Help us build the future of AI!
Join our team to pioneer the future of Large Language Model (LLM) applications.
Values we look for:Unwavering Integrity with Purpose: We operate with complete honesty and stay true to our mission.
Our work isn't just a job – it's driven by genuine passion and deep alignment with our goals.
Resourceful Innovation: We thrive in any environment, turning constraints into opportunities.
Our ability to adapt and find creative solutions with limited resources sets us apart.
Exceptional Drive & Execution: We combine sharp intellect with relentless execution.
Smart thinking alone isn't enough – we pride ourselves on turning great ideas into real results.
Elevate & Empower: We believe in collective growth.
Success means lifting those around us, sharing knowledge, and helping our teammates reach their full potential.
Deep Expertise: We value and cultivate deep domain knowledge.
True innovation comes from mastering our craft and understanding the nuances of our field.
Responsibilities:[Primary] Front-end/full-stack work for our managed applications/SaaS offering.
FE stack Next.JS, shadcn, react-query, etc.
Backend stack: Python, Node.JS, K8s, Docker, Terraform, Cloud services, databases, etc.
[Secondary] General feature development, maintenance, and education for our open-source frameworks (Python and Typescript).
[Secondary] Work closely with prospects and customers to build POC and production solutions.
Qualifications:Experience with shipped web applications or completely new product features from scratch.
Have gone from prototype to production serving end users in a short amount of time.
Shipped AI/LLM-native applications - from UX to core algorithms.
Iterated rapidly with customers - translate user feedback into features back to proactive user discovery.
Help jointly develop and iterate on product roadmap for core features.
Worked with product and design, demonstrating instances of wearing the PM hat yourself to proactively scope and design features.
Shipped applications that scaled to millions of users.
Nice to have: machine learning and NLP experience.
Benefits:Competitive base salary and equity compensation
Comprehensive medical/dental/vision coverage for you and your family
Unlimited paid time off policy
Daily catered lunch and snacks in the San Francisco office
Professional development and learning opportunities
Location:We offer a hybrid-friendly culture based out of our downtown San Francisco office.
Pursuant to the SanFrancisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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