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VP - Global tools and AI Orchestration

Salesforce - India - Bangalore

Posted Jun 5, 2026

Benefits

Parental leave
26 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
12 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Director Plus From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

VP - Global tools and AI Orchestration India - Bangalore Global Tools & AI Orchestration Role Description Salesforce Professional Services is building a centralized CoE to standardize how deals are scoped, estimated, and delivered globally. This role is responsible for building the tools and AI agents that make this possible. You will design, build, and scale a set of internal tools (AI agents + workflows) that help field team: Scope faster Estimate more accurately Reduce risk Follow global standards automatically You are not just defining ideas-you are building working systems that the field uses daily. What You Will Do (Core Responsibilities) 1. Build and Own the Agent Ecosystem Design and build a set of AI agents (scoping, estimation, risk, etc.) Ensure they work together as a single system Continuously improve based on real deal and delivery data 2. Design End-to-End Workflows Define how agents interact across the lifecycle: Intake → Scope → Estimate → Review → Approve Ensure smooth hand-offs between agents and humans Reduce manual steps and rework 3. Turn Business Logic into Automation Convert scoping rules, estimation models, and governance policies into working tools Ensure outputs are: Consistent Accurate Easy to use by the field 4. Build Data & Feedback Loops Connect delivery data into centralized data source (e.g. Data Cloud) Track: Estimate vs actual Margin vs plan Use this data to improve agents over time 5. Automate Governance Build tools that automatically: Check estimates against standards Flag risks early Enforce approval rules 6. Work Closely with Field

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