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Remote Technical Product Manager

Posted 13 days ago

Technical Product Manager

Remote in North America

As a Product Manager at SafeGraph, you'll have the opportunity to:

Work on a diverse range of projects: work with engineers and data scientists to scope new features, determine success metrics for machine learning projects, triage and prioritize issues raised by customers

Dig into data to understand and identify issues with our products

Perform market research

Evaluate and strategize about data sourcing

Participate in quarterly hackathons

Work with an amazing team

Be one of the first 40 people in a very-fast growing company

About you:

Experience coding and diving into technical details

Scrappy

Strong sql skills or brains and brawn to learn/improve

Enjoy digging into data

Excellent communicator

Takes ownership of work

Experience with product or looking to transition from engineering to product

About SafeGraph:

At SafeGraph, we've taken a measured approach to building a long term company. We were profitable in 2019 with over $15mm in ARR, have hired experienced leadership from the start and care deeply about democratizing access to data to everyone.

Our goal is to be the dominant place to get any data on a physical Place. We sell our product - our datasets - to data scientists and machine learning engineers at companies of all sizes.

We currently have ~35 employees and are looking to grow to 50 quite quickly. We have raised a $20 million Series A, and the CEO was previously the founder and CEO of LiveRamp (NYSE:RAMP).

While SafeGraph was started in San Francisco, we've been distributed across North America since 2019, and currently have small offices (in non-pandemic times) in SF, NYC & Denver. We get the entire company together in the same place as often as possible, and cannot wait to do this again soon!

We offer our employees a robust set of benefits, including health, dental & vision insurance coverage, a 401k, a work-from-home stipend, mental health benefits, and much more.

Some good reading on how we think:

Open Information to Power Innovation

Where Should Machines go to Learn:

Apply Now! 🤞

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