Vice President, Forward Deployed Engineering - TMT

Posted 3 Days Ago
Be an Early Applicant
10 Locations
In-Office
261K-383K Annually
Expert/Leader
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
Lead and scale a forward-deployed engineering organization to turn AI/LLM prototypes into production agents, drive customer adoption and consumption, align cross-functional teams, build the operating model and playbook, and recruit and develop high-performing technical teams to deliver measurable business value.
Summary Generated by Built In

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.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. 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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

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.

Skills Required

  • 10+ years in enterprise software or SaaS with a strong foundation in Computer Science, Engineering, or related discipline, including 5+ years leading and scaling technical organizations
  • Demonstrated track record deploying AI/LLM-based solutions at scale and representing platform AI vision with customers and partners
  • Attract, retain, coach, and scale top talent across leadership levels and technical disciplines
  • Deep expertise in enterprise data architecture, security, and integrations to guide complex technical strategy
  • Working proficiency in one or more programming languages (Python, JavaScript, Apex, or Java)
  • Ability to diagnose systemic failure patterns and translate ambiguous field signals into structured, actionable insights
  • Executive presence to engage CIOs, CTOs, CDOs, and COOs with exceptional written and verbal communication
  • Experience leveraging product telemetry, observability data, and field intelligence to inform product prioritization and adoption strategy
  • Proven ability to build cross-functional trust and influence across Sales, Solutions, Product, Engineering, Success, and Partners
  • Fluency with consumption models, consumption dashboards, and data-driven inspection to drive adoption and durable customer value
  • Track record building teams that thrive in ambiguous, high-stakes environments; culture of experimentation and fast iteration
  • Willingness and ability to travel approximately 25% to customer sites and company engagements
  • Deep fluency across applied AI concepts and Agentforce platform (preferred)
  • Prior leadership experience in forward deployed engineering, solutions engineering, or technical advisory organizations (preferred)
  • Familiarity with Salesforce CRM, Agentforce platform, and Data 360 (preferred)
  • Proven ability to build thought leadership presence through content, community engagement, or executive influence (preferred)

Salesforce Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.

  • Fair & Transparent Compensation Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
  • Parental & Family Support Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
  • Wellbeing & Lifestyle Benefits Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.

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The Company
HQ: San Francisco, CA
72,000 Employees

What We Do

Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.

Why Work With Us

There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.

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