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Lead and scale the customer support organization, define strategy and KPIs, oversee multi-channel support operations, partner cross-functionally to drive product and process improvements, optimize tools and automation, manage budgets and escalations, and develop training to ensure high customer satisfaction and operational efficiency.

The Senior Director of Growth Marketing will lead customer acquisition and retention initiatives, optimizing marketing strategies and improving funnel performance.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

As a Full Stack Engineer III at Calendly, you'll develop features, scale the platform, and mentor team members while using various technologies.

Own and operate Calendly's Identity and Access Management strategy, tools, and lifecycle processes. Design and implement secure access controls, automation for provisioning/deprovisioning, entitlement governance, and integrations (Okta, Google Workspace, cloud platforms). Conduct audits, maintain documentation and dashboards, troubleshoot IAM issues, and lead governance discussions with executives and cross-functional teams to align security and business needs.

Lead compensation strategy and execution for bi-annual pay cycles, benchmarking, promotions, offers, and compliance. Maintain salary bands and Workday compensation data, advise leaders, partner with Finance and TA, manage vendor participation, and deliver data-driven recommendations and executive materials.

The role involves owning and delivering AI-powered features for Calendly, collaborating with multiple teams, and applying machine learning solutions for product enhancement.

Design, build, and extend Calendly's infrastructure platform; develop cloud-native tools and APIs (primarily in Go) using Kubernetes patterns; guide application development, mentor teams, ensure reliability and observability, and participate in on-call rotation.

Synthesize analyses across product, marketing, reporting, and data science to create executive-ready narratives and decision materials. Partner with analytics teams and business leaders to surface high-impact insights, improve discoverability and adoption of analytics, set standards for storytelling, and ensure insights drive organizational alignment and action.

Build and ship full‑stack growth experiments end-to-end to improve acquisition, activation, engagement, and monetization. Collaborate with product, design, and analytics, analyze experiment results, iterate quickly, and contribute to experimentation platform and growth infrastructure while balancing speed, quality, and long-term maintainability.