We’re on a mission to redefine how businesses capture, analyze, and act on customer conversations—competing head-to-head with the likes of Gong, Fireflies, and Avoma. Our AI SaaS platform is built to unlock powerful insights, deliver seamless integrations, and enable the next generation of conversation intelligence.This is a founding team role at an extremely early stage. If you’ve ever wanted to build a category-defining product, lead engineering from day zero, and shape the technical DNA of a company—this is that opportunity.

What You’ll Own

End-to-end product & engineering ownership:
from architecture → development → deployment → scaling
Tech vision & roadmap:
define the future of AI-powered conversation intelligence
Core product build:
lead development of real-time transcription, NLP, analytics, and integrations
AI/ML innovation:
work with cutting-edge LLMs, speech-to-text, embeddings, RAG, and automation models
Infrastructure:
design scalable, secure systems built for enterprise
Hiring:
build and lead the engineering & ML teams
Security & compliance:
ensure enterprise-grade privacy, SOC2 readiness, and data governance
Fundraising:
join founders in pitching and shaping our technical narrative
Customer-facing:
collaborate with design, founders, and enterprise users to build what matters

Who You Are

4–10 years experience building and scaling B2B SaaS platforms
Deep expertise in one or more:
Speech AI (STT, diarization, sentiment, call analytics)
NLP/LLMs (OpenAI, Whisper, RAG, fine-tuning, model evaluation)
Scalable backend engineering (Python, Node, Go, or similar)
Cloud DevOps (AWS, GCP, containerization, security, CI/CD)
Comfortable working with ambiguous requirements and building 0→1 products
Experience integrating with enterprise ecosystems (CRMs, dialers, meeting platforms, APIs)
A builder with a bias for speed, iteration, and ownership
Bonus: Have shipped ML products, led engineering teams, or worked in AI infrastructure

What You Get

Co-founder status with meaningful equity/sweat equity

Full ownership and freedom to architect, build, and scale the product
Influence on company vision, product direction, and hiring culture
Ability to build a high-impact AI product with real global scale potential
A fast-moving environment where execution, innovation, and ownership matter

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