Jobs at monday.com

Own the full sales cycle for named enterprise accounts, from relationship building and stakeholder engagement through negotiation and contracting. Demonstrate monday.com’s value and connect its solution to customer ROI, develop account strategies, coordinate cross-functional support, and serve as an escalation point for commercial and relationship issues.

Build AI-native products and full-stack features from concept through deployment and monitoring. Lead architectural decisions, collaborate with product and design, and improve engineering reliability, performance, and scalability. Develop user experiences with React, Next.js, Node.js, and TypeScript while integrating LLM technologies. Establish AI development best practices, testing strategies, and evaluation methods for model behavior. Preferred experience includes vector embeddings, RAG architectures, rapid prototyping, and startup environments.

Lead company-wide planning, forecasting, and performance analysis. Build and maintain financial models, translate financial data into actionable insights for senior stakeholders, partner with finance and business teams to align resources, and own key analyses while improving processes.

Provide high-level strategic and administrative support to the founders/CEOs including complex calendar management, end-to-end travel planning, event and off-site organization, acting as a point of contact, managing communications, and driving special projects. Leverage AI tools to improve productivity and integrate AI into daily workflows.

Own the full sales cycle for mid-market SaaS customers, including relationship building, solution positioning, negotiation, contracting, and customer ROI development. Manage complex deals with multiple stakeholders, coordinate cross-functional support, serve as an escalation point, and help customers maximize the value of monday.com. Success requires consultative selling, strong communication and negotiation skills, independent execution, collaboration, and consistent quota overachievement.

Own the full sales cycle for mid-market customers in France, from territory mapping and outbound prospecting through negotiation, contracting, and closing. Build trusted relationships with stakeholders, understand business challenges, connect monday.com’s platform to customer ROI, exceed quotas, identify expansion opportunities, and coordinate cross-functional support. The role requires consultative selling, complex deal management, strategic digital transformation experience, strong communication, negotiation skills, and native-level French fluency.

Partners with enterprise customers to understand operational challenges, design and deploy scalable workflows, build prototypes and automation, and lead technical onboarding. Owns integrations, SSO, SCIM, security configuration, troubleshooting, documentation, and training. Collaborates with Product, Engineering, and AI teams to convert customer needs into platform capabilities while serving as a trusted technical advisor.

Own the full sales cycle for SMB customers, from relationship building and stakeholder engagement through negotiation and contracting. Connect monday.com’s platform to customer ROI, drive upsells and expansions, coordinate cross-functional support, and serve as an escalation point for commercial issues. The role requires consultative selling, complex deal management, quota attainment, and strong communication in a hybrid Atlanta office environment.

Manage the global procure-to-pay lifecycle from purchasing requests through delivery and payment. Negotiate complex contracts, drive cost reductions, oversee vendor relationships, and support purchasing operations across global and domestic markets. The role partners with Finance, Security, Legal, and internal stakeholders while requiring strong organization, multitasking, communication, ERP, and data analysis skills.

Own complex customer product and technical inquiries across chat, email, and Zoom. Diagnose root causes, configure solutions, educate customers, identify broader value and expansion opportunities, and coordinate with technical support teams. Build product expertise, share knowledge, mentor teammates, and stay current on AI capabilities. The role requires strong communication, empathy, technical learning ability, adaptability, and customer-focused problem solving.

Lead AI transformation engagements for 1–2 strategic enterprise customers. Partner with executives to define outcomes, architect and build production AI solutions, configure monday AI agents and vibe apps, integrate customer systems through MCP, and develop custom scripts. Own deployments from discovery through rollout and adoption, measure business impact, conduct workflow evaluations, and convert deployment insights into reusable assets, product requirements, and roadmap improvements. Collaborate with Sales, Customer Success, and Product as the technical authority.

Lead enterprise software implementation and AI transformation engagements for customers. Design and configure intelligent workflows, agents, relational data structures, automations, and reporting in monday.com. Consult on business processes, manage project plans, conduct discovery, training, webinars, and demos, and ensure customer adoption. Collaborate with strategists and engineers on integrations and data conversions while documenting solutions and contributing reusable assets.

Build and own Luna’s autonomous-agent platform in close collaboration with the founder and monday.com CEO. Develop reliable, deterministic agent workflows; implement secure sandboxing, secret isolation, rollback, audit trails, approval gates, plugins, and evaluation mechanisms. Translate ambiguous product challenges into production systems while applying strong distributed-systems, reliability, and security fundamentals. Experience with production LLM tooling, tool use, sandboxing, and evals is preferred.

Lead end-to-end product design for monday CRM across desktop and mobile. Define and ship agentic AI experiences, lead complex 0-to-1 initiatives, shape product vision and roadmaps, and guide other designers. Partner with Product and Engineering, advocate for customer needs, validate designs through research and usage data, leverage design systems, and contribute to design culture and best practices.

Own engineering for Funnel Fighters, building data pipelines that ingest hourly data from advertising, landing page, product event, and billing sources. Design unified, machine-readable data models with freshness, lineage, auditability, and API access. Develop systems that enable AI agents to analyze marketing funnels, make platform changes, and measure impact. Work independently in a small, founder-led startup environment.

Own AI transformation engagements for 1–2 strategic customers, partnering with executives and technical teams to architect, build, deploy, and measure production AI solutions. Develop agents, integrations, applications, workflows, and custom scripts; define success criteria and drive adoption and ROI. Evaluate real-world deployments, provide evidence-based product feedback, create reusable assets, and advise Sales and Customer Success on account strategy.

Own AI transformation engagements for 1–2 strategic customers, partnering with executives and technical teams to architect, build, deploy, and measure production AI solutions. Develop monday AI agents, vibe apps, MCP integrations, workflows, and custom scripts. Define business outcomes, run evaluations, provide product feedback, and turn customer-specific solutions into reusable assets and product requirements while collaborating with Sales, Customer Success, and Product.

Build and shape render.ai, an AI-native product, from user needs through production. Develop end-to-end experiences across the stack using React/Next.js, Node.js, and TypeScript, while managing cloud infrastructure, CI/CD, and production systems. Collaborate closely with product and engineering teammates, exercise strong UX judgment, use AI-assisted development effectively, and create clarity in an early-stage startup environment.

Build and improve AI systems for text and image generation at render.ai. Responsibilities include prompt engineering, model quality lifecycle management, evaluation frameworks, offline testing, A/B experiments, production monitoring, observability, data sourcing and cleaning, and rapid prototyping. The role requires strong TypeScript and Python skills and involves expanding the product into additional modalities such as voice and video.

Lead and grow a portfolio of 8–12 ANZ channel and alliance partners (resellers, SIs, alliances). Own partner strategy, joint business plans, tier progression, enablement, GTM execution, and quarterly business reviews. Serve as primary partner contact, influence internal product/marketing decisions, and track partner performance against revenue and enablement metrics.