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Jesse Middleton
General Partner at Flybridge. Partner at Next Wave NYC. Co-Founder of WeWork Labs.
Jesse Middleton is a prominent seed investor at Arcee.ai and a general partner at Flybridge Capital Partners. He has a significant track record in the venture capital space, having invested in over 50 companies, primarily focusing on early-stage startups that are innovating in the fields of collaboration, communication, and technology.
Career Highlights
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WeWork: Jesse was a key member of the founding team at WeWork, where he played a critical role in scaling the organization to nearly 4,000 employees across multiple locations worldwide. His experience there has deeply influenced his approach to supporting startups and fostering community among entrepreneurs.
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Investment Philosophy: His investment strategy emphasizes backing companies that are shaping the future of work and technology. He has a particular interest in Small Specialized Language Models (SSLMs) and their potential to transform enterprise AI solutions. His recent investment in Arcee.ai reflects this focus, as the company aims to provide secure and efficient AI model solutions tailored to specific industry needs.123
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Advisory Roles: Beyond investing, Jesse has served as an advisor for several startups, helping them navigate early growth challenges. Notable companies he has advised include fitmob (acquired by ClassPass) and Jackpocket.1
Recent Involvement with Arcee.ai
In January 2024, Jesse announced his investment in Arcee.ai, which is developing a platform for training, deploying, and monitoring SSLMs. This investment aligns with his belief in the need for precision and customization in AI applications, particularly for enterprise clients. Arcee.ai's approach focuses on security and operational efficiency, allowing companies to manage their AI models within their own infrastructure, thus addressing concerns about data privacy and vendor lock-in.234
Personal Background
Jesse's background includes a role as a technology group leader at LivePerson and experience as a network security engineer. He has a long-standing passion for technology, which began in his youth. Outside of his professional life, he is a family man, residing in New York City with his wife and two children.1
Through his investments and advisory work, Jesse Middleton continues to significantly impact the startup ecosystem, particularly in the realm of AI and technology innovation.
Highlights
Some of the best candidates don’t ‘look’ like best candidates.
To date, millions of candidates have come through Teal’s platform. Whereas LinkedIn sees job titles and dates, Teal sees the roles you’ve applied to, the skills you’re building, and the impact you’ve had that isn’t covered in your resume.
On the employer side, they’ve been training a model to really understand what a company is looking for. A founder can drop in a job description, and the system will come back with a ranked list of candidates plus a narrative for each.
For example, here’s why this person is a great fit, here’s how their experience maps to what you need, and here’s why they’re likely to be interested in this specific role.
One of the wildest things I’ve seen is that, in those explanations, it often doesn’t even mention the candidate’s current job title. In the traditional world, that’s the first thing hiring managers look at.
Teal’s approach basically says “forget the label for a second,” and “here’s the actual evidence this person can crush this job.” It’ll stitch together skills, projects, and career aspirations in a way that surfaces non-obvious matches you’d never find by filtering for “Senior Product Manager at X.”
I think that’s where hiring is headed:
• Away from simple credentials and job titles • Toward richer data on both sides
If Teal gets this right, we’ll see fewer mis-hires, more surprising but great matches, and a lot more people ending up in roles that actually line up with who they are and where they want to be.
If you’re hiring and this resonates, we’re opening up a small alpha to give a handful of teams an early look. If you’d like to see how Teal surfaces non-obvious, high-signal matches for your next role, drop a comment or DM me and we’ll share a sneak peek and get you on the list.
I’ve seen great markets ruined by the wrong people.
Almost every company we invest in at Flybridge starts with a great person. We backed the founders of Arcade before at a previous company that ended up getting acquired by Okta. Over years of working together, we watched how they operated when things were messy. We saw how they treated customers and how they communicated when something broke. So when they came back with a new idea, a big part of the decision was already made. We knew the humans. They were good people.
In other cases, though, the relationships we have with founders are newer and the track records are a lot shorter. In those cases, we lean harder on traction and references.
• What do early customers say about you? • Do the numbers match your story? • What do ex-teammates say?
Companies pivot, categories go in and out of fashion, strategies evolve. The thing that compounds most consistently is the quality of the people you choose to work with over and over.
