Vice President, Forward Deployed Engineering - TMT
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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 operationalise 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 Operational Intelligence Mindset: Experience leveraging product telemetry, observability data, and field intelligence to identify platform patterns, surface product gaps, and inform product prioritization and adoption strategy at an organizational level Cross-Functional Influence: Build trust across Sales, Solutions, Product, Engineering, Success, and Partners Consumption & Value Orientation: Fluency with consumption models, consumption dashboards, and data-driven inspection; move beyond bookings to durable customer value High Agency & Organizational Agility: Track record of building and leading teams that thrive in ambiguous, high-stakes environments — instilling a culture of experimentation, fast iteration, and continuous learning across the organization Willingness to Travel: Ability to travel 25% to customer sites and company engagements.
Preferred Qualifications Deep fluency across the applied AI concepts and technologies with preference to the Agentforce platform — with the ability to engage credibly on platform architecture, cross-cloud integration patterns, and deployment strategy at both the customer and executive level Prior leadership experience in a forward deployed engineering, solutions engineering, or technical advisory organization — with direct accountability for field outcomes and customer technical success deploying agentic AI solutions at scale.
Familiarity with Salesforce CRM, Agentforce platform, and Data 360; fluency with adjacent enterprise platforms a strong plus Proven ability to build thought leadership presence — through content, community engagement, or executive influence — that elevates both team credibility and Agentforce platform adoption Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life.
Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
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Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
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At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $260,610 - $348,600 annually

There is a different range applicable to specific work locations.
In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $286,720 - $383,460 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.