Striveworks Honored with 2023 Built In Best Places to Work Awards
Striveworks was honored by Built In in its 2023 Best Places To Work Awards for Austin.
Striveworks won awards in two categories: Best Places to Work and Best Startups to Work for. The annual awards program includes companies of all sizes—from startups to large enterprises.
“Making Striveworks a great place to work continues to be a focus for us,” said Charlotte McWilliams, Director of People Operations. “Since our inception, we’ve aimed to attract and retain the very best talent. We prioritize finding ways to authentically make this a place where our team members can do their best work, feel supported, and connect with each other.”
This is the second year in a row for Striveworks to receive top honors from Built In as a Best Place to Work. Over the last year, the Striveworks team has continued to build out the features of our Chariot MLOps platform and has added to our partner ecosystem.
“It’s my honor to congratulate this year’s Best Places to Work winners,” said Sheridan Orr, Chief Marketing Officer at Built In. “These exemplary companies understand their people are their most valuable asset, and they’ve stepped up to meet the modern professional’s new expectations, including the desire to work for companies that deliver purpose, growth, and inclusion. These winners set the stage for a human-centered future of work, and we can’t wait to see that future unfold.”
At Striveworks, we’re continuing to expand our team, both at our Austin headquarters, offices across the country, and in fully remote positions. We welcome résumés, which can be submitted through Built In or Striveworks’ careers page, for the following roles:
- Proposal Writers
- Data Scientists
- Software Engineers
- Machine Learning Engineers
Striveworks has received other recent recognitions for our growth and our work in the AI/machine learning space, including CRN’s Fast Growth 150, a spotlight as CRN’s 2022 Emerging Vendor for AI/Machine Learning Tools, and a spot on The Hottest Data Science & Machine Learning Startups of 2022.