Top Tech Jobs & Startup Jobs

Own the product direction and quality standards for large-scale search infrastructure serving AI agents. Set release criteria, manage relevance, freshness, latency, and cost tradeoffs, shape index coverage and roadmap, analyze evaluations and experiments, and prioritize improvements based on customer workflows. Partner closely with search engineering, research, evaluation, data, vertical product, and customer success teams. Develop a strategic view of agent-oriented search and influence execution as a hands-on senior individual contributor.

Own the product direction and quality bar for Tavily’s large-scale search infrastructure. Define release criteria, manage relevance, freshness, latency, and cost tradeoffs, shape index coverage and roadmap, and guide search infrastructure for AI agents. Partner with engineering, research, evaluation, data, vertical product, customer success, and customers to identify quality gaps and prioritize improvements. This hands-on senior IC role requires deep experience building and shipping search or ranking systems at scale.

Own enterprise sales across the UK and Nordics, managing the full cycle from prospecting and pipeline creation through complex deal closure. Build regional presence through outbound sales, partnerships, events, and networks; engage technical, business, and executive stakeholders; apply MEDDPICC and value-based selling; collaborate with product and engineering; exceed revenue targets and provide accurate forecasts.

Own the vertical search product roadmap from market selection and data-provider evaluation through product development, launch, adoption, and revenue. Conduct customer discovery, translate workflows into engineering specifications, define answer quality with evaluation teams, shape search ranking and results, and partner with customer success and go-to-market. The role requires strong product judgment, technical depth in data and AI systems, and the ability to influence cross-functional teams without formal authority.

Own the vertical search product from market selection and data-provider evaluation through roadmap, customer discovery, specifications, launch, adoption, and revenue. Partner with engineering, data, research, evaluation, customer success, and go-to-market teams to build industry-specific AI search products. Define use-case quality standards, shape ranking and product experiences, and prioritize investments across verticals.

Own the vertical search product roadmap end to end, identifying high-value industries and use cases, evaluating public and premium data providers, and shaping customer-focused product experiences. Conduct customer discovery, translate workflows into engineering specifications, define answer quality with evaluation teams, and partner across engineering, data, research, customer success, and go-to-market. Drive product adoption, revenue, and prioritization for AI-agent search workflows.

Serve as the primary technical advisor for strategic GPU Cloud customers, helping them design, deploy, troubleshoot, optimize, and scale AI/ML workloads across large GPU environments. Partner with sales on opportunities and technical presentations, relay customer feedback to product teams, and drive stakeholder alignment. The role requires cloud architecture, Infrastructure as Code, Kubernetes, Python, GPU stack, and AI/ML expertise, with remote work available from the UAE.

Own and administer Nebius’s identity and access environment, centered on Microsoft Entra ID and Microsoft 365, with supporting Google Cloud identity services. Manage authentication, conditional access, application integrations, provisioning, lifecycle automation, privileged access, licensing, and governance. Troubleshoot identity incidents, SAML/OIDC/SCIM failures, and Microsoft 365 access issues. Build production-grade PowerShell and cloud workflow automation with logging, retries, documentation, and secure credential management.

Develop and maintain API-based integrations and cloud-native Azure services. Build workflow automation, identity lifecycle processes, data synchronization, CI/CD pipelines, and Terraform infrastructure. Troubleshoot APIs, Azure services, and data sources while documenting integrations and scripts. The role requires Python or C#, Azure integration expertise, secure authentication knowledge, relational database experience, and familiarity with deployment automation.

Early-career Site Reliability Engineer supporting daily SRE operations and completing small infrastructure projects. Responsibilities include executing backlog tasks, creating tests, writing technical documentation, updating Jira, and learning Linux, networking, containers, Kubernetes, Helm, Terraform, configuration management, and automation. The role offers mentorship, production-system experience, and potential consideration for a full-time position.