Cloudinary
From Cloudinary's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the Role We're looking for a Senior AI Solutions Builder to join our Product - CTO Ops team.
We're looking for a Senior AI Solutions Builder to join our Product - CTO Ops 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.
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
Builder / vibe coder mindset uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket
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
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
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