Product Manager – Generative AI

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🔥 2 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

✅ Product Manager

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IDeaS Revenue Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1989

✈️ Travel

📦 Logistics

🏨 Hospitality

Travel • Logistics • Hospitality

IDeaS Revenue Solutions is a leading provider of hospitality revenue management software that helps businesses forecast accurately, optimize pricing, and achieve greater profitability. With 35 years of industry leadership and a presence in over 164 countries, IDeaS offers a range of services including financial forecasting, budgeting, consulting, and strategy planning for a variety of sectors within the hospitality industry, such as hotels, resorts, and airports. The company's innovative solutions leverage technology and analytics to transform data into actionable insights, allowing clients to maximize their revenue potential.

📋 Description

• Define the product vision, strategy, and roadmap for GenAI-powered experiences within IDeaS Intelligence and the broader IDeaS portfolio • Identify high-value client problems suited to conversational interfaces, summarization, explanation, natural-language exploration, content generation, or agent-assisted workflows • Develop investment hypotheses and business cases based on customer value, differentiation, adoption, effort, cost, and commercial opportunity • Lead discovery with revenue leaders, analysts, property teams, multi-property operators, and enterprise customers • Define end-to-end GenAI experiences, including conversation flows, source grounding, citations, controls, escalation paths, and human review • Translate needs into product requirements, AI execution playbooks, user stories, acceptance criteria, prototypes, and measurable quality targets • Run concept tests, design-partner programs, alpha and beta releases, and structured customer feedback loops • Partner with AI/ML Engineering, Data Science, Architecture, Design, Analytics, Security, Privacy, Legal, QA, and domain experts to deliver production capabilities • Define and prioritize GenAI product patterns including retrieval-augmented generation, tool use, structured outputs, in-context assistance, multi-turn conversation, summarization, and agent-assisted workflows • Create evaluation frameworks using offline test sets, expert review, automated evaluation, red-team scenarios, and production telemetry • Establish release criteria for factual accuracy, relevance, completeness, usability, latency, reliability, safety, and cost • Own product responses to hallucination, unsupported recommendations, prompt injection, data leakage, stale context, inconsistent answers, and user overreliance • Embed responsible AI principles and define source provenance, limitations, confidence, data boundaries, retention, access controls, auditability, governance, and safeguards • Own prioritization and delivery through discovery, experimentation, hardening, launch, and scaled adoption • Partner with Product Marketing and Commercial teams on positioning, packaging, monetization, differentiation, demonstrations, and sales enablement • Define onboarding, education, adoption, feedback, and support models with customer-facing teams • Develop launch and release-readiness plans including quality evidence, monitoring, support playbooks, communications, and rollback or feature-control options • Communicate decisions, trade-offs, progress, dependencies, and risks to executives, delivery teams, and customers • Define scorecards covering customer outcomes, adoption, engagement, answer quality, trust, task completion, time saved, retention, revenue impact, reliability, latency, and unit economics • Instrument user journeys and use experimentation, cohort analysis, customer evidence, evaluation results, telemetry, and commercial performance to refine the roadmap

🎯 Requirements

• Bachelor's degree in Business, Hospitality, Computer Science, Engineering, Analytics, Economics, Operations Research, Human-Computer Interaction, or a related field, or an equivalent combination of education, training, and relevant experience • 3+ years of experience in Product Management, Product Development, AI/ML products, Analytics, Strategy, Consulting, or related software roles • Experience defining and delivering customer-facing SaaS or enterprise software products from discovery through launch and adoption • Ability to translate complex customer problems, data, and technical constraints into clear product requirements and intuitive experiences • Practical understanding of large language models, prompting, retrieval-augmented generation, grounding, evaluation, guardrails, and human-in-the-loop design • Ability to define measurable quality and business outcomes and make evidence-based prioritization decisions • Strong written, verbal, and visual communication skills, including explaining AI behavior and trade-offs to technical, commercial, executive, and customer audiences • Experience leading cross-functional teams and influencing without direct authority • Legally authorized to work in the United States • Must not require now or in the future sponsorship for employment visa status • Preferred: Experience building or managing production GenAI, conversational AI, analytics, decision-support, or agent-assisted products • Preferred: Experience in hospitality, travel, revenue management, pricing, forecasting, commercial optimization, or enterprise business intelligence • Preferred: Familiarity with experimentation, LLM evaluation, model and prompt versioning, observability, red teaming, and AI quality or safety practices • Preferred: Experience with enterprise data architectures, APIs, semantic layers, identity and access management, privacy, security, or multi-tenant SaaS environments • Preferred: Experience working with enterprise customers and regulated or high-trust use cases • Preferred: Experience supporting commercialization, packaging, monetization, go-to-market, and adoption of new technology capabilities

🏖️ Benefits

• Inclusive work environment supporting diverse perspectives and authentic voices • Work-life balance supporting all aspects of life • Equal opportunity employment

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