Full-Time

Software Engineer

Product & Growth

Blockit AI

Blockit AI

11-50 employees

AI-powered autonomous scheduling and negotiation platform

No salary listed

San Francisco, CA, USA

Hybrid

Four days on-site per week required.

Category
Software Engineering (1)
Required Skills
LLM

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Requirements
  • At least 2 years of industry experience shipping production software.
  • Ability to work across the software stack as needed.
  • Product sense focused on user experience, correctness, and clarity.
  • A pragmatic approach to building software, including quickly validating and hardening successful work.
  • Clear written and verbal communication when working across engineering, design, and users.
Responsibilities
  • Build new features end-to-end across backend, frontend, and agent integrations.
  • Add new tools and capabilities to agents to handle new workflows.
  • Build and improve integrations with external services, including Slack, email, and calendar providers.
  • Collaborate with design and go-to-market teams to identify missing or broken user experiences.
  • Prototype quickly, ship features, and iterate based on findings.
  • Work across the codebase and different systems.

Blockit AI provides an AI-powered executive assistant platform that autonomously negotiates and schedules meetings by deploying AI agents that coordinate via calendars, emails, and Slack. It integrates with Google and Outlook calendars, supports time zones, operates 24/7, and learns user preferences using natural language processing. It differentiates itself with dynamic, context-aware dialogue instead of static booking links and can infer priorities from email tone. Its goal is to reduce back-and-forth and secure optimal meeting times, with pricing of $1,000 per year for individuals and $5,000 per year for multi-user teams, after a 30-day free trial.

Company Size

11-50

Company Stage

Seed

Total Funding

$5M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Blockit reported 200+ customers, including Brex, Together.ai, a16z, Accel, and Index.
  • Its February 2, 2026 launch said teams scheduled hundreds of thousands meetings.
  • Pricing of $1,000 yearly and $5,000 team licenses supports high-margin ARR.

What critics are saying

  • Blockit faces cheaper rivals like Carly, Howie, and Calendly with broader reach.
  • Agent-to-agent scheduling works best when both sides use Blockit, limiting network effects.
  • If scheduling agents become standard features inside Google and Microsoft, Blockit becomes obsolete.

What makes Blockit AI unique

  • Blockit's agent-to-agent negotiation replaces static booking links, unlike Calendly and Cal.com.
  • John Han built Google Calendar, Timeful, and Clockwise; product depth shows.
  • Sequoia's Pat Grady led Blockit's $5 million seed on January 22, 2026.

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Growth & Insights and Company News

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TechCrunch
Jan 23rd, 2026
Former Sequoia partner’s new startup uses AI to negotiate your calendar for you | TechCrunch

Blockit, an AI agent that communicates directly with other calendars, has raised $5 million in seed funding led by Sequoia.

Tech in Asia
Jan 23rd, 2026
Sequoia leads $5m seed round for AI calendar startup Blockit

Sequoia leads $5m seed round for AI calendar startup Blockit. Former Sequoia partner Kais Khimji has launched an AI-powered calendar scheduling startup called Blockit, which aims to automate meeting arrangements. The company, which recently closed a US$5 million seed round led by Sequoia, plans to use large language models to handle scheduling more effectively than previous solutions. Unlike platforms like Calendly, Blockit's AI agents communicate directly between users' calendars to negotiate meeting times without human involvement. The system can be activated via email or Slack, and it learns user preferences to prioritize meetings based on tone and importance. Blockit is currently used by over 200 companies, including Brex and Rogo, and offers a free 30-day trial. How would you feel if you could no longer use Tech in Asia?