Portfolio Leader (Manager/Director Levels)

About the role

Production leadership required. Builder mindset non-negotiable. Salesforce is hiring a Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands-on leadership role for someone who can drive engineering excellence while operating at the executive level.

This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders - who design, build, and deploy AI Agents directly in customer environments) and Deployment Strategists (Strategic Builders - customer-facing advisors who shape AI strategy, define use cases, and drive adoption).

Together, these teams work alongside customers to co-build and deliver agentic AI solutions on a single large enterprise account or across multiple engagements simultaneously. You'll set the engineering standards, unblock complex customer deployments, and scale the talent that's shipping production AI today.

Responsibilities

• Own the capacity planning, talent acquisition, and staffing that ensures your cross-functional squads have the horsepower to deploy Agentforce at enterprise scale.
• Foster an inclusive, high-energy, and psychologically safe engineering culture where builders iterate fast and continuously level up.
• Partner directly with the Product and Engineering organizations on pilot programs and beta rollouts, turning raw field insights from high-stakes deployments into features on the Agentforce core roadmap.

Requirements

• 4+ years of direct people management or high-impact technical leadership steering cross-functional engineering or technical teams.
• Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem. Hands-on experience with enterprise software implementation, data modeling, API integration, and AI deployments.
• Direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform.
• Strong background navigating high-touch customer strategies at a Global level, paired with exceptional executive-level communication and influence skills.
• Exceptional problem-solving instincts, extreme resourcefulness, and a "get-things-done" demeanor. Thrive at the technical helm where code is being actively shipped, not just talked about.

Qualifications

• Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails.
• Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines.
• Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist).

Skills

• Proven leadership: Direct people management or high-impact technical leadership steering cross-functional engineering or technical teams.
• Advanced technical depth: Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem.
• Enterprise customer focus: Strong background navigating high-touch customer strategies at a Global level.
• Ship-it mindset: Exceptional problem-solving instincts, extreme resourcefulness, and a "get-things-done" demeanor.

Benefits

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 $155,190 - $299,390 annually. 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 $170,660 - $329,210 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.