just words
Scale hyper-personalized messaging with AI
Founding Product Engineer
About the role
As a Founding Product Engineer, your responsibility would be to help us build and scale our product from the ground up. You must be willing to bet on yourself and build expertise quickly.
We’re excited to welcome someone who has a strong startup mindset. They get a kick from the type 2 fun from spending long hours solving impossible tasks. They are curious, impatient to learn, opinionated, and excited about making a dent in the world. Your passion and motivation are important to us.
Qualifications:
- 3+ years of industry experience in full-stack development.
- You have experience designing cloud architectures.
- Strong proficiency in frontend and backend languages. Preferred frontend language is Typescript (NextJS is a plus), and preferred backend language is anything that is strongly typed (Java, Scala, Rust).
- Proficiency in SQL and understanding of database design. (PySpark is a plus).
- Hands-on experience with cloud and auth platforms (e.g., AWS, Cloudflare, Clerk) and DevOps practices.
- Experience with A/B experimentation, ML modeling, and deployments.
Why Join Us:
- Grow and learn 10X faster compared to big-tech.
- Be a part of the founding team that’s shaping the future of AI+Growth.
- Opportunity to work on cutting-edge technology and solve complex problems.
- Get first-hand experience in building 0-1 startups alongside founders.
- Be involved in critical decision-making to sustain and scale businesses.
About just words
The future of Marketing is 1-1 hyper-personalized messaging. However, marketers spent multiple cycles setting up an "octopus" on CRM journey builders to manually write content for each persona and segment. Further, A/B testing is sequential and takes weeks to show results.
We drift away from the old school A/B testing world to dynamic testing. Companies can test 100+ messaging variants within a month, let AI optimize traffic for winning variants, and walk away with insights without operational setup overhead for every A/B test. We put companies in a state of continuous "always-on" testing.
