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1 день назад

Sr. Staff Technical Program Manager - Ads

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Staff Technical Program Manager - Ads (Advertising Technology/AI): Building and scaling advertising platform capabilities across ad serving, targeting, campaign management, measurement, experimentation, and data infrastructure with an accent on technical execution, architecture alignment, and measurable business outcomes. Focus on coordinating interdependent engineering and data teams, solving complex distributed-systems challenges, and applying AI tools to improve execution and decision quality.

Location: Remote - Canada

Company

hirify.global is a commerce platform serving millions of merchants in 175 countries and enabling entrepreneurs and enterprises to grow their businesses.

What you will do

  • Drive complex, cross-functional technical programs from problem definition and discovery through planning, implementation, launch, adoption, and optimization.
  • Translate strategic priorities into technical roadmaps, program plans, measurable outcomes, and prioritized execution.
  • Partner with engineering leaders on architecture, APIs, data flows, distributed services, technical constraints, trade-offs, and dependencies.
  • Build advertising platform capabilities across ad serving, targeting and personalization, campaign and budget management, auction and optimization systems, measurement, attribution, experimentation, and advertising data infrastructure.
  • Use metrics, instrumentation, reporting, and experiments to evaluate performance, identify risks, and guide decisions.
  • Align Engineering, Product, Data Science, Infrastructure, and business stakeholders; improve operational excellence, launch readiness, risk management, communication, and execution predictability.

Requirements

  • Extensive experience in technical program management, software engineering, technical product management, or a related technical discipline, with a track record of delivering complex programs involving multiple engineering teams.
  • Experience driving large, cross-organizational initiatives from strategy and problem definition through technical execution, launch, and measurable outcomes.
  • Strong technical judgment and experience participating in architecture and design discussions involving distributed systems, APIs, data platforms, or other complex software systems.
  • Experience translating business objectives into technical roadmaps, program plans, measurable success criteria, and prioritized execution across interdependent teams.
  • Ability to use data and analytical reasoning to evaluate trade-offs, assess performance, identify risks, and guide decisions.
  • Ability to influence without authority, align diverse stakeholders, navigate competing priorities, and drive decisions through ambiguity.
  • Strong written and verbal communication skills for explaining complex technical concepts and communicating program status, risks, and recommendations to technical and executive audiences.
  • Experience with dependency and risk management, milestone tracking, launch readiness, executive reporting, and continuous improvement.
  • Proactive and resourceful problem-solving approach with a bias toward action, accountability, and meaningful results.
  • Familiarity with AI-powered tools and coding assistants such as Cursor, Claude, ChatGPT, or Perplexity, and the ability to apply them thoughtfully to technical problem-solving and program execution.

Nice to have

  • Experience in digital advertising, advertising technology, ad platforms, commerce media, marketplace monetization, or performance marketing.
  • Familiarity with advertising lifecycle areas such as ad serving, targeting and personalization, campaign management, auction and bidding systems, measurement and attribution, experimentation, or revenue optimization.
  • Experience working with Data Science, Machine Learning, or Analytics teams on data-driven products, experimentation platforms, optimization systems, or ML-powered capabilities.
  • Experience operating large-scale, revenue-critical platforms where reliability, latency, scalability, data quality, and customer experience matter.
  • Experience defining and tracking business and technical metrics including incremental revenue, adoption, advertiser performance, conversion, experimentation outcomes, service reliability, or operational efficiency.
  • Experience leading platform migrations, system modernization, partner integrations, or multi-team initiatives with complex technical dependencies.
  • Experience using AI-assisted development, data analysis, automation, or rapid prototyping to improve execution speed and decision quality.

Culture & Benefits

  • Digital-first work environment.
  • Fast-paced environment with significant change, complexity, and ambiguity.
  • Emphasis on professional and personal growth, resilience, resourcefulness, critical thinking, and accountability.
  • AI-enabled tools may be used to screen, select, and assess applications; recruitment outputs are reviewed and validated.

Hiring process

  • Team fit and level are assessed throughout the interview process.
  • Applications receive a response within 10 business days when submitted for a specific role.

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