Quick overview
Job description
About the Role
Join an early-stage B2B SaaS team building an AI-powered system for go-to-market workflows. You will shape customer-facing product experiences that connect data sources, sales sequences, and AI agents, working closely with the founders and shipping improvements regularly.
What You'll Do
Build and improve the sequence and enrollment experience, including per-lead customization, multiple senders, and conditional branching.
Develop AI agent features that research, draft, and enroll on behalf of users.
Create evaluation and observability tools that help customers understand and trust AI-driven workflows.
Bring existing features to production-ready quality across the frontend, backend, and deployment pipeline.
Work directly with customers in real-time channels to turn requests and feedback into product improvements.
Partner with the founders on product direction and make thoughtful design and usability refinements.
What We're Looking For
Three to four years of experience building and shipping production software at early-stage startups.
Full-stack production experience with Next.js, React, Python, and FastAPI.
Experience taking customer requests from interface design through backend implementation and production deployment.
Experience building and shipping features with Supabase or a similar backend-as-a-service platform.
A degree in data science, computer science, industrial engineering, or operations, or equivalent professional experience in these areas.
Comfort working directly with customers and translating feedback into product improvements.
Side projects, open-source work, or a GitHub portfolio that demonstrates rapid iteration and practical Python problem-solving are valued.
Experience as a founder, founding engineer, or early hire at a startup is a plus, as is a portfolio showing strong product and engineering craft.
Compensation & Benefits
Base salary is $150,000 to $230,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California.
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