Own end-to-end technical relationships with enterprise customers, design and deliver AI solutions on the Moveworks Platform, and act as a trusted advisor while driving adoption and measurable outcomes.
Responsibilities
Own the end-to-end technical relationship with enterprise customers
Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems
Serve as a trusted technical advisor to help customers develop their Agentic AI roadmap
Synthesize customer feedback and technical gaps to influence platform evolution
Generalize successful customer solutions into reusable templates
Lead architecture, design, development, integration, deployment, security, and operational support of enterprise applications, digital platforms, and eCommerce solutions.
Responsibilities
Lead application development, technical design, architecture reviews, and delivery of enterprise solutions
Understand and develop design and architecture artefacts for complex integration and security deployments
Design, develop, and maintain enterprise applications using .NET, Next.js, Nest.js, MS SQL, No-SQL, TypeScript, HTML5, and CSS3
Review and contribute to Functional Specifications, Interface Specifications, High-Level Designs (HLDs), Low-Level Designs (LLDs), and Non-Functional Requirements (NFRs)
Design and implement integrations between enterprise applications, SaaS platforms, cloud services, ERP systems, payment gateways, marketplace solutions, and external business systems
Technical depth behind complex AI deployments, shaping how enterprise customers move from an ambition for AI to an architecture that runs their business.
Compensation
The estimated annual base salary range for this role is $125,000-$160,000.
Responsibilities
Lead technical discovery for the Deployment Strategists scoping new work and for Account Owners qualifying opportunities inside existing accounts, surfacing AI, integration, and data requirements before scope and price are committed.
Design advanced AI architecture on the monday AI work platform, spanning the agents, context, and data layers that intelligent workflows run on in an enterprise environment.
Architect the technical scope that exceeds native platform capabilities, spanning integrations, data mobility and migrations, custom applications, and the interfaces between them.
Estimate the effort and the consumption impact of the technical work you scope.
Partner with the Account Owner and the Deployment Strategist to sell forward-deployed engineering services, establishing credibility with enterprise architects, security reviewers, and the executives funding the work.
A foundational role redining how Docebo partners with most ambitious enterprise customers by designing, building, and deploying high-impact solutions in live environments using next-generation AI workflows.
Responsibilities
Serve as the go-to platform authority and trusted expert in high-stakes customer scenarios.
Run deep discovery, architect creative answers, and build live configurations.
Own scoped customer projects end-to-end, translating complex business objectives into measurable platform value.
Build, tune, and deploy custom AI agents and shape intelligent Enterprise Knowledge collections.
A billable, client-facing consulting role serving as the technical leader on client engagements, building and deploying agentic AI inside complex enterprise environments.
Responsibilities
Lead engagements technically and serve as the senior technical leader.
Set architecture direction and guide forward deployed engineers.
Map client's system landscape including ServiceNow, SAP, Oracle, Salesforce, Workday, custom systems, and integrations.
Translate business processes into agent-ready requirements (incident resolution, procure-to-pay, order-to-cash, employee onboarding).
Design integration approaches: APIs, integration platforms, event streams, MCP, tool-calling layers, and data access patterns.
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp
Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Provide technical consultation to customers, acting as a technical advisor and building customer relationships
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud
Liderar, com excelência e total autonomia, o processo de pré-venda, sob o ponto de vista técnico, com autoridade no desenho da melhor solução de qualquer complexidade, contemplando as ofertas da Sensedia.
Responsibilities
Liderar o processo de pré-venda técnico e o desenho da melhor solução.
Liderar a implementação de provas de conceitos usando os produtos da Sensedia.
Ser referência técnica interna e no mercado nos assuntos das ofertas da empresa.
Atuar como mobilizador e articulador entre áreas internas e parceiros.
Liderar iniciativas de melhoria contínua do desempenho da equipe.
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