Jobs at Virtasant

Coordinates purchase orders, corporate card purchases, vendor communications, approvals, invoices, deliveries, and procurement documentation. Maintains accurate records, reconciles expenses, schedules procurement meetings, supports onboarding, and assists with administrative operations and process improvements. Requires strong organization, discretion, stakeholder communication, procurement experience, and full English bilingual proficiency.

Build and productionize a Palantir Foundry analytics and predictive platform, including data pipelines, ontology, applications, governance, observability, and AI agent logic. Partner with client business and product teams to run discovery, define measurable outcomes, shape the product roadmap, and train internal engineers. The role requires end-to-end ownership, customer-facing consulting, executive presentations, and hands-on development with Python, SQL, LLMs, and AI agents.

Own strategic client relationships, account growth, delivery outcomes, commercial performance, and global team orchestration across technology services portfolios. The role partners with executive stakeholders on AI, cloud, and enterprise modernization initiatives while managing SOWs, forecasting, margins, staffing, procurement, renewals, and portfolio expansion.

Build user-facing reports, data models, and pipelines in BigQuery; apply statistical analysis to generate insights; troubleshoot analytics stack issues; review schemas and code; collaborate with product and engineering teams; and use AI agents to automate workflows and surface insights. The role requires strong SQL, BigQuery, Looker, Python, data warehousing, statistics, communication, and product judgment.

Lead enterprise cloud cost optimization programs across AWS and GCP. Identify savings opportunities, manage optimization initiatives, partner with engineering and cloud providers, analyze billing and usage data, develop forecasts and business cases, validate savings, and establish governance processes. Influence cross-functional teams without direct authority while presenting recommendations and results to senior and executive stakeholders.

Build and support full-stack features across React and TypeScript frontends and Java or Go backend services. Responsibilities include architecture discussions, testing, deployment, code reviews, technical debt reduction, and collaboration with product and QA teams. The role requires independent ownership, strong attention to detail, and use of AI coding assistants. Experience with cloud infrastructure, microservices, and AI-driven applications is advantageous.

Execute outbound prospecting and campaign execution to generate qualified enterprise meetings. Build target lists, launch multi-channel outreach (email, LinkedIn, calls), support ABM and digital demand generation, maintain CRM hygiene, optimize GTM tech stack, and use AI to create repeatable pipeline-generation playbooks.

Lead sales growth across the Middle East by acquiring and expanding enterprise and mid-market accounts, managing pipeline and forecasts, partnering with marketing and delivery, representing the company at client and industry events, and consistently exceeding revenue targets.

Lead enterprise FinOps and cloud cost optimization programs: identify waste, design governance, analyze usage data, recommend and implement optimizations, build analytics/reporting, advise stakeholders, mentor teams, and drive measurable cost reductions.

Lead delivery and growth for strategic enterprise accounts: own execution, build C-level relationships, unblock teams, manage account operations (SOWs, forecasting, invoicing, staffing), coach delivery teams, and expand footprint by delivering measurable outcomes.

Lead strategic client relationships and global delivery for a portfolio of enterprise accounts. Own account strategy, expansion, commercial outcomes (SOWs, forecasting, margin), team orchestration, and delivery excellence for AI, cloud, and modernization initiatives.

Client-facing senior solutions architect role designing multi-cloud (AWS/Azure/GCP) architectures, leading cloud modernization and cost-optimization (FinOps) engagements, and guiding AI adoption. Responsibilities include discovery workshops, architecture assessments, governance design, Kubernetes production guidance, mentoring teams, and delivering measurable cloud cost savings using tools like Helias.

Build and productionize backend-first AI capabilities for a FinOps intelligence platform: design backend services, implement AI features (anomaly detection, recommendations, agents), create evaluation/rollback/monitoring systems, and collaborate with product to ship reliable, cost-efficient, production-ready features.