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