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Revenue Manager; AI​/Tech

Job in New York, New York County, New York, 10261, USA
Listing for: Vaco Recruiter Services
Full Time position
Listed on 2026-05-13
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 150000 USD Yearly USD 150000.00 YEAR
Job Description & How to Apply Below
Position: Revenue Manager (AI/Tech)
Location: New York

Revenue Manager - AI/Technology Platform - $150,000 - 1,800,000 + Equity - NYC; 4-5 Days on-site

Key Responsibilities
  • Establish authority on revenue management and pricing strategy to build trust and long-term professional relationships with clients.

  • Advise clients on utilizing analytical tools to refine pricing decisions and optimize day-to-day operational workflows.

  • Convert data insights into practical action
    , helping clients weigh trade-offs and execute effective leasing strategies.

Product Development & Strategy
  • Aggregate and refine client input
    , transforming observations into precise, executable requirements for technical teams.

  • Influence the product roadmap by ensuring feature development stays grounded in the functional realities of revenue management.

  • Guide the evolution of the software suite by identifying emerging industry needs and systemic trends across the user base.

Implementation & Operational Scaling
  • Manage the full client lifecycle
    , from initial configuration through to long-term feature adoption.

  • Standardize essential processes by creating documentation, training modules, and playbooks that support efficient, scalable rollouts.

  • Proactively manage risk by identifying implementation blockers early, resolving technical hurdles, and ensuring high standards for ongoing client success.

Requirements
  • Industry Tenure: Minimum of 3 years of direct experience in revenue management, pricing strategy, or asset performance roles within multifamily, real estate, or related sectors.

  • Technical Proficiency: Expert-level understanding of the factors that shape pricing, including demand-side data, occupancy constraints, and the decision-making logic behind rent setting.

  • Client Advisory

    Skills:

    Proven success in delivering guidance to clients.

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