Top Tech Jobs & Startup Jobs

Own outbound product strategy for ServiceNow Workflow Data Fabric and RaptorDB Professional. Translate complex enterprise data and analytics capabilities into customer value, positioning, messaging, launch strategies, sales enablement, demos, and customer-facing narratives. Partner with product, engineering, marketing, sales, and customer teams to drive adoption and growth. Engage executives, customers, analysts, and sellers while using market feedback and competitive intelligence to influence roadmap priorities and go-to-market execution.

Own outbound product strategy for ServiceNow’s Workflow Data Fabric and RaptorDB Professional. Develop positioning, messaging, use cases, competitive differentiation, launches, sales enablement, demos, and customer-facing content. Engage enterprise customers, executives, analysts, sellers, and partners through briefings, events, webinars, and strategic deals. Translate complex data, analytics, integration, platform performance, and AI-readiness capabilities into business value while using market feedback to influence roadmap, go-to-market execution, adoption, and growth.

Own outbound product strategy for Workflow Data Fabric and RaptorDB Professional, translating complex enterprise data capabilities into customer value, positioning, launches, sales enablement, and adoption strategies. Engage customers, executives, analysts, sellers, and partners through briefings, events, demos, and strategic deals. Develop messaging, use cases, competitive differentiation, playbooks, training, and campaigns while using market feedback and performance metrics to influence roadmap and go-to-market execution.

Leads the Workplace Service Delivery engineering organization, managing engineering managers and scaling AI-native development practices. Owns the product roadmap, architecture, verification harnesses, security controls, reliability, and enterprise software quality. Partners with product, UX, platform, executives, and strategic customers to deliver scalable CRM and workplace solutions. Mentors engineering leaders and translates customer needs into product priorities.

Manages strategic relationships with major ServiceNow accounts, drives new business, renewals, licenses, and professional services revenue. Leads virtual solution, consulting, support, and services teams; develops account strategies and global resource plans; builds relationships from IT teams to C-suite executives; aligns ServiceNow solutions with client outcomes; and achieves financial targets.

Own production database troubleshooting, incident root-cause analysis, performance tuning, observability, and automation across large-scale PostgreSQL and MariaDB fleets. Support multi-tenant cloud infrastructure, analyze Linux and distributed-system performance, conduct stress testing, influence platform decisions, and mentor engineers. The role requires extensive relational database, web application, Unix, SaaS, and production support experience, with desired skills in Python, JavaScript, Ansible, Kubernetes, and CI/CD.

Lead product strategy and roadmap development for AI-native HR technology products. Define requirements, prioritize high-impact initiatives, guide cross-functional development, and build consensus across teams. Translate AI research and market insights into differentiated product features, oversee products from conception through production, and coach product team members. The role requires deep expertise in MCP, A2A protocols, LLMs, agentic workflows, multi-platform architecture, HR technology, vendor AI capabilities, and consumption-based AI pricing.

Lead strategy, roadmap, and execution for ServiceNow’s global cloud platform across commercial, sovereign, partner-hosted, and customer-operated environments. Partner cross-functionally with engineering, operations, security, compliance, legal, infrastructure, and go-to-market teams. Evaluate customer, regulatory, competitive, and hyperscaler trends; define investment recommendations; support strategic customer engagements; and drive ambiguous, high-impact initiatives through strong ownership and influence.

Design and develop scalable software components, user experiences, and AI-powered features. Own functionality from design through delivery, collaborate with product managers, integrate automated testing, develop comprehensive test strategies, participate in code reviews, troubleshoot distributed systems, and optimize performance, reliability, and maintainability.

Build and scale reliable agentic AI systems, including orchestration, code execution, agent memory, LLM self-improvement, simulations, knowledge graphs, and multimodal interfaces. Implement AI algorithms, productionize them, optimize performance, write robust code, contribute to technical roadmaps, collaborate across engineering and product teams, and mentor engineers. The role requires strong production-systems experience, technical communication, operational excellence, and programming in Python, Golang, and/or Java.