Salesforce

1 month ago

Senior Director - Global tools and AI Orchestration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design, build, and scaling of an internal tools and AI agent ecosystem for Salesforce Global Tools & AI Orchestration. Architect end-to-end workflows, convert business logic into automation, and drive data feedback loops and governance to improve scoping, estimating, and delivery across global teams.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build and Own the Agent Ecosystem: Design and build a set of AI agents (scoping, estimation, risk, etc.) and ensure they work together as a single system; continuously improve based on real deal and delivery data
•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
•Turn Business Logic into Automation: Convert scoping rules, estimation models, and governance policies into working tools; ensure outputs are consistent, accurate, and easy to use by the field
•Build Data & Feedback Loops: Connect delivery data into centralized data source (e.g. Data Cloud); track estimate vs actual and margin vs plan; use data to improve agents over time
•Automate Governance: Build tools that automatically check estimates against standards, flag risks early, and enforce approval rules
•Work Closely with Field and GDC Teams: Partner with consultants and offshore/GDC teams to build and scale solutions; ensure tools are practical and adopted globally
•Partner with Salesforce Product & Engineering: Use latest platform capabilities (e.g. Agentforce, Data Cloud); provide feedback to improve platform features; ensure tools stay aligned with product roadmap

Key Requirements

•12–15 years in technical architecture, engineering, or consulting
•Hands-on experience building or working with AI/agent-based systems
•Experience with data platforms and integration architectures
•Strong understanding of Salesforce platform (multi-cloud)
•Ability to lead technical teams and still stay hands-on

Experience:12-15 yearsAICRMEnterprise software

Skills:AutomationWorkflow designCommunication

Tech Stack:AI agentsData CloudSalesforceMulti-cloudAutomationWorkflows

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

1 month ago

Senior Director - Global tools and AI Orchestration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build and Own the Agent Ecosystem: Design and build a set of AI agents (scoping, estimation, risk, etc.) and ensure they work together as a single system; continuously improve based on real deal and delivery data
•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
•Turn Business Logic into Automation: Convert scoping rules, estimation models, and governance policies into working tools; ensure outputs are consistent, accurate, and easy to use by the field
•Build Data & Feedback Loops: Connect delivery data into centralized data source (e.g. Data Cloud); track estimate vs actual and margin vs plan; use data to improve agents over time
•Automate Governance: Build tools that automatically check estimates against standards, flag risks early, and enforce approval rules
•Work Closely with Field and GDC Teams: Partner with consultants and offshore/GDC teams to build and scale solutions; ensure tools are practical and adopted globally
•Partner with Salesforce Product & Engineering: Use latest platform capabilities (e.g. Agentforce, Data Cloud); provide feedback to improve platform features; ensure tools stay aligned with product roadmap

Key Requirements

•12–15 years in technical architecture, engineering, or consulting
•Hands-on experience building or working with AI/agent-based systems
•Experience with data platforms and integration architectures
•Strong understanding of Salesforce platform (multi-cloud)
•Ability to lead technical teams and still stay hands-on

Experience:12-15 yearsAICRMEnterprise software

Skills:AutomationWorkflow designCommunication

Tech Stack:AI agentsData CloudSalesforceMulti-cloudAutomationWorkflows

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor