Senior Engineering Manager, Monetization
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
What this role actually needs.
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! 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. Company context: Duolingo is the public language-learning platform applying ML, gamification, and data science at consumer scale.
Day-to-day expectations
Duolingo lists these responsibilities for the Senior Engineering Manager, Monetization role.
- 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.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
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Open the source listing from careers.duolingo.com, confirm the role is still active, then apply on the employer or ATS page.
Source: careers.duolingo.com · Source ID: 8537884002 · Confidence: 89/100 · Last checked: May 7, 2026
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