Product Manager – Generative AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Articulate the product vision, strategy, and roadmap for GenAI-driven experiences within IDeaS Intelligence and the wider IDeaS portfolio.

• Identify significant client challenges suitable for conversational interfaces, summarization, explanation, natural language exploration, content creation, or agent-assisted workflows.

• Formulate investment hypotheses and business cases grounded in customer value, differentiation, adoption, effort, cost, and commercial potential.

• Lead discovery efforts with revenue leaders, analysts, property teams, multi-property operators, and enterprise clients.

• Define comprehensive GenAI experiences, encompassing conversation flows, source grounding, citations, controls, escalation paths, and human review mechanisms.

• Convert needs into product specifications, AI execution playbooks, user stories, acceptance criteria, prototypes, and quantifiable quality targets.

• Conduct concept tests, design-partner programs, alpha and beta releases, and structured customer feedback loops.

• Collaborate with AI/ML Engineering, Data Science, Architecture, Design, Analytics, Security, Privacy, Legal, QA, and domain specialists to deliver production capabilities.

• Define and prioritize GenAI product patterns, including retrieval-augmented generation, tool usage, structured outputs, in-context assistance, multi-turn conversations, summarization, and agent-assisted workflows.

• Create evaluation frameworks utilizing offline test sets, expert reviews, automated assessments, red-team scenarios, and production telemetry.

• Set release criteria for factual accuracy, relevance, completeness, usability, latency, reliability, safety, and cost.

• Manage product responses to hallucination, unsupported recommendations, prompt injection, data leakage, stale context, inconsistent answers, and user overreliance.

• Integrate responsible AI principles and delineate source provenance, limitations, confidence, data boundaries, retention, access controls, auditability, governance, and safeguards.

• Oversee prioritization and delivery through discovery, experimentation, hardening, launch, and scaled adoption.

• Collaborate with Product Marketing and Commercial teams on positioning, packaging, monetization, differentiation, demonstrations, and sales enablement.

• Establish onboarding, education, adoption, feedback, and support models with customer-facing teams.

• Develop launch and release-readiness plans that include 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 that cover customer outcomes, adoption, engagement, answer quality, trust, task completion, time saved, retention, revenue impact, reliability, latency, and unit economics.

• Instrument user journeys and employ 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 mix 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.

• Proven experience in defining and delivering customer-facing SaaS or enterprise software products from discovery through to launch and adoption.

• Ability to translate complex customer challenges, data, and technical constraints into clear product requirements and intuitive experiences.

• Practical knowledge of large language models, prompting, retrieval-augmented generation, grounding, evaluation, guardrails, and human-in-the-loop design.

• Capacity to define measurable quality and business outcomes and make evidence-based prioritization choices.

• Excellent written, verbal, and visual communication abilities, including the skill to explain AI behavior and trade-offs to technical, commercial, executive, and customer audiences.

• Experience in leading cross-functional teams and exercising influence without direct authority.

• Legally authorized to work in the United States.

• Must not require sponsorship for employment visa status now or in the future.

• Preferred: Experience in building or managing production GenAI, conversational AI, analytics, decision-support, or agent-assisted products.

• Preferred: Background 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 clients and in regulated or high-trust scenarios.

• Preferred: Experience supporting commercialization, packaging, monetization, go-to-market strategies, and adoption of new technology capabilities.

🏝️ Benefits

• An inclusive work environment that fosters diverse perspectives and authentic voices.

• A work-life balance that promotes all aspects of life.

• Equal opportunity employment.