LiquidTrust builds practical, scalable payment solutions that empower small businesses to compete in global markets with greater security and confidence. In 2025, the company introduced Micro Escrow Pay, the first instant escrow solution designed specifically for SMBs, providing the same payment protections that were once only available to large corporations.
We are seeking an entrepreneurial Senior Software Engineer to join as a key early member of our team. As our second U.S.-based engineering hire, reporting directly to the CTO, you’ll play a critical role in designing and building the core of our secure micro-escrow payments platform—transforming how SMBs send and receive payments.
If you are are looking for the opportunity to make a large impact across a variety of areas, are , highly technical and seeking a once in a generation opportunity to change a trillion dollar industry (that’s how big global payments is!), this opportunity is for you.
the old language that's a bit of a counter example to this is php.
folks came out with a package manager in composer that was just so much better that everyone jumped to it. and then the IDE's finally got modern features, and then the runtime got much faster in php 7.
It's just by the time all this happened, "PHP sucks" had become"common knowledge" and it really fell off the popularity ladder. but not for lack of tooling.
C++ has also made a lot of strides in developer productivity, it just still has a bad rep.
if backwards compatibility is so hard, why not break it? replace git with git2 in all places (command line, URLs, protocol, etc) and make a git1to2 utility, and you are golden
Hi - we're Topaz Labs. We create AI-powered desktop software that solves photographers' biggest problems: think one-click noise reduction, super-simple masking, and pixel-perfect image upscaling. Our products are used by tens of thousands of paid customers every day, ranging from amateur photographers to major Hollywood movie studios.
We're looking for a Product Engineer to lead implementation for one of our core products. In this high-impact role, you'll work with R&D and design to build an exceptional user experience for our customers. You won't just own a small feature here - you'll lead implementation on a complete product for an obsessive customer base.
At Retina, we use data science and machine learning to deliver a customer playbook for consumer brands.
We do this by predicting individual-level customer lifetime value and using that to empower business leaders
to drive consumer engagement, acquisition, and growth.
We are venture-backed, and looking for A players. For more on what we do, see our blog https://retina.ai/blog/
At Retina, we use data science and machine learning to deliver a customer playbook for consumer brands.
We do this by predicting individual-level customer lifetime value and using that to empower business leaders
to drive consumer engagement, acquisition, and growth.
We are venture-backed, and looking for A players. For more on what we do, see our blog https://retina.ai/blog/
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.
If nobody has yet started one, sounds like an opportunity for patient-owned collectives to manufacture and distribute off-patent drugs for chronic diseases.
I'm thinking similarly to what was done for medical marijuana, but with more a credit union-type feel.
So long as legislation clears the hurdles to such organizations, it wouldn't cost taxpayers, and seems more in-line with the spirit of patent expiration.
Retina AI | DataOps and Data Scientists | Los Angeles, CA | Onsite
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.