Strategic Builder
Hybrid (Bangalore), Hybrid (Mumbai), Hybrid (Gurgaon)Full timePosted 1w ago
About the role
Salesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You’ll work as part of a delivery team translating complex business challenges into agentic AI deployments that go live and generate real value.
Responsibilities
- Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle — Identify → Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure
- AI Strategy & Architecture: Define the customer’s Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start
- Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks
- Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
- Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones
- AI-Supported Development: You’ll be developing real customer solutions supported by leading-edge AI tools: Including Cursor, Claude, and our coding products like Vibes, to accelerate development
- Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail
- AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
- Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap
Qualifications
- 10-15 years of total experience with relevant 5 years into Data & AI in strategic solutioning, technical advisory, or delivery leadership or program management for enterprise cloud or SaaS technology
- Degree in Computer Science or a related field
- Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - required
- Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
- Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
- Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes
- Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
- Strong project and program management skills — able to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
- Ability to travel 25% of the time to customer sites
Skills
Required:AI strategy & architectureEnd-to-end delivery leadershipStakeholder managementProgramming languagesAI/LLM solution design
Nice to have:Change management / adoption
Last updated Oct 25, 2026. Interested? Apply on the company site.
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