Jobs at FlowX.AI

Drive US growth for FlowX.AI with focus on logistics: source opportunities, manage customer relationships, lead discovery, collaborate on demos/proposals, present value using consultative selling, maintain pipeline, and feed product/market feedback.

As an Account Executive, you will drive growth in the US logistics market by sourcing opportunities, managing customer relationships, and collaborating internally to deliver value through AI solutions.

The Inbound SDR will manage the inbound sales pipeline, qualify leads, and collaborate closely with AEs while researching accounts and utilizing CRM tools.

Own the full enterprise sales cycle in CEE: prospect, lead C-level discovery, build value-based business cases, coordinate solution engineers and strategists, manage multi-stakeholder deals, and close complex B2B transactions for an AI platform.

Partner with clients to design and deploy agentic AI solutions, architect end-to-end agent workflows (agent chaining, RAG, tool integrations), integrate with existing backend/frontend/mobile/databases, implement Kubernetes-based microservices and responsible AI patterns, support presales and workshops, and collaborate with AI/ML, product, and engineering teams to operationalize models in regulated environments.

Prospect and research potential clients, outreach via email/phone/LinkedIn, qualify leads, schedule discovery calls/demos for Account Executives, and maintain CRM to ensure a predictable sales pipeline while collaborating with sales and marketing.

The Academy & Certification Programs Manager will manage and evolve external learning and certification programs, ensuring high-quality content and effective cohort delivery while coordinating with SMEs and adapting the tooling stack.

As a Configurator Engineer, you'll configure AI solutions, validate configurations, design POCs, document processes, and recommend optimizations.

Drive strategic growth in CEE as a senior Account Executive owning the full sales cycle. Lead C-level discovery, build business cases using Gap Selling, partner with Field Strategists and Solution Engineers, navigate multi-stakeholder deals, and close complex enterprise AI/SaaS engagements delivering measurable ROI.

As a Solution Architect, you'll design and implement AI-driven solutions for financial services, engage customers, and collaborate with internal teams for product development.

As a Legal Consultant, you will provide legal advice on software development, compliance, and licensing, while managing contracts and regulatory frameworks for AI-powered solutions.

As a Configurator Engineer, you will configure solutions based on business requirements, test configurations, develop POCs, and maintain documentation.

Lead QA efforts to ensure performance, reliability, and scalability across web and mobile products. Develop and run test plans, perform manual and automated functional, regression, integration, and system tests, report results, and collaborate with cross-functional teams to improve quality and coverage.

Owner of Azure Marketplace packaging and automated cloud deployments for FlowX.AI. Design secure Azure architectures for regulated industries, build Terraform-based infrastructure automation, deploy and manage AKS Kubernetes apps with Helm, drive CI/CD and DevOps best practices, and support pre-sales, partner, and customer engagements to scale enterprise deployments.

The Sales Operations Specialist will set up and maintain the GTM operating system, enable sales teams, improve pipeline metrics, and deliver revenue insights.

Entry-level sales role owning warm, pre-introduced leads through full enterprise sales cycles. Run discovery calls, deliver tailored demos and proposals, maintain CRM records, coordinate with internal teams, and learn enterprise AI and financial services sales.

The Project Manager will lead AI-driven projects, ensuring quality delivery and client relationships, managing teams, and driving Agile practices.

Own product strategy and roadmap, prioritize backlog, collaborate with engineering and UX, translate requirements into user stories and specs, measure performance, iterate based on user feedback and market trends, and represent the product internally and externally.