Note: The job is a remote job and is open to candidates in USA. Duolingo is on a mission to develop the best education in the world and make it universally available. As a Senior Engineering Manager in the Monetization pillar, you will lead a cross-functional product engineering team to build and scale systems that drive revenue while maintaining a learner-first approach.
Responsibilities
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems
Skills
- 2+ years of experience leading, managing, and building a team of software engineers
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required)
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps
Company Overview
Company H1B Sponsorship