Staff Technical Program Manager (AdTech)

Location: Seattle, Washington, United States

Salary: $183,000–$229,000 USD annually for Region B, which includes Seattle.

Company

hirify.global builds AI-powered advertising and commerce media solutions on a planet-scale machine learning platform.

What you will do

• Coordinate engineering, product, leadership, and stakeholder alignment on priorities, schedules, risks, and progress.
• Own cross-team technical initiatives from conception through completion.
• Create and manage roadmaps, release schedules, risks, issues, and dependencies across organizations.
• Lead security, privacy, compliance, operational excellence, and operational readiness initiatives.
• Establish scalable and repeatable processes that improve engineering, product, and operational efficiency.
• Help grow the technical program management function.

Requirements

• Work location: Seattle, Washington, United States.
• 5+ years of technical program management or engineering management experience.
• 7+ years working directly with software, cloud, or data engineering teams.
• Experience managing projects, risks, dependencies, and release schedules with Product, Engineering, GTM, and cross-functional teams.
• Experience with agile software development, SDLC processes, and large-scale cloud products.
• Bachelor’s degree in computer science, engineering, or a related technical discipline.

Nice to have

• Experience in e-commerce and ad tech.
• Passion for learning about technologies and products.

Culture & Benefits

• Medical, dental, and vision insurance for U.S.-based employees.
• 401(k) plan with company match, disability coverage, basic life insurance, and well-being benefits.
• Up to 12 scheduled paid holidays and one quarterly Thrive Day for U.S.-based employees.
• Flexible Time Off for all employees.
• Potential eligibility for performance-based bonuses and equity awards.
• Values include humility, continuous growth, real customer value, and collaborative execution.

Hiring process

• Interview rounds are designed to assess candidates without AI assistance unless AI is explicitly included in a round.