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Lead architecture and implementation of Tavily's GTM tech stack and SFDC instance. Build scalable data pipelines and enterprise integrations, ensure data flow across marketing, sales, finance and customer lifecycle, enforce engineering standards, automated testing and security, and act as technical liaison to Sales, Marketing, and Finance while managing an Agile backlog and multi-quarter roadmap.

Own and operate production infrastructure: manage Kubernetes across regions, maintain IaC and GitOps CI/CD workflows, optimize real-time data pipelines, build observability and alerting, debug incidents, and lead cloud cost and capacity planning for a small engineering team.

As RVP of Strategic Sales at Nebius, you'll lead high-impact GTM strategies, build strategic teams, manage executive-level negotiations, and drive significant revenue growth through strategic accounts and partnerships, specifically in AI and cloud infrastructure.

The Forward Deployed Engineer will work with customers to implement Tavily's API, design integrations, and facilitate pre-sales and post-deployment support, focusing on AI and agent architectures.

Work onsite in New York with enterprise customers to design, prototype, and deploy production-grade AI systems using Tavily's API. Build RAG pipelines, agent workflows, integrations, and POCs; drive adoption, monitor usage, and translate customer needs into product and engineering roadmap inputs.

Senior technical leader responsible for architecting production-grade AI infrastructure for media & entertainment partners. Translate business needs into scalable GPU, storage, networking and inference solutions; validate ISV integrations; influence product roadmap; engage CTO-level stakeholders; and grow a team as the vertical scales.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

Own deal desk and quote-to-cash processes, structure complex SaaS and usage-based deals, administer and optimize GTM systems (HubSpot/SFDC, CPQ), liaison between Sales, Legal, and Finance, and drive process improvements to accelerate deal velocity and ensure compliance.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.