More jobs:
Vice President, Forward Deployed Engineering - TMT
Job in
Washington, Tazewell County, Illinois, 61571, USA
Listed on 2026-07-17
Listing for:
Salesforce, Inc.
Full Time
position Listed on 2026-07-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Office Tech-Flexible locations:
New York
- New York:
Illinois
- Chicago:
Massachusetts
- Boston:
Washington
- Seattle:
Texas
- Dallas time type:
Full time posted on:
Posted Todayjob requisition :
JR351085
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Sales Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
** About the Role
** As VP of Forward Deployed Engineering for the Tech, Media and Telecommunications (TMT) Operating Unit, you will lead one of the most critical execution motions in our Agentforce growth — moving customers from curiosity to consumption. This is a foundational role: you will build and lead a high-performing team of Builders, define the operating model, and write the playbook that turns AI strategy and pre-sales prototypes into production agents, measurable usage, and expansion opportunities.
You will sit at the intersection of technical credibility, customer partnership, and commercial accountability — designing a scalable growth model while collaborating closely with Sales, Solutions, Success, Product, Professional Services, and Partners.
** Key Responsibilities
*** Lead the Agentic Builder Strategy:
Define, operationalize, and scale the Builder model for TMT — establishing role clarity, engagement models, coverage expectations, and success measures across segments and use case complexity.
* Build the Path to First Agent Live:
Scale repeatable plays that lock the outcome, pilot on real data, build and test production agents, and go live with observability in place. Drive speed without sacrificing customer trust or long-term scalability.
* Own the Adoption & Consumption Motion:
Drive the full consumption lifecycle from agent provisioned to scaled adoption. Track progress with consumption scorecards and manage performance against targets.
* Scale the Adoption Playbook:
Champion and ope rationalise the Adoption Playbook as the standard execution guide across the GTM deal cycle — whether prospecting, re-engaging a stalled customer, or onboarding a new one. Ensure activation is a continuation of the sales motion, not a handoff.
* Orchestrate Across the Customer Lifecycle:
Create tight alignment between Sales, AEs, Consumption Sellers, Success, Builders, Partners, and Professional Services. Lead executive customer engagements — workshops, QBRs, innovation sessions, and escalations — helping customers move from AI experimentation to operating model transformation.
* Build and Develop a High-Performing Team:
Recruit, develop, and retain exceptional Builders. Build future leaders, foster a culture of ownership and speed, and establish the operational rigour — dashboards, cadences, success plans — needed to track go-lives, adoption, blockers, and expansion health.
* Modernise How We Work with AI:
Drive AI-enabled workflows across the Builder organisation — from account planning and use case design through prototyping, testing, and executive storytelling. Champion tools like Cursor, Claude, and Agentforce to raise the bar on how the team operates.
** Required Qualifications
*** Proven Leadership: 10+ years in enterprise software or SaaS environments, with a strong foundation in Computer Science, Engineering, or a related discipline — including 5+ years in leading and scaling high-performing technical organizations
* AI/Agentic Platform Authority:
Demonstrated track record deploying AI/LLM-based solutions at scale with the credibility to…
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