Technical Program Manager, Google Play Monetization, Devices and Services

Responsibilities

• Lead and coordinate projects that span offices, product areas, and time zones, ensuring all players are aligned on progress and deadlines.
• Maintain flexibility to collaborate across global time zones, which includes participating in evening meetings to sync with international stakeholders and cross-site partners.
• Partner with engineering and product leads to accelerate organizational execution and drive high-priority initiatives.
• Manage the organization’s portfolio planning and prioritization, drive roadmap/OKR planning, milestones, and software schedules in partnership with product and engineering.
• Advocate the use of AI best practices and tools to automate workflows, reduce manual toil, and improve overall program efficiency.
• - Lead and coordinate projects that span offices, product areas, and time zones, ensuring all players are aligned on progress and deadlines. - Maintain flexibility to collaborate across global time zones, which includes participating in evening meetings to sync with international stakeholders and cross-site partners. - Partner with engineering and product leads to accelerate organizational execution and drive high-priority initiatives. - Manage the organization’s portfolio planning and prioritization, drive roadmap/OKR planning, milestones, and software schedules in partnership with product and engineering. - Advocate the use of AI best practices and tools to automate workflows, reduce manual toil, and improve overall program efficiency.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree in a technical field, or equivalent practical experience. - 5 years of experience in technical program management. Preferred qualifications: - 5 years of experience managing cross-functional or cross-team projects. - Proven track record of managing portfolio planning and roadmap prioritization, ensuring alignment between engineering, product, and executive North Star metrics. - Proficiency in leveraging AI tools and frameworks to automate workflows, enhance data-driven decision-making, and accelerate program execution. - Ability to apply technical judgment to navigate engineering scope, assess feasibility, and manage dependencies across a global stack.