Vice President, Forward Deployed Engineering – TMT

Salesforce

Vice President leading Forward Deployed Engineering for AI at Salesforce. Building high-performing teams and driving customer success with AI strategies.

Posted 7/14/2026full-timeNew York City • Illinois, Massachusetts, New York, Texas, Washington • 🇺🇸 United StatesLead💰 $260,610 - $348,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading and scaling high-performing technical organizations, with a strong foundation in Computer Science and expertise in enterprise data architecture and AI/LLM-based solutions. Proven ability to engage C-level executives and drive cross-team alignment while fostering talent development and customer trust.

Highest-signal resume keywords

10+ Years In Enterprise Software5+ Years In Leading Technical OrganizationsAI/LLM-Based Solutions DeploymentEnterprise Data Architecture ExpertiseProgramming Proficiency In Python, JavaScript, Apex, Or Java

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise SoftwareSaaSAI/LLM SolutionsData ArchitectureSecurityIntegrationsProgramming LanguagesPerformance ManagementProduct TelemetryObservability Data

Soft Skills

LeadershipCoachingBuilding TrustEngaging ExecutivesTalent Development

Industry Keywords

Builder StrategyAdoption PlaybookCustomer EngagementGTM Deal CycleCross-Team Alignment

Tech Stack

Tools & technologies

JavaJavaScriptPython

About the role

Key responsibilities & impact

Lead the Agentic Builder Strategy and scale the Builder model for TMT.
Build the Path to First Agent Live and pilot on real data.
Drive speed without sacrificing customer trust or long-term scalability.
Own the Adoption & Consumption Motion, managing performance against targets.
Champion the Adoption Playbook across the GTM deal cycle.
Orchestrate alignment between various teams and lead executive customer engagements.
Recruit, develop, and retain exceptional Builders.
Drive AI-enabled workflows within the Builder organization.

Requirements

What you’ll need

10+ years in enterprise software or SaaS environments
Strong foundation in Computer Science, Engineering, or a related discipline
5+ years in leading and scaling high-performing technical organizations
Demonstrated track record deploying AI/LLM-based solutions at scale
Attract, retain, coach, and scale top talent across leadership levels and technical disciplines
Deep expertise in enterprise data architecture, security, and integrations
Working proficiency in one or more programming languages (Python, JavaScript, Apex, or Java)
Proven ability to diagnose systemic failure patterns
Engage C-level executives with credibility
Experience leveraging product telemetry, observability data, and field intelligence
Build trust across multiple teams.

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program