Note: The job is a remote job and is open to candidates in USA. Tango Analytics helps businesses make smarter decisions through technology, data, and collaboration. The Senior Product Manager will own an enterprise Workspace product area end-to-end, leading discovery, roadmap prioritization, product specifications, and delivery while balancing platform modernization and new value creation. The role also drives cross-functional alignment, engages enterprise stakeholders, and connects product decisions to retention, expansion, and recurring revenue.
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
- 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
- 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
- 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
Skills
- 8+ years in product management with end-to-end ownership in an enterprise 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
- Experience with complex enterprise workflows — multi-step, data-dense, multi-persona systems where operational consequences are real
- 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
- Workspace analytics experience strongly preferred
- Real estate, facilities, lease administration, or adjacent enterprise SaaS domains preferred
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) plan with company match
- Generous paid time off
- Flexible work arrangements, including remote, hybrid, or in-office options
- Inclusive and collaborative culture where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice
Company Overview
Company H1B Sponsorship