Top Tech Jobs & Startup Jobs

Drives enterprise net-new customer acquisition for AI security solutions. Identifies and qualifies opportunities, builds relationships with CISOs and other executives, manages full sales cycles, and co-sells with alliance, service, and channel partners. Uses MEDDPICC to qualify, forecast, and close complex deals while maintaining CRM discipline. Partners with technical leads on solution scoping and demonstrations, leverages AI-native sales tools, provides market intelligence, and achieves quarterly and annual customer targets.

Build scalable data ingestion, transformation, entity resolution, and integration pipelines for a cybersecurity ontology and knowledge graph platform. Design batch and real-time distributed systems processing billions of security events, ensure data quality and governance, model entities and relationships, and enable AI agents through structured security knowledge and ontology APIs.

Manage strategic relationships with existing enterprise customers, lead executive and business reviews, align cybersecurity platform capabilities to customer goals, and drive adoption, renewals, and expansion. Develop account plans, monitor customer health and value realization, forecast renewal and expansion opportunities, and collaborate with customer success, solution engineering, architecture, product, services, and threat research teams.

Manage strategic enterprise customer relationships, lead executive business conversations, support renewals, and identify expansion opportunities. Develop account plans, track adoption and value realization, forecast renewals and expansion, and coordinate with Customer Success, Solutions Engineering, Solutions Architecture, Product, Services, and Threat Research teams. The role focuses on helping existing customers achieve security outcomes and expand platform adoption.

Leads engineering teams building a security ontology, knowledge graph, ontology APIs, and agentic AI knowledge services. Owns technical strategy, architecture, roadmap execution, data integration, semantic modeling, entity resolution, production operations, governance, scalability, and cross-functional delivery. The role requires managing software and data engineers while developing secure, observable, high-scale platforms that connect security product data and enable AI-powered investigations and workflows.

Design and lead development of TrendAI’s large-scale data platform, including ingestion, CDC, replication, transformation, governance, cataloging, semantic discovery, and analytics capabilities. Enable governed self-service dbt across OLTP systems, build distributed SQL and streaming architectures, establish data quality and lineage standards, and create reusable platform APIs. Provide technical leadership, mentor engineers, and guide cross-team architecture for a security-focused, multi-product data platform supporting analytics and AI applications.

Supports R&D engineering leadership through talent management, career architecture, organization design, employee relations, culture initiatives, change management, compensation and leveling strategy, and data-driven workforce insights. Partners with Engineering, Product, Finance, and corporate HR to scale the organization, improve people practices, and guide strategic decisions involving retention, promotions, hiring, and organizational effectiveness.

Build and maintain full-stack websites and marketing experiences using Sanity CMS, TypeScript, Node.js, and component-based frontend frameworks. Own content architecture, reusable components, performance, accessibility, technical SEO, integrations, and AWS delivery infrastructure. Collaborate with marketing, design, content, sales, and growth stakeholders while using AI-assisted development tools. Participate in agile practices and adapt to evolving priorities.

Build and maintain front-end applications and global marketing websites using Sanity CMS and modern component-based frameworks. Develop reusable components, templates, and tooling; integrate APIs and marketing platforms; and own performance, accessibility, technical SEO, and AI-crawler readiness. Collaborate with marketing, design, content, sales, and growth teams in an agile environment while using AI-assisted development tools and adapting to changing priorities.

Design and build a company-wide data platform supporting ingestion, CDC, replication, transformation, governance, semantic discovery, analytics, and self-service dbt workflows. Develop scalable architectures across distributed SQL databases and analytical platforms, establish data quality and observability standards, implement access controls and metadata foundations, and provide technical leadership across engineering teams. The role also shapes source-of-truth architecture and enables data for AI and agentic applications.