חברות הייטק בישראל ‹ Cloudinary ‹ Senior AI Solutions Builder
כישורים מהמשרה
Building and shipping AI-powered tools, agents, copilots, and pipelines in productionLLM-based development (LLM APIs, prompt engineering, agentic frameworks)Designing and developing autonomous agents to automate recurring product tasksData pipelines and analytical models for pricing intelligenceBuilding workflow automation across product tools triggered by signalsScoring models for roadmap and prioritization decisionsPython and SQLAnalytics and experimentation (A/B testing, causal inference, uplift modeling)Cross-functional collaboration in B2B SaaS (Product, Engineering, CS, Sales, Finance, GTM)Measuring impact (time-to-insight, decision velocity, manual hours eliminated)
תיאור המשרה
About the Role We're looking for a Senior AI Solutions Builder to join our Product team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization. You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work. You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth. You Will Design and ship AI-powered copilots, agents, and decision-support tools for the Product team, starting with Pricing Build data pipelines and analytical models for pricing intelligence Develop autonomous agents that automate recurring Product tasks Automate manual workflows across product tools so the right action happens when a signal fires Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes You Bring Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments Builder / vibe coder mindset — uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket Strong analytical foundation: pricing or business scenario modeling, experimentation design, usage data analysis Proficiency in Python and SQL; comfortable with LLM APIs, prompt engineering, and agentic frameworks Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment Ability to connect systems independently: APIs, webhooks, data pipelines Strong communication and collaboration skills across diverse teams Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment Comfortable learning and applying new technologies, tools, and methodologies 5+ years in AI/ML engineering, product analytics, or a closely related builder role Ideally, You Bring Experience in pricing, monetization, revenue analytics, or usage-based commercial models Background in Product work Familiarity with causal inference, A/B experimentation, or uplift modeling Comfortable with analytics platforms (Heap, GA4, Mixpanel, Amplitude) and PM tools (Jira, Confluence, Productboard, etc.) Experience working in a distributed, multicultural environment #LI-SL1
על Cloudinary
Cloudinary’s mission is to empower companies to deliver visual experiences that inspire and connect by unleashing the full potential of their media. With 80 billion assets under management and more than 11,000 customers and three million users worldwide, Cloudinary is the industry standard for developers, creators and marketers looking to manage, transform, and deliver images and videos online. As a result, leading brands are seeing significant business value in using Cloudinary, including faster time to market, higher user satisfaction and increased engagement and conversions.