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Vice President, Forward Deployed Engineering - TMT

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Salesforce
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 286720 - 383460 USD Yearly USD 286720.00 383460.00 YEAR
Job Description & How to Apply Below

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 represent Agentforce Platform's AI vision at the executive level with customers and partners.
  • Talent Development:
    Attract, retain, coach, and scale top talent across leadership levels and technical disciplines.
  • Enterprise Architecture Depth:
    Deep expertise in enterprise data architecture, security, and integrations to guide complex technical strategy and hold teams accountable to architectural standards.
  • Technical Fluency:
    Working proficiency in one or more programming languages (Python, JavaScript, Apex, or Java); able to engage credibly with engineers and architects without relying on intermediaries.
  • Strategic Problem‑Solving:
    Proven ability to diagnose systemic failure patterns — whether product, configuration, or data — and translate ambiguous field signals into structured, actionable insights.
  • Executive Presence:
    Engage CIOs, CTOs, CDOs, and COOs with credibility, clarity, and confidence. Exceptional written and verbal communication skills; able to distill complex technical findings into crisp narratives that resonate with C‑suite customers and internal leadership without requiring follow‑up.
  • O…
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