5 дней назад
Staff Product Manager, Platform (AI)
169 500 - 254 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager, Platform (AI): Building operational, financial, observability, and user-enablement capabilities for a multi-tenant precision-health research platform with an accent on product telemetry, multi-cloud FinOps, and researcher support. Focus on designing telemetry pipelines, optimizing AI and cloud costs, and integrating documentation and support tools into secure biomedical data workflows.
Location: Boston, Massachusetts, United States. Employment is limited to applicants who do not require employer-sponsored work authorization in the United States.
US base salary: $169,500–$254,500 per year, plus bonus and benefits.
Company
Health is a data platform and technology company that develops AI-enabled precision health solutions by combining healthcare data, technology, and data science.
What you will do
- Define and execute product observability and telemetry strategy, including metrics for engagement, adoption, and feature utilization.
- Own platform financial management, customer budgets, spend forecasting, and cost optimization across multi-cloud infrastructure and AI operations.
- Lead end-user support, technical documentation, and self-service enablement for researchers, data stewards, and administrators.
- Partner with engineers, data analysts, and designers to build telemetry pipelines, cost-tracking dashboards, and integrated support tools.
- Build consensus across finance, engineering, customer success, and clinical informatics.
Requirements
- Bachelor’s degree in Computer Science, a relevant technical field, or equivalent practical experience.
- 5+ years of experience leading the definition, development, and maintenance of multi-tenant platform systems.
- Experience leading designers, engineers, and data analysts in an agile environment.
- Experience defining, instrumenting, and analyzing product telemetry.
- Hands-on experience with product analytics and business intelligence tools such as Pendo and Looker.
- Must not require employer-sponsored work authorization now or in the future for employment in the United States.
Nice to have
- Advanced knowledge of GCP, AWS, NVIDIA Cloud, and Azure.
- Experience in life sciences, healthcare technology, bioinformatics, or Trusted Research Environments.
- Understanding of cloud and AI/ML cost structures, including training, fine-tuning, inference, and token-based billing.
- Familiarity with billing, chargeback, and platform telemetry data architectures.
- Ability to translate financial and technical utilization data into strategic insights for executive leadership.
Culture & Benefits
- Work on AI-enabled precision health and biomedical research infrastructure.
- Collaborate across engineering, finance, customer success, clinical informatics, and data science.
- Bonus compensation and employee benefits are included in the package.
- Equal opportunity employment and applicant accommodation support are provided.
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