Senior Product Manager, AI Division

🕒 Maio 22

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

✅ Gerente de Produto

🦅 Patrocina Visto H1B

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Tango

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏠 Imobiliário

☁️ SaaS

🏢 Corporativo

Real Estate • SaaS • Enterprise

A Tango é uma empresa de software que fornece uma plataforma de inteligência conectada para gerenciamento de imóveis comerciais ao longo de todo o ciclo de vida da propriedade. Seus produtos SaaS incluem estratégia de portfólio, seleção de locais e análises preditivas, gestão de contratos de locação e transações, coordenação de projetos e manutenção, ferramentas de ocupação e locais de trabalho, e energia e sustentabilidade (utilitários, emissões e relatórios ESG). A Tango atende corporativos do setor imobiliário, varejistas, proprietários e clientes governamentais para otimizar o espaço, reduzir custos e alcançar metas de sustentabilidade.

Descrição

• Own AI product areas within Tango's intelligence layer: define what to build, write acceptance criteria including accuracy thresholds and human-in-the-loop requirements, and ship features with the AI Engineering team. • Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation standards. • Design trust surfaces for enterprise customers: confidence disclosure, citation standards, audit trails, and explainability are product decisions you own. • Run discovery with enterprise customers through design partner conversations, usage data analysis, and competitive landscape tracking. • Frame AI investment in customer outcome terms: retention impact, expansion signal, time-to-value. • Define enterprise-grade AI guardrails: confidence thresholds, latency requirements, and human-in-the-loop triggers appropriate for customers with compliance obligations. • Continuously evolve organizational and engineering practices to support and grow the Tango intelligence layer.

🎯 Requisitos

• 5+ years in product management with shipped and validated AI or ML features in a B2B SaaS environment • Proven ability to partner with AI Engineering as a peer; earns technical credibility through product judgment; understands model behavior well enough to write meaningful acceptance criteria and constraints. • Track record of defining "ready to ship" before Engineering starts building. • Comfortable operating within a team where a director sets the platform strategy while you own full product area decisions and execution. • Fluent in LLM-specific product patterns: RAG, evaluation frameworks, prompt versioning, latency/cost trade-offs, and human-in-the-loop design. • Experience designing enterprise trust surfaces: confidence disclosure, citation standards, explainability, and audit trails for users with compliance obligations. • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

🏖️ Benefícios

• Comprehensive Benefits Including health, dental, and vision insurance • 401(k) plan with company match • generous paid time off to support your well-being • Flexible Work Environment Whether remote, hybrid, or in-office • Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.