS, Azure, GCP)
  • Understand that the value that comes from pausing your work to answer a question or provide guidance

Our project teams are made up of engineers, program managers, designers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users.


We offer a range of benefits to support our team members and their family members. Our benefits include:

  • Optional remote or in-office work
  • Premium medical, dental, and vision insurance
  • 3% 401k contribution
  • Unlimited PTO (with encouragement to actually use it)
  • 12 weeks of fully paid new parent leave
  • Home office reimbursement
  • Charitable donation match

At Manifold, we embrace our differences—we believe an inclusive and diverse team is critical for innovation. If you have questions about our work or about accommodations, please contact

Manifold is an AI company that builds computational and data science platforms for organizations advancing human health.
Size:  51-100 employees
Funding Level:  Early-stage Startup
Total Amount Raised:  3.3 M
Year Founded:  2016
Waterline Ventures
Gergely Orosz's Notes
Gergely Orosz
Curator of The Pragmatic Engineer Job Board
10/12 on The Pragmatic Engineer Test. Missing: internal open source & healthy oncall as a priority (engineers are rarely oncall)
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