We offer a range of benefits to support our team members and their family members.
Manifold offers multiple medical plans to choose from, including a platinum-tier medical PPO, as well as a robust dental PPO and vision policy for you and your family.
Manifold automatically contributes 3% to your retirement plan in addition to your salary, with no vesting schedule or other gotchas. You can contribute in addition to that.
We believe that doing creative, deep work requires working smarter—not longer—both as individuals and as a team. By removing extraneous meetings and interruptions, we're able to keep to a reasonable work week, with only the occasional push.
Manifold offers flexible paid time-off, including self-managed vacation, personal, and sick days. If you need time away, take it. We know that we do our best deep work when we're healthy and recharged.
New parents may take up to 12 weeks of leave at 100% paid salary following the birth or adoption of their child. We also support flexible work arrangements to help team members balance family priorities with work.
Manifold provides a flexible environment for work-life integration. We focus on getting done what you promised, and leave it to you to attend to your personal and professional commitments.
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, teaching/learning, curious, humble. We all value the autonomy, challenge, and impact in our work that make every day fulfilling.
We value writing because it helps us reason more clearly and be more efficient with our time, as articulated here. While meetings sometimes really are the best way to communicate, we try to minimize interruptions that take away from your ability to think deeply about problems.
We work with a modern tech stack, with Python as our language of choice. We are cloud-centric, deploying to AWS, Azure, and GCP, and leveraging tools such as Athena, Redshift, BigQuery, ElasticSearch, Airflow, and Spark (using Scala). We are Docker-first, build infrastructure with Terraform, and generally run on serverless infrastructure or Kubernetes. Our user-facing applications typically pair React with FastAPI. Our ML is done with the PyData stack, with tools like Pandas, sklearn, and TensorFlow.