Jobs / United States / Calendly

Senior Full Stack Engineer, AI Scheduling

Calendly · 🇺🇸 Remote - US · Remote

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jan 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Calendly paid sponsored hires in similar roles1 certified filing for “Staff Data Engineer” (Software Developers) in WA: $240k–$240k, median $240k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Calendly

1 H-1B filing certified since Oct 2025

The US Department of Labor certified 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jan 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Calendly →

About the role

What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity Calendly’s AI Scheduling team is building AI-native solutions on top of our best-in-class scheduling product, creating new ways for customers to automate scheduling, reduce coordination work, and get more value from Calendly. We’re looking for a Senior Fullstack Engineer who is equally comfortable building polished React and TypeScript experiences and designing the backend APIs, services, data flows, and integrations that power them. You’ll report to the Engineering Manager on the AI Scheduling team and own meaningful customer outcomes. This is a high-ownership role in a fast-moving, 0-to-1 product environment. You’ll turn ambiguous problems into pragmatic solutions, lead projects independently from discovery through launch, and help grow the product’s user base by improving activation, reliability, and trust; fixing customer-facing issues; and adding valuable new capabilities. You’ll partner closely with our ML engineers, who own much of the model and agent behavior, and flex into prompts, evaluations, guardrails, or AI-service work as needed. A day in the life of a Senior Fullstack Engineer at Calendly On a typical day, you will be working on: • Collaborating within your team to build new features that are targeted at our highest impact enterprise customers • Contributing to platform scaling initiatives • Meeting regularly with Product and Design to fine tune requirements • Attending agile ceremonies to help your team plan out their work and get it done • Working across squads to improve Engineering practices at Calendly • Reviewing implementation plans and pull requests from your peers • Mentoring and coaching other team members What do we need from you? We’re looking for a balanced fullstack engineer with strong product judgment, a bias toward action, and the ownership to move important work forward without step-by-step direction. You’ll spend most of your time coding and architecting systems while helping the team make sound decisions and execute reliably. • 7+ years of software engineering experience at a SaaS or technology company, with a track record of delivering high-quality customer-facing products. • Proven success in a 0-to-1 product environment, where requirements evolve, iteration is fast, and engineers help shape both the problem and the solution. • Significant experience with modern frontend development, including: • Building complex, production-grade user interfaces with React and TypeScript or similar technologies. • Working with state management, routing, forms, asynchronous data fetching, component libraries, and design systems. • Strong hands-on backend experience, including: • Designing and implementing REST or GraphQL APIs in Node.js, Ruby on Rails, or a similar web framework. • Working with relational databases such as PostgreSQL and understanding how schema and query design affect performance and reliability. • Building and operating service-oriented or microservice architectures across system and team boundaries. • Demonstrated ability to lead complex projects independently from discovery through launch and iteration, including coordinating cross-team dependencies and driving decisions to closure. • Experience building customer-facing AI or LLM-powered products is preferred, especially

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Source: Greenhouse (employer board) First seen: 2026-08-14 Last confirmed: 2026-10-03 How our data works → Report this job

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