Senior Technical Product Manager, Observability

Who We Are Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Vultr Cares 100% company-paid insurance premiums for employee medical, dental and vision plans. 401(k) plan that matches 100% up to 4%, with immediate vesting Professional Development Reimbursement of $2,500 each year 11 Holidays + Paid Time Off Accrual + Rollover Plan Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year $500 stipend for remote office setup in first year + $400 each following year Internet reimbursement up to $75 per month Gym membership reimbursement up to $50 per month Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced Senior Technical Product Manager to own the Observability Platform — the system that provides telemetry ingestion, querying, visualization, alerting, and retention for large-scale GPU clusters and multi-tenant cloud environments. The ideal candidate brings deep technical fluency in observability infrastructure, distributed systems monitoring, and cloud-native telemetry, combined with a strong product instinct for developer and operator experiences. This is a highly visible role in a high-growth technology company, which will require close partnership with Compute, Networking, and Platform teams to ensure every new infrastructure launch is observable by design. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of AI Infrastructure. Key Responsibilities Own the end-to-end Observability Platform roadmap across telemetry ingestion, querying, visualization, alerting, and retention for large-scale GPU clusters and multi-tenant cloud environments Define Vultr's observability strategy across bare metal, VMs, Kubernetes, and managed services, aligned to infrastructure roadmap, reliability goals, and customer experience Drive the customer-facing observability surface across dashboards, APIs, telemetry pipelines, and topology-aware insights Translate low-level signals across GPU, CPU, memory, storage, and network into actionable health views, alerts, and debugging workflows for customers Work closely with engineering on technical tradeoffs across metrics agents, collectors, data models, telemetry pipelines, APIs, and retention architecture Build products for distributed AI environments by understanding how training and inference workloads behave across nodes, clusters, schedulers, and network fabrics Define health models that help customers quickly identify degraded nodes, performance anomalies, and cluster bottlenecks at fleet scale Ensure new infrastructure and platform launches are observable by design through strong partnership with compute, network, and platform teams Stay current on modern observability stacks and AI infrastructure trends, including how GPU workloads change performance analysis, cost attribution, and operational workflows Qualifications 7+ years of product management experience in cloud infrastructure, observability, monitoring, or developer platforms Deep understanding of observability and monitoring systems, including metrics, logging, tracing, alerting, and telemetry pipeline architecture Experience defining product strategy and roadmaps for platform or infrastructure products at scale Strong technical background — ability to engage with engineering on telemetry agents, data models, query engines, retention, and distributed systems Experience with GPU, AI/ML, or HPC infrastructure monitoring and the unique observability challenges of training and inference workloads Track record of shipping developer- and operator-facing products with measurable impact on reliability, time-to-detect, or operational efficiency Experience working across cross-functional teams (engineering, design, marketing, sales) in a fast-paced environment Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) Compensation $130,000 - $165,000 Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws. 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