Senior Product Manager

Tango Analytics is dedicated to helping businesses make smarter decisions through innovative technology and insightful data. They are seeking a Senior Product Manager to own product areas, drive cross-functional alignment, and engage with enterprise stakeholders, ensuring that product decisions are grounded in customer insights and business outcomes.

Responsibilities:

• Own a product area end-to-end — discovery, roadmap, prioritization, specs, and delivery for enterprise workflows in real estate transactions, lease analysis, portfolio management, or facilities operations
• Run continuous discovery with enterprise customers — interviews, data analysis, and competitive checks — and translate findings into prioritized roadmap decisions grounded in evidence
• Write clear, well-scoped product specs in an AI-assisted development process. AI tools accelerate the work; you own the judgment, prioritization, and product decisions
• Navigate platform modernization constraints — make sharp trade-off calls between reducing legacy debt and delivering new value while preserving the data models and business rules that make the product a system of record
• Drive cross-functional alignment across Engineering, Design, Sales, and Customer Success. Scope, sequencing, and trade-off decisions are yours to make and communicate
• Connect product work to business outcomes — retention, expansion, annual recurring revenue. Articulate why roadmap decisions matter to the business, not just to the user
• Engage directly with enterprise stakeholders — VP- and Director-level customers managing tens of billions in real estate spend — to validate priorities and maintain ongoing customer relationships

Requirements:

• 5+ years in product management with end-to-end ownership of a product area in a B2B SaaS environment
• Proven ability to partner with Engineering without translation — reads data models, evaluates technical trade-offs, and writes specs with enough precision for engineers to execute confidently
• Track record of running discovery as a discipline: maintains a customer interview cadence, synthesizes findings into roadmap decisions, and can show traceable impact on what got built
• Operates in an AI-native workflow — uses AI tools as a core part of how they work (synthesis, research, spec writing) and brings a point of view on how AI-assisted product practice should operate
• Strong prioritization instinct: can make sharp trade-off calls between legacy debt reduction and new value creation within a platform modernization context
• Comfortable operating in a fast-paced environment with finite timelines and resource constraints — understands how roadmap decisions connect to retention, expansion, and company value
• Bachelor's degree in a relevant field — or equivalent experience
• enterprise SaaS experience strongly preferred
• Experience with complex enterprise workflows — multi-step, data-dense, multi-persona systems where operational consequences are real. Real estate, facilities, lease administration, or adjacent enterprise SaaS domains preferred