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Decagon

Builds AI agents for enterprise customer support

Business Value Consultant

Sales OperationsUpdated on Nov 10
Full-time$265k - $330k /yr

About the Job

Requirements

  • At least 6 years of experience in value engineering, management consulting, sales engineering, strategic finance, or similar roles.
  • Proven experience partnering with Sales on complex enterprise deals and influencing outcomes.
  • Strong financial modeling skills using Excel or Google Sheets, including the ability to build clear, defensible return-on-investment models.
  • Ability to translate technical capabilities into business outcomes that resonate with executive stakeholders.
  • Executive presence and comfort leading conversations with CFOs, COOs, and senior decision-makers.
  • Familiarity with enterprise buying cycles and value-based selling methodologies.

Responsibilities

  • Partner with Account Executives on high-priority enterprise opportunities to uncover customer pain points, quantify impact, and shape deal strategy.
  • Build return-on-investment models, business cases, and value hypotheses tied to customer-specific metrics, including cost reduction, revenue lift, efficiency gains, and customer satisfaction improvement.
  • Lead executive-level value conversations with CFOs, COOs, and senior business stakeholders.
  • Support negotiation and procurement processes with defensible financial justification.
  • Develop industry- and persona-specific value frameworks aligned to Decagon’s core use case.
  • Standardize return-on-investment models, benchmarks, and value drivers across enterprise, mid-market, and vertical segments.
  • Create reusable value calculators, business case templates, and benchmarking data to enable broader go-to-market teams.
  • Partner with Marketing and Product to refine value messaging and positioning.
  • Embed value engineering into the sales process from early discovery through close.
  • Train and enable Account Executives, Sales Engineers, and post-sales teams on value-based selling methodologies.
  • Establish best practices for linking product capabilities to measurable business outcomes.
  • Ensure consistency and rigor in how Decagon positions and proves value in-market.
  • Collaborate with Product and Agent Success to capture realized customer value and feed it back into future deals.
  • Partner with Finance to align on value assumptions, pricing strategy, and deal economics.
  • Work with Revenue Operations to track impact on pipeline, win rates, deal size, and sales cycle.

Desired Qualifications

  • Experience in SaaS, artificial intelligence or machine learning, customer operations, or contact center ecosystems.
  • Background in consulting, such as strategy, operations, or digital transformation, or in investment or strategic finance.
  • Experience building or scaling a value engineering function in a high-growth company.
  • Familiarity with go-to-market systems such as Salesforce and Gong, and data-driven sales processes.
  • Experience in regulated industries such as financial services or healthcare.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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