Calendly is hiring a Customer Success Manager II to manage a scaled portfolio (200+ accounts), focus on renewals and expansion, and deliver a consistent, scalable customer experience using playbooks, automation, and usage data. Requires 2+ years in Customer Success/Account Management/Renewals within a SaaS/PLG environment. Role is remote within the United States; Calendly does not provide immigration sponsorship. Salary ranges by geographic tier are listed in the posting.

Join Calendly's Data Science & Machine Learning team to design, build, and operate AI-powered features end-to-end. The role requires 6+ years of industry experience shipping and running production ML applications, experience with GenAI/foundation models (fine-tuning, prompt engineering), strong programming (Python/Scala/Java/SQL) and data engineering skills, and participation in on-call/incident response. Candidates must be authorized to work in the United States.

Role requires 5+ years professional software experience with strong hands-on full-stack skills, demonstrated experience running product experiments end-to-end, and a data-driven approach. Tech stack examples: Ruby on Rails, Grape, PostgreSQL, Redis, React, TypeScript, Google Cloud Platform, Kubernetes, Argo Workflows. Candidates must be authorized to work in the United States (Calendly does not sponsor visas). Annual base salary ranges listed between $187,000 and $271,920 USD depending on geography/zone.

Lead Calendly's customer advocacy, social and PR channels, and AI discovery strategy to increase discoverability and trust across AI platforms and review sites. Build and scale advocacy, community, and review programs, partner cross-functionally, and measure impact with traditional and emerging AI discovery metrics.

Calendly is hiring a Staff Platform Engineer to deliver platform roadmap objectives and build a self-service platform for product teams. The role requires 10+ years of cloud infrastructure or software development experience, 4+ years leading technical projects, deep Go (Golang) development skills, expert knowledge of Kubernetes patterns (Controllers/Operators), and experience with GCP and observability (Datadog). The position is remote within the US, requires authorization to work in the United States, and may require occasional travel.

Calendly seeks an Engineering Manager for its mobile team to lead iOS and Android engineering (native and cross-platform experience preferred). Responsibilities include technical direction, driving roadmap execution with product and design, establishing mobile engineering best practices (testing, releases, incident response), hiring and career development, and promoting AI adoption to improve engineering productivity. Required: 5+ years software engineering experience and 3+ years engineering management experience.

Lead growth marketing strategy and execution across acquisition, activation, retention, and re-engagement. Own web, lifecycle marketing, paid and upper-funnel channels; drive experimentation, analytics, funnel optimization, and reporting. Build and mentor a growth marketing team and partner cross-functionally with Product, Sales, Brand, Analytics, and Finance. Requires 10+ years in growth/demand/performance marketing and 5+ years of leadership experience; experience with paid media, lifecycle marketing, analytics tools, and managing marketing budgets.

Calendly seeks a Senior Full Stack Engineer to build production-grade React and TypeScript user interfaces and design backend APIs and services (Node.js, Ruby on Rails or similar) working with PostgreSQL and microservices. Requires 7+ years experience, participation in on-call rotation, experience in 0-to-1 product environments, and authorization to work in the United States. Salary ranges (annual, USD) provided.

Join Calendly's Data Science & Machine Learning team to own end-to-end ML features: from problem discovery, experimentation, and model training to deployment, monitoring, and on-call incident response. The role requires hands-on experience shipping production ML (including managed services like Vertex AI or SageMaker), strong programming and data engineering skills, familiarity with frameworks such as TensorFlow/PyTorch, and experience with time series, embeddings/semantic search, and NLP. Annual base salary ranges listed between USD 168,785 and USD 245,434 depending on location/tier.