GTM Solution Specialist - Healthcare & Life Sciences (AI)
Контакты
177 000 - 237 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aikubernetesregulatory compliancehealthcaresolutions architecturecloud infrastructurelife scienceshigh performance computinggpu infrastructuretechnical business development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Чётко очерченная роль по развитию нового рынка в быстрорастущей AI-инфраструктурной компании даёт доступ к перспективной сфере, но требования к опыту и размеру сделок очень высокие.
Высокий порог
Современная инфраструктура
Рост в сфере AI
Сильный пакет льгот
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GTM Solution Specialist - Healthcare & Life Sciences (AI): Opening and scaling CoreWeave AI cloud opportunities across pharmaceutical, biotech, medical device, payer, and health system customers with an accent on GPU infrastructure, regulated workloads, and AI-native drug discovery and clinical programs. Focus on shaping multimillion-dollar technical deals, translating HIPAA/GDPR/GxP requirements into product priorities, and designing scalable commercial frameworks for high-performance HCLS deployments.
Location: New York, NY or San Francisco, CA, United States
Base salary: $177,000–$237,000 per year, plus discretionary bonus, equity awards, and benefits.
Company
CoreWeave provides cloud infrastructure, tools, and technical expertise for organizations building and scaling AI, including AI labs, startups, and global enterprises.
What you will do
Own commercial and technical strategy for net-new HCLS AI customer wins involving foundation-model training, genomics and imaging pipelines, and regulated AI deployment.
Develop opportunities with pharmaceutical, biotech, techbio, medical device, payer, and health system organizations facing GPU, data-pipeline, or compliance barriers.
Build expertise across protein structure prediction, generative chemistry, molecular dynamics, genomics, multi-omics, medical imaging, and clinical and operational LLM workloads.
Translate PHI, HIPAA, GDPR, GxP validation, data residency, and model-governance requirements into product feedback and roadmap priorities.
Create deal structures, technical playbooks, benchmark narratives, cluster reservation models, capacity commitments, and dataset storage SLAs for strategic partnerships.
Advise senior computational science, AI, infrastructure, and IT stakeholders while partnering with product, infrastructure, ecosystem, NVIDIA, ISV, and data-platform teams.
Requirements
10+ years of experience in technical business development, solutions architecture, or systems engineering within healthcare, life sciences, or AI infrastructure, with a track record of driving customer outcomes and revenue.
5+ years working directly with pharmaceutical, biotech, or healthcare organizations on GPU infrastructure, scientific computing, or ML platform architecture in a customer-facing or deal-shaping capacity.
Deep understanding of HCLS AI workloads, including protein structure prediction, molecular dynamics, generative chemistry, genomics, multi-omics, medical imaging, and clinical NLP.
Working knowledge of HIPAA, GDPR, GxP, computer system validation, and FDA expectations for AI/ML-enabled products.
Experience managing the full commercial lifecycle of complex technical deals exceeding $10M in contract value, including negotiation, technical due diligence, and deployment planning.
Technical proficiency with Kubernetes, NVMe, object storage, parallel filesystems, InfiniBand, and RDMA for large-scale training and scientific computing clusters.
Ability to build trusted relationships with senior computational science, engineering, and infrastructure decision-makers in HCLS organizations.
Applicants must meet applicable U.S. export-control access requirements: U.S. person status, eligibility without export authorization, or eligibility and reasonable likelihood of obtaining authorization.
Nice to have
Experience at or selling into leading HCLS organizations, including global pharma, techbio, AI-first drug discovery, genomics, medical imaging, medical device, health system, or payer organizations.
Technical and commercial familiarity with NVIDIA BioNeMo, Parabricks, MONAI, and Clara.
Background in large-scale scientific computing, structure-based drug discovery, or clinical AI deployment in a validated environment.
Advanced technical degree or MBA with a strong technical AI/ML systems foundation.
Culture & Benefits
Entrepreneurial, collaborative environment focused on independent thinking and innovative solutions during a period of hyper-growth.
Medical, dental, and vision insurance fully paid by CoreWeave for eligible US-based full-time employees, plus life and disability insurance.
Flexible Spending Account, Health Savings Account, tuition reimbursement, ESPP, mental wellness benefits, family-forming support, and childcare support.
Paid parental leave, flexible PTO, and a 401(k) with employer match.
Catered lunches at office and data-center locations, a casual work environment, and a culture focused on innovative disruption.
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