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Technical Project Manager & Business Analyst Hybrid - Remote (Contractor) at Shae Group.  Lead AI-driven initiatives from discovery to launch — experienced, hands-on TPM/BA needed. Title: Technical Project Manager + Business Analyst. Location: Remote - Global - . Philippines, Vietnam, Indonesia, China, Latin America (Mexico, Colombia, Brazil, Argentina, Peru, Ecuador), Eastern Europe (Poland, Ukraine, Romania, Bulgaria, Belarus, Lithuania), Africa (Kenya, South Africa, Nigeria, Ethiopia, Ghana, Egypt). . Must have professional proficiency in spoken and written English.. Base fee: USD $1,000 - $1,500 / MONTH + Performance Bonus (paid via bank direct deposit). Employment type: Contractor. Company: Shae Group. Website:. https://shae.group. Role Overview. Shae Group is hiring senior Technical Project Managers who are outcomes-driven operators, not coordinators.. This is an AI-first, hands-on TPM role for people who:. Have actually worked in technology (coding, QA, systems). Have delivered real AI / LLM projects into production. Are highly organized, structured, and fast. Take full responsibility for delivery outcomes. You will act as the execution engine between vision, architecture, and delivery — ensuring work moves immediately, cleanly, and correctly from direction → tickets → development → production.. This is not a pencil-pushing PM role.. Non-Negotiables (Read Carefully). This role is not a fit if you:. Have never worked hands-on in technology. Have only managed small MVPs or solo freelancer projects. Are slow at turning direction into execution. Are uncomfortable using AI tools daily. Avoid accountability when delivery is at risk. What You’ll Own. 1. AI-First Project Delivery. Act as an AI ambassador for the delivery team:. All documentation, specs, test cases, plans, and comms go through LLMs (GPT / Claude) first. Verify developers are using AI for:. Code generation. Testing. Validation and QA. Understand LLM-based systems well enough to:. Scope AI projects accurately. Ask the right questions. Detect delivery risk early. AI is not optional here — it is how we work.. 2. Technical Project Leadership (End-to-End). Own full project accountability:. Scope, timelines, RAID, delivery health. Standups, sprint execution, stakeholder updates. Convert leadership direction into:. Clear documentation. Tickets. Assignments. Immediate execution. Ensure work moves same-day, not “tomorrow”. If direction is given in a meeting, the team should be executing within hours, not days.. 3. Business Analysis & Documentation Excellence. Produce crystal-clear written artifacts:. Epics, user stories, acceptance criteria. Process flows and system context. UAT plans, runbooks, cutover checklists. Maintain clean, organized documentation systems:. Google Docs. Ticketing systems. Shared folders and canonical sources of truth. You are expected to:. Review meeting transcripts. Use AI to synthesize requirements. Validate AI output for accuracy. Ship clean specs fast. 4. High-Scale, Production-Grade Thinking. Prior experience with:. Large production systems (not just MVPs). High user load (concurrent users, not vanity totals). Ongoing maintenance and reliability. Understand the difference between:. MVP vs production. DAU vs MAU vs concurrent usage. Experience with SaaS platforms required. (PaaS / API products a strong plus). 5. Team Orchestration & Accountability. Coordinate developers, QA, tech leads, and agencies. Ensure every team member:. Knows exactly what to do. Knows why they’re doing it. Is unblocked immediately if confused. Be available when delivery is at risk:. Including weekends if production is under pressure. Escalate early, propose solutions, and drive resolution. You are the glue and the engine of delivery. . Required Experience & Skills. Strong technical background (coding, systems, QA, or engineering). Proven experience delivering AI / LLM-based projects to production. Experience managing multiple concurrent projects. Highly organized, structured, and methodical working style. Exceptional written documentation skills. Strong time awareness and forward planning (1–2 weeks ahead minimum). Comfortable driving teams, not waiting for updates. Humble, calm, confident communicator. Able to work with global teams and varied accents without friction. Preferred Skills (Nice-to-Have). Healthcare, clinical, or regulated data experience. Experience with:. Conversational AI systems. AI scribes, chat-based workflows, document intelligence. Enterprise background with strong process discipline. Exposure to PaaS / API licensing models. What Success Looks Like. Direction turns into execution the same day. Teams are clear, aligned, and moving fast. Projects ship on time and done well. Documentation is clean, complete, and reusable. Risks are surfaced early — not discovered late. Leadership always knows where things stand. Company Location: Lithuania.