Top Tech Jobs & Startup Jobs

Supports global sales enablement through communications strategy, onboarding coordination, content creation, event planning, reporting, and AI-enabled workflow improvements. The role partners with regional effectiveness managers and cross-functional stakeholders to deliver consistent learning experiences, track engagement, communicate initiatives, and provide sales teams with practical guidance and resources.

Drive strategic federal sales growth across DISA 4th Estate and Intelligence Community accounts. Responsibilities include pipeline development, account planning, opportunity and win strategy, stakeholder relationship development, acquisition navigation, RFI and solicitation support, CRM management, forecasting, and translating technology solutions into mission outcomes. The role requires expertise in long-cycle federal sales, procurement processes, secure environments, and technology solutions.

Drive strategic sales of Ivanti’s Autonomous Endpoint Management solutions across state, local government, and education organizations. Responsibilities include developing account plans, closing complex enterprise opportunities, building executive relationships, conducting consultative sales, managing RFPs and negotiations, forecasting pipeline, mentoring account executives, and representing Ivanti at industry events. The role requires strong knowledge of SLED procurement, cybersecurity regulations, public-sector budget cycles, and enterprise selling.

Leads AMER sales enablement and effectiveness strategy for a B2B technology organization. Partners with sales leaders to identify performance gaps, drive methodology adoption, improve onboarding and coaching, facilitate capability development, build scalable playbooks, and measure impact on productivity, pipeline quality, conversion, win rates, and revenue. Requires strong analytical, facilitation, program management, and stakeholder-influence skills across geographically dispersed sales teams.

Leads complex global privacy assessments, advises stakeholders on privacy by design and regulatory requirements, manages PIAs, DPIAs, LIAs, and ROPAs, oversees privacy rights requests, investigates privacy incidents, and drives remediation. The role develops privacy processes and controls, interprets global laws, supports audits and due diligence, and coordinates cross-functional initiatives across business, product, legal, HR, IT, security, and operations teams.

Deploy, secure, and operate Ivanti’s production SaaS environments across AWS and Azure. Automate operational tasks, improve observability and reliability, troubleshoot applications and infrastructure, manage deployment pipelines and infrastructure as code, and participate in 24x7 incident response. The role also includes documentation, training, cross-functional collaboration, reliability and compliance improvements, project ownership, and mentoring junior team members.

Build and support Ivanti’s global corporate website and digital experiences across the full web stack. Develop responsive, accessible front-end experiences and C#/.NET applications, CMS components, APIs, integrations, databases, and deployment pipelines. Collaborate with Creative and Marketing, implement analytics and privacy tooling, troubleshoot complex production issues, and manage projects from estimation through launch and support. Use AI coding tools while maintaining quality, security, performance, and maintainability.

Lead Android architecture and technical direction for enterprise mobile device management products. Design and build secure, scalable Android systems using Java and Kotlin, focusing on performance, authentication, storage, networking, provisioning, privacy, and application management. Partner with product and engineering teams, review designs, lead technical initiatives, evaluate Android technologies and CI/CD practices, and mentor engineers.

Build unified structured and unstructured data pipelines, predictive and prescriptive analytics, churn models with quantified uncertainty, and production LLM agents. Own enterprise AI architectures, RAG systems, MLOps and LLMOps standards, evaluation, monitoring, cost optimization, security, and reliability. Partner with business stakeholders to translate ambiguous problems into scalable AI solutions and document reference architectures adopted by other teams.