Vultr provides frictionless provisioning of public cloud, storage, and single-tenant bare metal via 28 global locations.
Cloud computing • IT • Data center
51 - 200
February 1
🇺🇸 United States – Remote
💵 $130k - $160k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Vultr provides frictionless provisioning of public cloud, storage, and single-tenant bare metal via 28 global locations.
Cloud computing • IT • Data center
51 - 200
• Vultr is looking for a Technical Product Manager to help shape, define, and develop the future of their GPU infrastructure offerings. • The TPM will be responsible for working directly with executives on core company strategy, collaborating with technical leads and architects on product roadmaps, planning and validating functionality with solution engineering, working with sales and marketing on go-to-market strategies, performing market assessment and competitive analysis, and working directly with customers to understand their business and technical needs. • The TPM will also be responsible for directing engineering efforts and strategies around GPU delivery, driving the technical strategy to make GPUs easy for customers to consume and grow with, defining the necessary software ecosystem, working closely with hardware vendors and suppliers to improve drivers and implementation methods, defining core images for both cloud and bare metal deployments, driving network architecture, and defining and iterating methods for customer hardware implementations as well as cloud-based, on-demand multitenant delivery. • The ideal candidate should have direct experience with AI / ML, GPU implementations, data-center infrastructure, and cloud compute. They should also have experience in product management best practices and be competent in driving a vision, strategy, and roadmap.
• The candidate should have 6+ years of experience in configuring, deploying, and managing GPU deployment and 5+ years of product management or technical program management experience. • They should have a solid understanding of common enterprise and SMB technical and business requirements. • Experience in a dynamic, fast-paced environment with independent time management is required. • The candidate should have a history of driving product management requirements analysis and definition, as well as experience with AI / ML orchestration.
• 100% remote work environment + company-wide get together. • 401(k) plan with 100% match up to 4% with immediate vesting. • Professional Development Reimbursement of $2,500 per year. • 11 Holidays + Paid Time Off Accrual + Rollover Plan + birthday off. • Increased PTO and sabbatical at anniversaries. • Remote office setup and new equipment reimbursement. • Monthly internet reimbursement. • Company-paid Calm app subscription. • Gym membership reimbursement.
Apply NowJanuary 30
11 - 50
🇺🇸 United States – Remote
💵 $133k - $180k / year
💰 $6.9M Series B on 2019-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
January 23
201 - 500
🇺🇸 United States – Remote
💵 CA$94.4k - CA$156.4k / year
💰 $85M Series D on 2017-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
December 15, 2023
51 - 200
🇺🇸 United States – Remote
💰 $25M Series B on 2019-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer