Required Skills
5+ years of experience in ML/AI
early-stage startups (pre-Series A or Seed)
Deep experience with NLP
Strong software engineering background
Full-stack ML skills
Python
Scikit-Learn
TensorFlow
PyTorch
AWS stack
MLOps tools
Job Summary
Redefining customer support through the power of generative AI, automation, and low-code tools. We enable CX teams to build intelligent support flows and AI agents without relying on engineers—think ChatGPT, tailored to your brand, that can take real-time actions for your customers and support staff.
We’ve grown 4x in 2024 and are on the path to raising our Series A in Q1 2025. With $7.5M in funding from top-tier investors like Village Global (backed by Jeff Bezos, Bill Gates, Reid Hoffman) and Bling Capital.
Our team of 20+ includes former leaders from Uber, Plug and Play, and Stanford GSB. Customers include category-defining brands like GoodEggs, Dollar Shave Club, Trustwallet, Minted, and NomNomNow (acquired for $1B).
We move fast, ship with ownership, and are building a team of high-impact individuals who want to leave a dent in the world of AI and customer experience.
Experience
5+ years of experience in ML/AI, ideally in fast-paced, early-stage startups (pre-Series A or Seed).
Deep experience with NLP, transformers, and large language models (OpenAI, LLaMA, HuggingFace ecosystem, etc.).
Strong software engineering background; capable of building and deploying production-grade ML pipelines.
Full-stack ML skills: data pipelines, model training/fine-tuning, deployment, and post-launch monitoring.
Proficiency in Python, Scikit-Learn, TensorFlow and/or PyTorch.
Experience with AWS stack (S3, EC2, Kinesis, etc.) and MLOps tools.
BS/MS/PhD in CS, AI, or related field—or equivalent real-world experience.
Bonus: Experience in customer support/CX platforms, technical co-founder background, or prior ML leadership.
Job Responsibilities
- Lead ML Innovation: Design and build state-of-the-art AI and ML systems that directly power our support automation engine, LLM agents, and intelligent workflows.
- Own Full-Stack ML Development: From data preprocessing and model experimentation to deployment and monitoring in production—own the full ML lifecycle.
- Push the Boundaries of NLP & GenAI: Leverage large language models and fine-tune custom models to deliver personalized, real-time support automation at scale.
- Cross-Functional Impact: Work closely with engineering, product, and design to build scalable, elegant ML solutions that integrate tightly into our platform.
- Mentorship & Future Leadership: While this is an IC-heavy role, we’re looking for someone who can grow into a technical leadership position as we scale the ML team.
Desired Skills
Experience in customer support/CX platforms
technical co-founder background
ML leadership
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