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5 дней назад

Staff Technical Program Manager, ML Platform

209 000 - 313 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Staff Technical Program Manager, ML Platform (Python/SQL/ML infrastructure): Leading complex, cross-functional programs across engineering organizations to improve ML platform reliability, operational stability, performance, and scalability with an accent on hands-on data analytics, technical roadmaps, and platform transformation. Focus on building dashboards and automation tools, managing architectural trade-offs and dependencies, and driving operational excellence across ambiguous, high-impact programs.

Location: Los Angeles, Palo Alto, or Seattle; office work is expected 4+ days per week under hirify.global's “default together” policy.

Base salary: $178,000–$313,000 annually, depending on pay zone, skills, experience, qualifications, and work location. The position is also eligible for RSUs.

Company

hirify.global is a technology company operating hirify.globalchat, Specs, Bitmoji, Saturn, and other digital services focused on visual communication and human-centered computing.

What you will do

  • Lead complex, cross-functional programs spanning multiple engineering organizations and technical dependencies.
  • Own high-priority programs from ideation through execution and operational excellence.
  • Partner with engineering and product leaders on roadmaps, technical decisions, architectural trade-offs, and accountability.
  • Use Python, SQL, notebooks, dashboards, and data analysis to guide programs and communicate insights.
  • Build automation tools, improve internal systems, and drive platform-wide reliability, efficiency, performance, and cost optimization.
  • Mentor junior TPMs and engineers while establishing the operating rhythm for scalable engineering systems.

Requirements

  • Bachelor's degree in computer science, mathematics, statistics, or a related technical field, or equivalent experience.
  • 11+ years of experience across engineering, data science, or technical program management in software or technology, including 5+ years in technical program management.
  • Experience leading large-scale, ambiguous programs across distributed, cross-functional teams, particularly around production reliability, operational stability, and performance.
  • Strong proficiency in Python and SQL, with experience analyzing systems, building tools, or informing technical decisions with data.
  • Experience with data visualization tools such as Grafana, Looker, or Tableau, plus GitHub and JIRA.
  • Experience working with engineers on technical design, architectural trade-offs, roadmap planning, and high-visibility initiatives.

Nice to have

  • Background in software engineering, machine learning, infrastructure systems, or internal developer platforms.
  • Experience with Spark, Airflow, Hive, Kafka, Flink, AWS, GCP, Kubernetes, or Docker.
  • Knowledge of ML development workflows, model lifecycle management, or experimentation frameworks.
  • Experience with production systems, reliability initiatives, cost optimization, or high-scale consumer technology.
  • Master's or PhD in a highly analytical field and strong presentation skills for senior audiences.

Culture & Benefits

  • Office-centered collaboration through the “default together” approach.
  • Paid parental leave and comprehensive medical coverage.
  • Emotional and mental health support programs.
  • Compensation packages including long-term equity participation through RSUs.
  • Equal opportunity employment and accommodation support for candidates with disabilities or special needs.

Hiring process

  • Introductory conversation with the hiring manager followed by a technical screen covering program execution and engineering fundamentals.
  • Hands-on HackerRank data analytics assessment requiring executable Python and SQL code.
  • Virtual onsite with a program leadership presentation and three one-to-one interviews with senior hirify.global leaders.

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