AI Product Manager

Role Overview

• Own the product roadmap for Sadie's Voice AI platform — set priorities, align stakeholders, and drive execution
• Define how we apply LLMs, speech recognition, and conversational AI to hospitality workflows: booking, guest services, front desk automation, and beyond
• Balance client needs, AI model improvements, and platform scalability when making prioritization calls
• Present the roadmap to leadership and key hotel partners with clarity and conviction
• Work with hotel clients to understand their workflows, gather requirements, and scope custom Voice AI solutions
• Lead technical discovery sessions — map PMS workflows, understand API constraints, and identify where AI drives the most value
• Define AI-powered feature specs and own delivery from concept to production
• Identify patterns across client requests and feed them into the core platform roadmap
• Translate AI capabilities (LLMs, ASR, TTS, NLU) into concrete product features with clear specs and acceptance criteria
• Collaborate with ML and engineering teams on model selection, prompt design, evaluation frameworks, and quality benchmarks
• Stay current on the AI landscape — identify emerging models, tools, and techniques that could move the roadmap forward
• Own the full product lifecycle for AI features: discovery, spec, build, evaluation, launch, and iteration
• Serve as the liaison between business, sales, CSM, and the AI/engineering team
• Meet regularly with hotel clients — gather structured feedback and translate it into product improvements
• Write and distribute release notes org-wide after each sprint; train CSM and sales on new AI features
• Demo new AI capabilities to clients and prospects — articulate the value behind every release

Requirements

• 2–3 years in product management, technical product ownership, or a software/AI engineering role with product responsibility
• Familiarity with AI/ML systems — you understand how LLMs, APIs, and AI pipelines work, even if you're not training models yourself
• Experience contributing to a product roadmap — gathering requirements, writing specs, and working with engineers to ship
• Solid technical foundation: comfortable with APIs, system architecture, and engaging with engineering at a meaningful level
• Strong communicator — you can explain a technical concept to a non-technical stakeholder and a product decision to an engineer
• Experience working in an Agile software engineering environment (Jira, Confluence, or similar)
• Nice to Have
• Direct experience with LLMs, prompt engineering, RAG pipelines, or conversational AI products
• Background in hospitality tech — PMS, OTA, booking engine, channel manager, or hotel operations
• Experience building or contributing to API platforms, data integrations, or AI-powered SaaS products
• Exposure to speech technologies: ASR (speech-to-text), TTS (text-to-speech), or NLU systems
• Familiarity with cloud infrastructure (AWS, GCP, or Azure)
• Prior startup or high-growth environment experience
• Bachelor's degree in Computer Science, AI, Engineering, or equivalent hands-on technical experience

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform