Full Stack Software Engineer

Recruiting From ScratchSan Francisco, CA
1d$200,000 - $280,000Onsite

About The Position

A venture-backed AI startup is building a next-generation generative AI scheduling agent designed to transform how people coordinate time. By integrating with email and calendar data, the platform enables intelligent meeting coordination and serves as the foundation for a broader ecosystem of AI agents designed to help individuals and teams manage time more effectively. The company is in its early growth stage with a small, high-performing team and strong backing from leading investors and technology leaders. Despite being early, the product has already demonstrated exceptional user engagement and strong early revenue traction. This is an opportunity to join a small, ambitious team at a pivotal moment and help shape the future of AI-driven productivity tools.

Requirements

  • 2+ years of experience building and shipping production software.
  • Experience working at a high-growth technology company or well-regarded startup environment.
  • Strong backend engineering fundamentals, including designing reliable and scalable systems.
  • Experience building product features that incorporate AI/LLM capabilities or intelligent automation.
  • Comfortable contributing across the stack when necessary.
  • Strong product mindset with a focus on delivering meaningful user value.
  • Experience working with data models such as relationship graphs, contact graphs, or network-based data structures.
  • Ability to work collaboratively with a small, fast-moving engineering team.

Nice To Haves

  • Experience at high-performing startups or large-scale technology companies.
  • Familiarity with modern web development frameworks (e.g., React).
  • Experience with backend technologies such as Node.js or TypeScript.
  • Experience with relational databases such as PostgreSQL.
  • Exposure to AI/LLM integrations and human-in-the-loop systems.
  • Interest in productivity tools, scheduling systems, or collaboration platforms.
  • Computer Science or related technical degree.

Responsibilities

  • Build and scale the intelligence layer of a generative AI scheduling agent that coordinates meetings across individuals, teams, and time zones.
  • Design and implement backend systems that interpret behavioral signals, relationship data, and calendar activity to drive intelligent scheduling decisions.
  • Develop product features that enable contextual meeting recommendations, automated scheduling, and AI-driven coordination.
  • Work across the stack when needed, contributing to both backend services and user-facing product features.
  • Collaborate closely with product and design teams to deliver intuitive and highly responsive user experiences.
  • Architect reliable and scalable infrastructure to support real-time scheduling interactions and complex coordination logic.
  • Integrate AI/LLM technologies into production systems that interact with real-world user workflows.
  • Help shape the long-term technical direction of a platform that may support a wide range of AI-powered productivity agents.

Benefits

  • Early-stage equity package (typically 0.1% – 0.5%)
  • Visa Sponsorship: Available on a case-by-case basis
  • Opportunity to help build one of the earliest multiplayer AI applications and shape the future of AI-driven productivity
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service