With over 100 hard-working and talented employees, our greatest strength is the diverse skill sets within our team. From AI researchers to banking experts, client success, and security teams, we take pride in our diverse backgrounds. We do have one thing in common: We’re passionate about democratizing the VIP banking experience for everyone. That passion comes through in every decision we make, project we pursue, partnership we build, and technology we champion.
Read Our Full StoryKaran and Matt started Posh at MIT in 2018 with a singular goal in mind: create better banking experiences through the responsible adoption of AI for underserved financial communities.
Since then, Posh has welcomed more than 70+ clients with over 100 products across the financial services industry. The team behind Posh has also grown, encompassing leading engineers, banking industry veterans, and AI experts — all working together to fulfill Posh’s mission.
The AI team at Posh!
Consisting of engineers and researchers that power our bots with machine learning to understand user's problems so that they can help solve them.
Chelsea Albers
"I love being part of a team. I think this vertical of fintech and AI is so interesting because it's so relevant. I was constantly using fintech and AI, so now selling it and being able to learn about it is such a huge factor in why I love my job."
Yuyu Li
"Something I notice more and more is how much autonomy Posh gives you to pick and choose the things you’re interested in, go after them, and take ownership and accountability. Everyone cares about the end result, not just their stake in it."
Kathy Sianis
“I feel like I’m part of something being built. We’re developing something together. I love the pace, the mindset, the people and I love the industry we’re helping. We are focused on an experience that makes a difference. We’re a partner, not a vendor.”
Say hello to the Poshies! We're a workforce of 100+ living and working in 24 states across the US and two provinces in Canada.
We have strong values across our company culture, including a bias for action, trusting our clients, our partners, and each other, following the data to make decisions, serving the user, ensuring a quality foundation, tolerating ambiguity, and last but not least, investing in each other. Together, we’re prioritizing the ethical utilization of AI — not just for our clients, but in the global conversation around this powerful tool.