aillmmachine learningtechnical program managementcost managementmodel evaluationinference optimizationgpu infrastructure
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
$170к-267к/год
$160к$200кмедиана$250к
По похожим ролям (49) ~ $200к/год
91
Крутая вакансия
развернуть
Чётко очерченная роль principal-уровня в сильной продуктовой компании с высокой оплатой и ответственностью за важные инфраструктурные программы в сфере LLM. Зарплата примерно на уровне рынка, а специализация на AI добавляет карьерной ценности.
Principal Technical Program Manager (AI): Driving technical strategy and end-to-end programs for an open-weight LLM inference platform with an accent on GPU capacity planning, inference optimization, model migrations, and cost-per-token efficiency. Focus on building benchmarking and governance frameworks, evaluating model trade-offs, and coordinating complex infrastructure programs across Engineering, Product, Security, Legal, Compliance, Finance, and external providers.
Location: Remote; Seattle, United States or Sydney, Australia. hirify.global can hire in any country where it has a legal entity.
Base salary: $204,300–$266,725 in Zone A; $183,870–$240,053 in Zone B; $169,569–$221,382 in Zone C. Additional benefits, bonuses, commissions, and equity may apply.
Company
hirify.global develops software products that support team collaboration and different types of work.
What you will do
Set the long-term strategy and roadmap for the open-weight LLM inference platform based on business goals, customer needs, adoption barriers, and industry trends.
Translate business goals into ranked technical problems involving cost per token, latency, throughput, reliability, and model coverage.
Define and run programs for GPU capacity planning, inference optimization, model migrations, high availability, and performance.
Build benchmarking and evaluation frameworks covering serving performance, model quality, and cost, and provide data-backed model selection recommendations.
Partner with Security, Legal, Compliance, engineers, ML engineers, architects, cloud providers, and GPU providers to manage policies, trade-offs, dependencies, and safe adoption of open-weight and open-source models.
Own programs end to end, including initiation, forecasting, budgeting, scheduling, delivery, and inference cost modeling.
Requirements
10+ years of experience on software teams as a Development Manager or TPM, including 3+ years on ML, AI platform, or large-scale infrastructure programs.
Working knowledge of LLM architecture, inference optimization, serving frameworks, and GPU infrastructure economics.
Experience with multi-vendor GPU or inference-provider strategies and AI cost management.
Experience with benchmarking and model evaluation methods.
Understanding of system flows, block architectures, and APIs; writing or reading code is not expected.
A track record of running end-to-end, complex, cross-organizational technical programs with significant budgets.
Strategic thinking and the ability to turn business objectives into technical programs with measurable results.
Strong leadership, organizational, and communication skills, including influencing senior engineers and executives without direct authority.
Culture & Benefits
Flexible choice of working from an office, from home, or a combination of both.
Health and wellbeing resources.
Paid volunteer days.
Benefits may include additional compensation, bonuses, commissions, and equity.
Accommodations or adjustments can be supported during the recruitment process.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →