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Profound

AI answer-engine visibility analytics for brands

Value Consultant

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Experience in value engineering, business value consulting, presales, strategic consulting, management consulting, financial analysis, or enterprise technology.
  • Strong financial modeling and quantitative analysis skills.
  • Ability to understand complex technology and translate technical capabilities into business and financial outcomes.
  • Strong executive communication and presentation skills.
  • Comfort working directly with customers during high-value enterprise sales cycles.
  • Ability to operate with incomplete information and develop transparent, defensible assumptions.
  • Experience building executive-facing business cases.
  • Strong commercial judgment and understanding of enterprise buying processes.

Responsibilities

  • Partner with account executives and presales teams throughout complex enterprise sales cycles to establish a compelling, financially grounded business case.
  • Understand a customer's current-state processes, costs, operational challenges, strategic priorities, and desired outcomes.
  • Build customized return on investment, total cost of ownership, payback, net present value, and value realization models that quantify the economic impact of proposed solutions.
  • Translate operational improvements, including productivity gains, cost reduction, revenue growth, risk reduction, process efficiency, and automation, into financial outcomes.
  • Develop executive-ready business cases, value assessments, and presentations that help customers justify investment decisions.
  • Facilitate discovery sessions with business, finance, information technology, and executive stakeholders to identify and validate value drivers.
  • Work with customers to define a baseline or current state, target future state, and measurable benefits associated with the transformation.
  • Quantify hard-dollar benefits and strategic or operational benefits, clearly distinguishing between validated value and modeled assumptions.
  • Present findings and recommendations to senior executives, including chief financial officers, chief information officers, chief operating officers, and business-unit leadership.
  • Help sales teams overcome budget objections by connecting technology capabilities to business outcomes and financial impact.
  • Support late-stage deal strategy by demonstrating economic differentiation versus competing approaches or maintaining the status quo.
  • Develop value-realization frameworks that allow customers to track whether projected benefits are achieved after implementation.
  • Continuously improve reusable return-on-investment methodologies, financial models, benchmarks, calculators, and value-selling tools.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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