Shape and deliver Duolingo’s security strategy, safeguarding learners, employees, systems, and services.
Compensation
Salary Range: $204,000—$306,000 USD
Responsibilities
Set technical direction for security across Duolingo’s applications, cloud infrastructure, and engineering systems.
Lead complex, multi-team security initiatives from problem definition and design through implementation, measurement, and ongoing ownership.
Design and build scalable security services, controls, and automation that prevent, detect, and remediate risks with minimal manual effort.
Partner with engineering teams to threat model systems, review architecture and code, prioritize risks, and deliver practical mitigations.
Strengthen security across the software-development lifecycle, including secrets management, dependency security, vulnerability management, and CI/CD controls.
Lead the Cloud Support Platform technical outlook, roadmap, and resilient architecture, partnering with product and engineering teams to deliver customer‑centric solutions.
Lead a geographically dispersed team to improve the end-to-end developer journey across the organization, driving AI tooling, process adaptation, and organizational transformation.
Compensation
Primary Location Base Pay Range: $308,000 USD - $462,000 USD
Additional US Location(s) Base Pay Range: $308,000 USD - $462,000 USD
Responsibilities
Develop comprehensive DevEx strategy and roadmap
Build the Developer Experience function from the ground up
Lead AI and automation integration
Implement measurement frameworks and analytics
Map existing DevEx landscape
Requirements
Advanced degree in Computer Science or related field
Nice to have: Experience building a developer platform for an enterprise SaaS product
Nice to have: Active participation in developer communities and open-source projects
Enable Google-caliber client service across a dynamic product and tech stack in the GP Sellside business, identifying scalable growth vectors and building the rails to bring them to market.
Own the business opportunity lifecycle across global publisher products, identifying scalable growth vectors based on commercial roadmaps, business needs, and deep partner data analysis.
Develop, model, and maintain robust datasets within Salesforce and core reporting systems to enable accurate tracking, measurement, and activation across sales teams.
Support the enterprise AI transformation by integrating opportunity intelligence into novel surfaces, including Gemini Enterprise and native interfaces like Ask Ad Manager.
Maintain stringent opportunity quality frameworks, monitoring operational metrics, publisher performance trends, and pipeline health to maximize conversion business impact.
Partner with Sales, Product Management, Engineering, and specialist teams to deploy programmatic solutions, streamline technical collateral, and scale self-serve publisher growth globally.
Requirements
Bachelor’s degree in Engineering
Computer Science
Nice to have: digital advertising space
Nice to have: publisher or developer-facing B2B products
Nice to have: technical and business team collaboration
Staff Security EngineerNewDuolingo · New York, US
Sr Software Development EngineerNewAmazon · Sunnyvale, US
Engineering Manager, Cloud Support PlatformNewGoogle · Austin, US
Research Data Analyst (Epidemiology)NewJohns Hopkins University · Remote, US
Manufacturing Test Engineer Co-OpNewBoston Dynamics · Waltham, US