Senior Product Manager, AI Division

🕒 May 22

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

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Tango

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏠 Real Estate

☁️ SaaS

🏢 Enterprise

Real Estate • SaaS • Enterprise

Tango is a software company that provides a connected intelligence platform for managing commercial real estate across the entire property lifecycle. Its SaaS products include portfolio strategy, site selection and predictive analytics, lease and transaction management, project and maintenance coordination, occupancy and workplace tools, and energy & sustainability (utility, emissions, and ESG reporting). Tango serves corporate real estate, retail, landlords, and government customers to optimize space, reduce costs, and meet sustainability goals.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.