About freeflow
Humans are meant to interface using voice and visuals, so why do we spend so much of our work week on a keyboard? The keyboard is not the most efficient way to get work done, but it has been the primary work interface for the last 40 years. Freeflow will change that.
Simply screen record and talk about what is on your screen. When you stop the recording, freeflow uses your recording and generative AI to build any final piece of work output you want, in seconds. Freeflow leverages the rich context of your voice and screen video to generate professional work outputs. Users can decide their output format (e.g. a slack message, email, notion page, presentation, ticket, video, audio, etc), and share with the team, enabling users to communicate and work the way they prefer.
The freeflow founding team are second time founders who successfully exited their prior startup (Young Alfred - insurtech) in Dec 2021. Freeflow has closed a $2.5M preseed round from the same group of investors. We’re building a fully remote, small, capable, and high-performance team to become the backbone of freeflow as we scale. Early hires will join at the ground floor of a generative AI company that will change the way we work and communicate.
Our culture supports team members to do their best work by giving them the context and the control to get things done. We provide a framework for autonomy and ownership with freedom and responsibility to do what’s best for the company using your judgement and experience.
As a Founding Backend Software Engineer at freeflow you will
Be the founding backend software engineer on an engineering team that builds features which will deliver lasting value to customers
Create novel and optimal algorithms and models to capture context in multimodal inputs and produce accurate outputs
Design and implement complex, distributed event driven applications able to efficiently process large amounts of data, at scale
Build stable and scalable architecture, understanding the tradeoffs between consistency, durability, and costs to build solutions to meet the evolution of a rapidly growing platform
Apply SRE principles to consistently deliver value and growth reliably, owning all aspects of the software engineering process
Collaborate with both internal and external stakeholders to gather feedback and continually improve the platform
About You
8+ years of experience designing, building, and supporting large scale distributed systems
Systems programming experience skills including multi-threading, concurrency, etc.
Strong CS fundamentals with an appetite for learning
Knowledge about machine learning and artificial intelligence (e.g. coursework)
Collaborative teammate, willing to roll up your sleeves and use instinct to get things done the right way
Passionate about solving customer needs and love moving fast
Bonus
Interest in generative AI, foundational models, LLMs, deep learning, machine learning, and understanding the state of the art
Academic and/or professional experience building ML and AI models and integrating with software
Note, we don’t expect you to know everything listed above. What matters most to us is that you are experienced, enjoy solving hard problems independently, are passionate about technology, are an outstanding team player, and you are interested in learning and growing on the job professionally and personally.
Core Technologies We (Currently) Use:
We build APIs and event driven pipelines in Go and Scala with Python for ML and AI using Spark and Flink as distributed processing platforms
User interfaces in Typescript and React
Primarily Postgres and Kafka for data storage and message passing
Deployed to k8s in GCP, scripted in Terraform
What We Offer
Competitive compensation, stock options, health insurance
Home office setup stipend
Flexible PTO
Use the tooling of your choice to maximize your productivity (e.g. paid ChatGPT, GitHub Copilot, Intellij, etc)
Fully Remote $180,000-$220,000 a year + 0.50%-0.75% equity
United States only
