Founding Business Development Representative US Hybrid Sales

Founding Business Development Representative - (US) - Full-time | Hybrid Sales | US

Position Overview

Job Title: Founding Business Development Representative (BDR)

Location: Hybrid (Preferred Locations Austin, Tx, Burlington, MA, Nashville, TN)

Reports To: General Manager, North America

Department: Sales

Type: Full-time

About the Role

The software intelligence provided by CAST delivers the precise application maps, insights, and deterministic context that the people and agents of the world's largest organizations need to modernize, secure, and transform  customers include hundreds of Fortune 500 enterprises, clustered in banking and financial services, alongside key government agencies that rely on CAST to identify, prioritize, and accelerate work across their application estates.

By feeding full application structure and dependencies from CAST into their AI agents, these organizations execute priorities they have told us would not be possible without CAST.

The campaigns you will run

Your prospecting will center on the four AI + CAST use cases we crystallized and launched. You do not need to be a technical expert on day one, but you will learn the problem statement and then land in the use case that fits the account.

The frame: the CIO cannot act on what they cannot see. Every enterprise is being told to put AI to work across a portfolio of hundreds or thousands of applications, most of them brownfield, poorly documented, and understood by fewer people every year. The CIO is accountable for AI readiness, migration decisions, and risk to the board, but is steering on opinion and tribal knowledge instead of fact, and AI only raises the stakes: pointed at code nobody fully understands, it is confidently almost-right, and it drives up architectural debt faster than it clears code-level issues.

The through-line for every conversation is that AI alone is almost-right on brownfield code, and deterministic context is what makes it right, so the question is never whether to use AI, but which problems to take command of first and how to do it with facts. That is what the four use cases below answer.
Hook: "You cannot put AI or the board's questions to rest on applications you cannot see. Let us take command of the portfolio with facts."

• Application management. Enterprise teams, many of them heavily outsourced, lose weeks to application discovery, impact analysis, onboarding, and testing on systems nobody fully documents, and every AI initiative inherits that blindness. CAST gives them an always-current, deterministic map of how each application works, so developers onboard fast, changes are scoped with confidence, and AI agents work from real context instead of guesswork.
  
  Expect a 15 percent or greater productivity uplift across onboarding, issue identification, impact analysis, testing, and remediation, plus a 50 percent or greater reduction in token usage.
  Buyers:
  Application and product owners, heads of development, delivery, and engineering, and enterprise architects.
  Hook: "Give every team, and every AI agent, an always-current map of how your applications actually work."
• Tech debt and risk reduction. AI code assistants are resolving code-level issues while quietly driving up architectural debt, which is why Gartner expects 80 percent of tech debt to be architectural by 2027 and named CAST a Leader in tech debt management, number one on completeness of vision. CAST identifies and prioritizes tech debt at three levels, remediates architectural weaknesses, surfaces open-source vulnerabilities, and does it inside the developer workflow, all held to the ISO-5055 standard.
  
  Our pilots show more than 30 points of uplift in detecting and remediating debt at scale.
  Buyers: CIOs, CTOs, enterprise architects, AI leads, and heads of development.
  Hook: "Fix the architectural debt AI is creating, at a cost that used to be prohibitive."
• Migration and modernization. Two motions live here: migrating or modernizing large numbers of applications across the portfolio (cloud moves and data-center exits), and modernizing deep, high-complexity systems like mainframe and core banking. With AWS and Azure both reporting record migration demand and 85 percent of IT spend still on-premises, this is a widening market, and CAST is the ground truth that turns legacy estates into evidence-based rehost, replatform, and refactor decisions and feeds AI agents the context to execute.
  
  We target a 2x business benefit, 2 to 3 times faster total project time, and roughly 40…