Calendly
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Recently posted jobs
HR Tech • Software
Lead and grow a mobile engineering squad building highly-available, distributed SaaS products. Drive technical execution, mentor engineers, run Agile ceremonies, hire, participate in on-call, and partner with Product, Design, Security, Data, and GTM to deliver roadmap outcomes.
HR Tech • Software
The Engineering Manager will lead teams in developing and executing complex, scalable products while mentoring engineers and managing cross-functional collaboration.
HR Tech • Software
Lead the strategy and execution for Calendly's data platform, overseeing engineering practices, team development, and cross-functional collaboration to leverage trusted data across the organization.
HR Tech • Software
Lead and mature Calendly’s compliance and risk program (SOC 2, ISO 27001). Design and operationalize controls, run audits, perform risk assessments and UARs, manage remediation, optimize compliance automation, produce risk reporting and dashboards, and partner cross-functionally to embed compliance into product and business processes.
HR Tech • Software
The Senior Director of Growth Marketing will lead customer acquisition and retention initiatives, optimizing marketing strategies and improving funnel performance.
HR Tech • Software
The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.
HR Tech • Software
As a Full Stack Engineer III at Calendly, you'll develop features, scale the platform, and mentor team members while using various technologies.
HR Tech • Software
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.
HR Tech • Software
The role involves owning and delivering AI-powered features for Calendly, collaborating with multiple teams, and applying machine learning solutions for product enhancement.
