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обновлено 2 месяца назад

Staff Technical Program Manager (Compute & Data Infrastructure)

313 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Staff Technical Program Manager (Compute & Data Infrastructure): Lead and execute large-scale, cross-functional technical programs focused on software engineering, machine learning, and data infrastructure with an accent on strategic influence, technical depth, and data-driven decision making. Focus on managing ambiguity, driving program outcomes, building automation tools, and mentoring junior TPMs in a fast-paced environment.

Location: Onsite in Bellevue, Los Angeles, or Palo Alto, USA

Salary: $209,000-$313,000 annually depending on location and experience

Company

hirify.global is a technology company focused on camera-based communication, augmented reality, and innovative social products.

What you will do

  • Lead complex, cross-functional programs spanning multiple engineering organizations with deep technical understanding and strategic influence.
  • Own full program lifecycle from ideation to execution and operational excellence.
  • Partner with engineering and product leadership to shape roadmaps and technical decisions.
  • Use hands-on data analytics (Python, SQL, dashboards) to guide programs and communicate insights.
  • Build automation tools and improve internal systems to enhance platform reliability and efficiency.
  • Mentor and grow junior TPMs and engineers to scale organizational performance.

Requirements

  • Must be located onsite in Bellevue, Los Angeles, or Palo Alto, USA.
  • 11+ years of experience in engineering, data science, or technical program management with 6+ years in TPM roles.
  • Strong proficiency in Python, SQL, and data visualization tools.
  • Experience leading large-scale, ambiguous programs in fast-paced environments.
  • Excellent communication, leadership, and organizational skills.
  • BS/BA degree in analytical field or equivalent experience.

Nice to have

  • Background in software engineering, machine learning, or infrastructure systems.
  • Experience with big data technologies like Spark, Airflow, Hive, Kafka, or Flink.
  • Familiarity with cloud-native infrastructure (AWS, GCP) and containerization (Kubernetes, Docker).
  • Experience managing production systems, reliability, and cost optimization programs.

Culture & Benefits

  • Work onsite 4+ days per week to foster culture and collaboration.
  • Comprehensive medical coverage and paid parental leave.
  • Emotional and mental health support programs.
  • Compensation packages including equity (RSUs).
  • Commitment to diversity, equity, and inclusion.

Hiring process

  • Introductory conversation with hiring manager.
  • Technical screen covering program execution and engineering fundamentals.
  • Hands-on data analytics assessment via HackerRank (Python and SQL).
  • Virtual onsite with program leadership presentation and interviews with senior leaders.