Come work with us!

We are always looking for people who see our vision of diversity, equity, and inclusion in the early investing space. We offer an opportunity to learn about pitching and fundraising in a startup company that makes diversity and equity a priority. Every role below is an amazing opportunity to get in on the ground floor of a growing mission-based startup and work closely with business and technical wizards who are also good human beings.

To apply for any position, please send your resume and cover letter to jobs@scroobious.com. Please don't forget your cover letter! This should include why you’re a good fit for the position, why we should be excited to have you join us, and how you learned about the role.

Equal opportunity: We actively encourage candidates from broad, diverse backgrounds to apply. Scroobious is an equal-opportunity employer.

 
 

Open Positions

 
 

Engineering Lead

We’re looking for an Engineering Lead who is skilled enough to take our v1 software, own it, and run with it. You'll report directly to the Founder & CEO, Allison Byers, with ongoing support and mentorship from our incredible advisors and investors. This is an amazing opportunity to get in on the ground floor of a mission-based startup, be a technical leader and recruit core team members, and work closely with business and technical wizards who are also good human beings.

 
 

Pitch Reviewer (Contract)

Do you enjoy helping people make their lives better by teaching them something they didn’t know before? Something that will have an immediate impact for them? Are you interested in joining an innovative new technology company that caters to entrepreneurs and investors? This is a versatile and exciting contract role responsible for the remote delivery of pitch deck and pitch presentation feedback to startup founders.

 
 

Data Scientist (Intern or Contract)

We’re looking for a Data Scientist who has hands-on experience with machine learning and knows how to manipulate data. A core element of our product includes building a recommendation engine that utilizes proprietary variables, traditional elements of fundraising, and engagement behavior on our platform. If you're naturally curious about data and predictive analytics, care about diversity efforts, and want to build a new model alongside super smart and caring humans, then we want to hear from you!

 
 

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