# Senior Engineering Manager, Monetization

**Company**: Duolingo
**Location**: Pittsburgh, PA
**Experience**: senior
**Job type**: full-time
**Salary**: $204,000-$306,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/duolingo/jobs/8534630002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_852e20a7-7d5

## Description

Our mission at Duolingo is to develop the best education in the world and make it universally available.

Duolingo's Monetization pillar builds the systems that fund our mission , from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond.

As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first.

**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 Have**

- 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.

**Benefits**

- Salary Range: $204,000-$306,000 USD

- Equity compensation and world-class benefits

## Skills

### Required
- software engineering
- team management
- product instincts
- communication
- data analysis
- experimentation
- machine learning

### Nice to have
- advertising platforms
- ad tech integrations
- COPPA-compliant ad solutions
- programmatic levers
- ML-powered personalization

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/duolingo/jobs/8534630002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)