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Own technical delivery for complex enterprise customers across deployment, integration, automation, and solution architecture. Lead hybrid cloud, on-premises, Kubernetes, container, and Linux deployments; build integrations, agents, tools, workflows, and reusable playbooks; resolve complex technical escalations; and translate data, security, privacy, and AI needs into scalable solutions. Partner with executives and technical stakeholders, mentor other engineers, and collaborate with Sales Engineering, Product, and Engineering on strategic customer initiatives.

Own strategic customer deployments of the Securiti AI platform across cloud, hybrid, and on-premises environments. Build integrations, automations, data pipelines, classifiers, and agent workflows; configure Kubernetes and cloud infrastructure; troubleshoot complex deployment and integration issues; translate security, privacy, governance, and AI objectives into technical solutions; and lead customer technical sessions while partnering with Sales Engineering, Product, and Engineering.

Lead cross-functional technical programs supporting mergers and acquisitions, including systems integration, application rationalization, data migration, process automation, and environment consolidation. Conduct technical discovery, requirements gathering, process mapping, gap analysis, and migration planning. Coordinate technical teams, stakeholders, resources, communications, change management, documentation, KPIs, risk mitigation, and executive reporting to ensure successful program delivery with minimal business disruption.

The Executive Assistant will support the Head of Global Products and Technology, manage complex calendars, handle confidential information, and coordinate company events and travel logistics while fostering team success and inclusion initiatives.

Generates qualified sales pipeline through targeted outbound calls, emails, and social outreach. Researches prospects, identifies buying signals and pain points, qualifies opportunities in Salesforce, books meetings, and achieves pipeline KPIs. Collaborates with marketing, sales, and technical teams while positioning Securiti AI as a trusted data and AI security advisor. The role requires strong communication, resilience, curiosity, organizational skills, and interest in building a sales career.

Manage renewal and expansion quotas for named commercial accounts by proactively engaging customers, conducting health checks, promoting products, negotiating agreements, and closing renewals, upgrades, and license sales. Maintain pipeline forecasts, Salesforce records, and KPI performance while supporting licensing transfers, customer service escalations, channel partners, and cross-functional deal preparation. Build executive-level relationships and provide bilingual English-Portuguese customer support.

Manages customer renewals, retention, expansion, and maintenance reinstatement opportunities for assigned accounts. Responsibilities include meeting renewal quotas, preparing quotes and proposals, handling pricing and partner inquiries, reactivating lapsed customers, supporting channel partners, negotiating agreements, and maintaining accurate Salesforce records. The role requires high-volume customer communication, cross-functional collaboration, KPI and SLA performance, and strong organization in a fast-paced sales environment.

Lead system-level and infrastructure testing in a San Jose lab. Build end-to-end test environments spanning on-premises hardware, Kubernetes, and cloud edge topologies. Develop offline validation harnesses, profile operating-system resources, execute hardware-in-the-loop automation, and maintain physical and virtual testbeds. Own automated orchestration for resetting, patching, and reconfiguring test rigs while ensuring platform stability, hardware-software integration, and deployment verification.

Lead quality strategy and automated testing for graph database architectures and high-volume reporting engines. Build test suites for graph traversals, indexing, data fidelity, aggregation accuracy, latency, and schema evolution. Design benchmarking platforms for query and memory performance, and use Kubernetes across AWS and Azure to create isolated multi-tenant database environments for regression testing.

Leads revenue intelligence operations supporting Marketing through executive reporting, forecasting, KPI governance, data quality, automation, and performance insights. The role develops marketing and SDR forecasting models, owns scorecards, improves reporting infrastructure, and translates pipeline, funnel, and ROI data into recommendations for senior leadership. It partners with Finance, Revenue Operations, Data Engineering, Analytics, Marketing, and SDR teams while mentoring analysts and driving cross-functional reporting standards.