Staff Product Manager, App Install

Role overview Set product direction for mobile app performance advertising, with a focus on helping advertisers acquire users and improve return on ad spend. This staff-level product role spans strategy, roadmap ownership, measurement, and delivery, working across technical and commercial teams to improve campaign results while protecting user trust.

Responsibilities - Define the product vision and roadmap for app promotion and performance optimization, balancing near-term improvements with longer-term product development. - Coordinate engineering, design, sales, ad operations, partnerships, and data science to deliver advertiser and marketplace outcomes. - Develop campaign tools, reporting dashboards, and measurement capabilities that help advertisers launch, assess, and optimize campaigns. - Analyze performance data, user journeys, and campaign effectiveness to identify opportunities and guide investment decisions. - Apply analytics and, where useful, machine learning to product prioritization and optimization features. - Build advertiser experiences that are intuitive and support privacy-conscious, user-centered advertising.

Requirements - At least 7 years of product management experience, including a record of launching and scaling return-on-ad-spend focused advertising products, particularly in app promotion or ad technology. - Practical knowledge of mobile advertising, attribution, measurement, fraud prevention, app store dynamics, and user acquisition. - Experience with mobile measurement partners, attribution or tracking vendors, marketing agencies, or third-party advertising and analytics integrations. - Familiarity with advertiser campaign workflows, user experience, and automation for advertisers or internal teams. - Strong analytical, strategic, written, and verbal communication skills, with evidence of delivering measurable business results. - Ability to influence across organizational boundaries and work effectively with multidisciplinary teams; a relevant bachelor's degree or equivalent experience.

Nice to have - Experience developing machine-learning-based optimization features; broader AI or machine learning product experience is a plus.

Benefits and work setup - Remote within the country, with in-person office collaboration required one to two times per quarter. - The position is eligible for equity. Relocation assistance is not available.