Senior Value Engineer

Twilio Twilio · Enterprise · United States · Remote · Sales

This role focuses on Value Engineering, partnering with sales to articulate the strategic and financial impact of Twilio's Customer Engagement Platform, including AI-enhanced communications and unified data. The Senior Value Engineer will develop business cases, financial models, and facilitate discovery to meet business objectives. A key requirement is proficiency in prompt engineering and generative AI tools to accelerate the Value Engineering lifecycle.

What you'd actually do

  1. Be the “go-to person” for go-to-market teams and sales leadership in your supported territory for value-related expertise, direct opportunity support and scaled activities
  2. Partner with sales management, account executives, solution engineering, sales specialists and other pre- and post-sales teams to support sales and expansion pursuits within your region.
  3. Develop and deliver compelling, CFO-ready business case presentations, POVs and financial models (ROI & TCO) aimed at accelerating, justifying, and/or expanding sales and renewal opportunities
  4. Work closely with prospective and existing customers, alongside sales and other functions, to identify, prioritize and quantify key business drivers and metrics;
  5. Facilitate internal and external discovery to map out customers' "as is" and "to be" business processes across a wide range of companies and industries

Skills

Required

  • 3+ years of experience in management consulting, value consulting, value engineering, value realization, financial/investment analysis and/or other applicable roles
  • Strong executive presence and presentation skills, comfortable collaborating with and co-presenting to C-suite executives (CIO, CMO, CFO)
  • Proficiency in prompt engineering and generative AI tools to accelerate the Value Engineering lifecycle; specifically using AI tools to synthesize discovery notes, automate the creation of customer-facing materials, and audit ROI formulas for logic, consistency, and scale.
  • A self-starter who thrives in working collaboratively and cross-functionally - particularly with Sales, Customer Success, Solution Engineering and other key partners.
  • Results-oriented, strategic thinker with deep quantitative analysis and financial modeling skills
  • Strong understanding of how Marketing, Product, and Support functions operate at enterprise companies specifically regarding omnichannel orchestration, customer lifecycle messaging, and the integration of real-time signals into automated engagement workflows.

Nice to have

  • Experience leading SaaS, B2B or other customer/client engagements
  • Experience in technology, Enterprise Software, customer engagement channels ( messaging, SMS/RCS, contact centers, voice, email) , or martech related software
  • Bachelor's Degree in a financial discipline, or equivalent work experience

What the JD emphasized

  • Proficiency in prompt engineering and generative AI tools to accelerate the Value Engineering lifecycle; specifically using AI tools to synthesize discovery notes, automate the creation of customer-facing materials, and audit ROI formulas for logic, consistency, and scale.