🏆 Senior AI Project Manager - Leading GenAI/ML Projects at Scale

🌟Who we are At Blindspot AI, we turn cutting-edge AI technologies into real business impact - from end-to-end AI Products, scalable Agentic Platforms, and forecasting ML ecosystems to predictive maintenance, back-office automation, and manufacturing optimization. We are part of the Deloitte Fast 50 and recipients of the Microsoft Digital Transformation Award, and we work with both startups and multinational enterprises in Banking, Insurance, Healthcare, Manufacturing, Automotive, and many other industries. 🎯Your mission You will own the end-to-end delivery of active GenAI platform projects - coordinating between client teams, internal engineers, and external partners to keep everything moving. You're the person who makes sure blockers get resolved, decisions get made, and nothing falls through the cracks & we deliver on time and on budget. Our clients are technically sophisticated and will challenge you when delivery slips - you’ll be the one handling that conversation. If you can operate with ambiguity and own your mistakes, you’ll have real room to grow here. You don't need to write the code - but you need to understand what's being built, ask the right questions, and earn the trust of both technical teams and client stakeholders. 🧩 What you'll own End-to-end project delivery - Own Gen AI Platform extension and multiple concurrent AI use cases developed by our internal team from scoping and planning through UAT and production go-live; manage scope, team, risks, timelines, and dependencies Client & partner coordination - Be the main point of contact for external delivery partners; run meetings, publish agendas and recaps, follow up on action items, keep relationships healthy Access & provisioning management - Coordinate infrastructure access requests (cloud platforms, API keys, tooling access, quota increases) across internal and client systems Stakeholder communication - Keep all parties informed: prepare status updates, flag blockers early, manage expectations, and facilitate decisions when things get stuck Tooling & platform oversight - Understand the GenAI stack, software development practices, security, AI, and cloud well enough to collaborate effectively with engineers and respect technical constraints Delivery structure - Maintain Jira boards, track progress across workstreams, and ensure the team has what it needs to deliver at pace 🔥 Projects you’ll be working on Agentic AI Platforms : multi-use-case GenAI ecosystems with LLM orchestration, governance, and observability Document AI : automated report generation, extraction pipelines, validation workflows & more ML Platforms : production-grade infrastructure for model deployment, monitoring, and lifecycle management Industry AI : delivery across regulated sectors 🔍 What we are looking for 5+ years of hands-on experience delivering technical projects with distributed teams as a project manager - ideally in AI/ML, data, or cloud platform environments Proven track record of owning delivery across multiple workstreams simultaneously and collaborating with external partners, from kickoff to production Comfortable in client-facing roles - you build trust, set expectations clearly, and handle escalations calmly Enough technical fluency to hold a conversation with engineers, understand tradeoffs, and know when something is off Ability to support and motivate the team - you give feedback, encourage growth, and resolve issues effectively Structured and disciplined in how you work - strong on follow-through, Jira hygiene, and keeping async communication clear English proficiency, Czech language is a plus. Nice to have: Experience in regulated industries Familiarity with cloud AI/data platforms (Azure, Databricks, AWS) at a conceptual level Exposure to Gen AI tooling, LLM APIs, or observability platforms (even if not hands-on) Structured delivery methodology experience/certification 🎉 What you'll get A real, live project - not a PoC; you'll be managing delivery that ships to production You own your workstreams and report to a Senior Delivery Lead Flexibility: Karlín office + hybrid options 25 vacation days + well-being benefits A team that's technically sharp and moves fast