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DuolingoDuolingoNew York, NY

Senior Engineering Manager, Monetization

Leads cross-functional engineering team building scalable systems for ads, performance marketing, personalization, and revenue optimization. Partners with product, design, data science, ML, and marketing to drive ROI-aligned growth while fostering high-performing team culture.

204k – 306k
On-siteEngineering Management

About the role

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.

Requirements

  • 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.

Nice-to-Haves

  • 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.

Compensation

  • Salary Range: $204,000—$306,000 USD
  • Equity compensation and benefits available.

Skills

JavaScriptPythonReactiOSAndroidMachine LearningData ScienceKubernetesAdvertising PlatformsExperimentation Frameworks

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