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We first met as early team members at LiveRamp (NYSE: RAMP) with Travis as CEO, Eddie leading engineering, and Chris driving sales. Post-LiveRamp, we became serial entrepreneurs: Travis founded Datavant (2021 exit: $7B merger), and Eddie and Chris started Wove (2019 exit).
In February 2024, over dinner, we discussed our strong belief in the gen AI hype cycle—the first such cycle we fully embraced. We recognized the widespread challenge enterprises faced in implementing this technology and saw immense value in custom gen AI projects.
Convinced of gen AI's transformative potential—especially in automating complex workflows within large enterprises—we saw a clear need for exceptional engineering and custom solutions. That’s why we launched Fractional AI: to lead AI-powered transformation through custom builds and top engineering talent.
The market for AI services is immense, and Fractional AI is on a path to becoming a dominant player.
Every C-suite in the country is trying to bridge the gap between AI theory and practice, but most companies lack the talent. Fractional AI fills this gap with top-tier engineers and custom AI builds.
Join us and work on genAI projects for leading companies while being part of an SF-based, engineering-first startup.
We're growing fast, with more demand than we can staff, and are building the next multi-billion-dollar professional services business.
Build on the forefront of applied AI
You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.
Solve big, real problems
Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.
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Learn with and from the best in person
We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco office means things like team lunches, quick brainstorming, and the right amount of banter.
Preference for just speed or quality
We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.
Predictability is important to you
You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.
Customers aren’t your thing
You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.
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Over “Engineer” the Culture
We’re building the ultimate work environment for great engineers. What do great engineers love most? Working with other great engineers. Our early engineering team is truly incredible and we will never lower the bar. We pick the most exciting projects, avoid maintenance (even when it’s profitable), and we’ll do everything we can to minimize bureaucracy as we scale the team. WWMFBFGE doesn’t have a great ring to it, but it’s currently the north star for the company: What Would Make Fractional Better For Great Engineers?
Overuse AI
Eventually this one might look silly - “Overuse Computers” makes no sense as a company value today. But imagine it in the late 70s and what do you see? We picture a company full of computer power-users dominating their competition for the next 3+ decades. From the outside that company looks terrifying. On the inside it’s a bunch of nerds having fun with computers. We’re building this company. To do this successfully we need to constantly go out of our way to experiment with the latest tools and share what we learn with our teammates. Sometimes gen AI gives you superpowers, and sometimes it fails to be useful. If you aren’t experiencing both on a regular basis, then you aren’t reaching for these tools enough. We need to overdo it a bit to build a culture at the frontier of a technology that’s evolving at lightspeed.
Overdeliver
We succeed on difficult projects where many capable engineers have failed before us. We prioritize excellent code and take pride in deploying solutions that delight our customers. Technically speaking our clients are responsible for maintaining the code we ship, but in reality this distinction hardly matters because so little maintenance is ever required. Our clients will rave about us privately and publicly, during our engagement and long after. Overdelivering is how we’ll build our reputation as the world’s best applied AI engineering team.
Build on the forefront of applied AI -- play a leading role in building and shipping AI applications for our customers.
This role is part product management, part technical pre-sales, part consulting, and part strategic relationship building. As a Forward Deployed PM, you will lead dozens of 0-to-1 AI product builds for our customers and help shape the function for the next 100+ deployments.
We're always on the lookout for exceptional talent. If you don’t see a role that aligns with your unique skills and experience, pitch us a role you think would make a difference at Fractional AI, and let us know how you can contribute to our mission.
Access to talented AI Engineers is the biggest roadblock for Private Equity firms in executing creative, AI-driven transformations across their portfolio companies. We are looking for an entrepreneurial, strategic, and hungry General Manager to build our Private Equity Practice Area from the ground up, charting our strategy and unlocking Private Equity as a key channel.
Most AI projects never cross the finish line. But at Fractional AI, 100% of our projects are currently in production or on track for production deployment.