Top Tech Jobs & Startup Jobs

Leads the Platform & Knowledge team responsible for AI agents, knowledge architecture, content governance, onboarding, learning, certifications, simulations, and analytics. Owns the AI backbone from architecture through production, establishes content and truth standards, manages the program supply chain, closes knowledge gaps using telemetry, and partners with Engineering, RevOps, Product, and marketing teams. This player-coach role requires hands-on AI implementation alongside team leadership and cross-functional roadmap ownership.

Own growth across activation, monetization, expansion, onboarding, pricing, product messaging, website conversion, feature discovery, and referral loops. Design and evaluate experiments, analyze behavioral data, segment paying personas, improve free-to-paid conversion, and ship product changes with engineering. Success involves identifying the paying persona, rebuilding upgrade experiences, launching lifecycle programs, and materially increasing activation and revenue.

Owns the renewal process from customer outreach and value conversations through negotiation, closing, and confirmation. The role manages renewal forecasts, retention risks, contract escalations, upsell and cross-sell opportunities, Salesforce records, partner relationships, and cross-functional collaboration with Sales, Finance, Legal, and Customer Success. It also contributes to improving renewal playbooks, automations, processes, and AI-enabled workflows in a global SaaS environment.

Leads and mentors approximately five engineers while owning core work-surface experiences from architecture through post-launch impact. Solves performance, client-side state, data-scale, and production AI-quality challenges. Establishes AI-first engineering practices, ships user-facing products, measures outcomes, and balances immediate customer needs with long-term product direction across a TypeScript, React, Node.js, Ruby on Rails, Redis, MySQL, Kubernetes, and AWS stack.

Build and lead an internal infrastructure platform connecting R&D and infrastructure teams. Design APIs, abstractions, workflows, self-service cloud and Kubernetes tooling, and an AI agents platform. Establish guardrails, observability, evaluation, auditability, and reliability for automated production workflows. Drive architecture, technical initiatives, adoption, mentoring, and incident response while partnering with distributed teams in Tel Aviv and Warsaw.

Design and ship production AI systems and autonomous agents that plan, execute, verify, and recover across complex tools and workflows. Build evaluation and observability capabilities, explore models and techniques, balance capability with latency, cost, and reliability, and own projects from experimentation through production impact. Collaborate across monday.com while applying strong architecture, cloud engineering, product judgment, communication, and ownership.

Lead AI transformation and software implementation engagements for enterprise customers. Design and configure agentic workflows, automations, relational data structures, reporting, and AI-native solutions in monday.com. Advise clients on business process design, manage projects, deliver training and demonstrations, document solutions, and collaborate with technical teams on integrations and data conversions. Represent customer needs internally and contribute reusable implementation assets.

Supports monthly, quarterly, and annual close and financial reporting; develops accounting policies and procedures; reviews financial data and corporate compliance; supports audits, statutory statements, tax returns, SOX controls, US GAAP implementation, and special projects.

Own employee relations casework, statutory HR compliance, policy management, audits, manager training, and works council relationships across six EMEA countries. Provide HR business partnering to assigned teams, coach managers, support workforce planning and talent discussions, and collaborate with Legal, Finance, Security, and People functions. The role requires independent case management, strong employment law knowledge, stakeholder management, and practical risk mitigation in a fast-paced SaaS environment.

Lead the end-to-end design vision for an AI-native product, from discovery and strategy through polished launch. Mentor designers, establish design principles, create visual-content workflows, build scalable design systems, influence product strategy, and collaborate closely with engineering and leadership. Use AI tools, coding agents, rapid prototyping, research, and customer feedback to validate ideas and deliver high-quality experiences in an ambiguous, startup-like environment.