Senior Engineering Manager, Monetization

Duolingo is on a mission to develop the best education in the world and make it universally available. As a Senior Engineering Manager in Monetization, you will lead a product engineering team focused on core revenue-generating experiences, collaborating with various teams to define strategy and deliver high-quality systems.

Responsibilities:

• Form a tight partnership with your product manager to co-lead a cross-functional team, aligning on strategy, priorities, and success metrics
• Guide your team building and iterating on subscription and ad experiences that are intuitive, scalable, and measurable
• Collaborate with data scientists and machine learning partners to design experiments, apply personalization or targeting techniques, and translate insights into product improvements
• Own the planning and execution of projects that directly impact top-line metrics like revenue, and identify which metrics to optimize for at the team level
• Bring both technical and product perspectives to new ideas, helping your team identify the fastest and most effective ways to test hypotheses
• Set a high bar for engineering quality, promoting practices that improve reliability, scalability, observability, and long-term maintainability
• Develop your team, deeply understanding each engineer’s strengths and career goals, and proactively providing mentorship and stretch opportunities to help them grow their impact
• Set clear expectations and hold a high bar for performance, regularly providing candid feedback, addressing challenges decisively, and maintaining a supportive environment where engineers feel valued, engaged, and empowered
• Provide clarity and alignment, transparently communicating the “why” behind decisions, thoughtfully guiding your team through changes, and ensuring everyone understands their role in achieving team and company goals

Requirements:

• 2+ years of experience leading, managing, and building a team of software engineers
• 5+ years in software development focused on content or animation creation
• A track record of owning the execution of successful technical projects that span multiple engineers over multiple weeks
• Strong product instincts and comfort working in highly experimental, data-driven environments
• Excellent written and verbal communication skills, and experience aligning diverse sets of stakeholders
• Experience working closely with data, experimentation, or machine learning teams (direct ML expertise not required)