Jobs at Inviso Corporation

Drives Microsoft 365 Copilot trial adoption across ASEAN by enabling CSP partners and resellers, supporting customer qualification and activation, resolving adoption blockers, managing pipelines, tracking KPIs, and supporting trial-to-paid conversion. The role also delivers partner training, maintains CRM accuracy, provides performance insights, and coordinates with Microsoft teams, distributors, and resellers.

Leads customer- and partner-facing technical engagements across Microsoft Defender, Microsoft Purview, and Secure AI. Delivers security workshops, technical discussions, demos, proof-of-concept support, and Copilot for Microsoft 365 readiness sessions. Enables distributors, systems integrators, MSPs, and resellers to build Microsoft security capabilities and scale secure AI adoption. Requires strong Microsoft Security knowledge, customer-facing technical experience, fluent Bahasa Indonesia, advanced English, and the ability to communicate with technical and business audiences.

Provides Level 1 Microsoft 365 and Windows 365 support, including ticket triage, troubleshooting, provisioning, migrations, identity and access administration, endpoint support, documentation, and escalation management. The role manages ServiceNow queues, follows runbooks, supports geographically distributed teams, and helps improve support processes, knowledge articles, and automation.

Provides Microsoft cloud assessment consulting for SMB customers, including requirements gathering, discovery, technical analysis, report review, presentations, workshops, deployment support, stakeholder coordination, and CRM tracking. The role supports cloud migration, modernization, Copilot adoption, and security initiatives using tools such as Azure Migrate, Dr.Migrate, Unifycloud, and CSAT. Candidates need Microsoft ecosystem experience, cloud or SaaS knowledge, client-facing communication skills, data analysis ability, and project coordination experience.

Lead end-to-end delivery of B2B marketing programs, coordinating clients and cross-functional teams across strategy, content, creative, digital, production, and reporting. Build project plans, timelines, budgets, and briefs; manage approvals, risks, scope changes, and deliverables; facilitate meetings and maintain documentation. Review campaign performance, recommend optimizations, and improve processes. The role requires strong client communication, organization, writing, editing, and project management skills in a high-volume environment.

Supports Microsoft cloud assessments for SMB customers, including requirements gathering, discovery, technical analysis, report finalization, presentations, workshops, project tracking, and cross-team coordination. The consultant helps customers plan cloud migration, modernization, and Copilot adoption using tools such as Dr.Migrate, Unifycloud, and CSAT. The role requires customer-facing communication, data interpretation, Microsoft ecosystem knowledge, and familiarity with cloud services, systems administration, networking, and operating systems.

Lead customer and partner technical engagements focused on Microsoft Defender, Microsoft Purview, secure AI, and Copilot for Microsoft 365 readiness. Deliver security workshops, solution mapping, demonstrations, proof-of-concept support, and technical enablement across India. Translate requirements into secure Microsoft solution paths, support pre-sales and partner capability building, and collaborate with Microsoft sales and technical teams to accelerate secure AI adoption.

Recruit candidates internationally for technology-focused roles by partnering with hiring managers, developing sourcing strategies, engaging and screening candidates, building talent pipelines, and delivering a strong candidate experience. The role requires English and Japanese fluency, global recruiting experience, networking and negotiation skills, and familiarity with technology recruiting tools and platforms.

Lead customer and partner technical engagements across Microsoft Defender, Microsoft Purview, and secure AI. Deliver security workshops, demonstrations, proof-of-concept support, and Copilot for Microsoft 365 readiness sessions. Enable partners, support pre-sales activities, translate requirements into secure Microsoft solution paths, and collaborate with Microsoft stakeholders to accelerate secure AI adoption across Taiwan.

Own product direction for an enterprise AI platform, including requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized, testable requirements; manage trade-offs among value, velocity, leverage, and technical risk; and partner with engineering on delivery decisions. Recruit design partners, validate customer needs, document decisions, communicate with executives and clients, and maintain disciplined delivery across multiple product teams.

Lead governance, risk, and compliance activities for an enterprise AI platform. Define and mature SOC 2 and ISO 27001 controls, collect evidence, track remediation gaps, prepare audits, and create customer-facing security documentation. Partner with engineering, security, product, auditors, and client stakeholders to embed practical, automated compliance practices covering data handling, retention, access control, privacy, AI governance, and customer assurance.

Build and operate production AI capabilities, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. Develop reliable, measurable, safe AI systems; create evaluation harnesses and quality controls; monitor production behavior; and collaborate with backend, platform, product, and security teams in a client-facing consulting environment.

Designs and secures enterprise AI platform foundations for mission-critical environments. Responsibilities include threat modeling, tenant isolation, identity and authorization architecture, secure CI/CD, compliance-by-design, and protection of systems executing untrusted code, tools, or agent actions. The role partners with client engineering, product, security, and business stakeholders to deliver secure, reliable, and compliant platform capabilities.

Lead governance, risk, and compliance activities for an enterprise AI platform, including SOC 2 and ISO 27001 readiness, control definition, evidence collection, audit preparation, customer security documentation, data handling, and compliance-by-design. Partner with engineering, security, product, auditors, and client stakeholders to automate practical controls, address gaps, support assessments, and strengthen customer assurance.

Design, build, deploy, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, metering, integrations, governed data access, and platform services. The role requires ownership of reliable distributed systems, including testing, monitoring, failure handling, and operational support, while collaborating with client product, engineering, data, and platform stakeholders in a consulting environment.

Designs, builds, and operates cloud infrastructure and reliability capabilities for an enterprise AI platform. Responsibilities include infrastructure as code, landing zones, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, on-premises, and customer-controlled environments. This remote, client-facing consulting role requires strong communication, production ownership, and the ability to balance reliability, delivery speed, security, and operational cost.

Design, build, and operate cloud infrastructure and SRE capabilities for an enterprise AI platform. Responsibilities include infrastructure-as-code, landing zones, networking, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, air-gapped, and customer-controlled environments. The role is remote, client-facing, and requires strong collaboration and reliability ownership.

Build and operate production AI capabilities across enterprise platforms, including agent runtimes, RAG, model routing, tool calling, guardrails, evaluation, monitoring, and cost optimization. Ship reliable, safe, measurable AI features; develop evaluation frameworks and quality controls; monitor production behavior; and collaborate with client-facing product, engineering, platform, backend, and security teams to deliver practical AI solutions.

Own product direction for an enterprise AI platform, including product wedge, requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized decisions, manage technical and business trade-offs, collaborate with engineering and design partners, validate customer feedback, and communicate strategy, risks, progress, and impact to executives and clients in a consulting environment.

Design and secure enterprise AI platform foundations for mission-critical transportation and operational technology environments. Responsibilities include threat modeling, tenant isolation, identity and authorization architecture, secure CI/CD, compliance-by-design, and protection of systems executing untrusted code, tools, or agent actions. The role partners with client engineering, product, security, and business stakeholders to provide pragmatic guidance and enable reliable, compliant delivery.