Salesforce
Portfolio Leader (Manager/Director Levels)
$155K–$329K
California - San Francisco +27 · Office - Flexible · Director · Full-time · Posted Sep 30, 2026
- Location
- California - San Francisco
Florida - Remote
Massachusetts - Remote
North Carolina - Remote
California - Remote
Washington - Bellevue
New Jersey - New York City Metro - Remote
Colorado - Remote
Maryland - Washington DC Metro - Remote
New York - New York City Metro - Remote
New York - Remote
Colorado - Denver
Texas - Remote
Georgia - Atlanta
Georgia - Atlanta Metro - Remote
Ohio - Remote
Massachusetts - Boston
Illinois - Chicago
Illinois - Remote
New Jersey - Remote
Connecticut - New York City Metro - Remote
New York - New York
Virginia - Washington DC Metro - Remote
Minnesota - Remote
Washington - Seattle
Texas - Dallas
Washington - Remote
Virginia - Mclean - Experience
- 4+ years of direct people management or high-impact technical leadership; no alternatives stated.
About the job
Leads technical and strategic AI specialists building, deploying, and scaling Agentforce solutions for enterprise customers, while setting engineering standards and influencing product development.
What you'll do
- Recruit, mentor, staff, and coordinate cross-functional delivery teams; monitor delivery metrics and resolve escalations.
- Provide technical direction for enterprise implementations, including data readiness, integrations, and agent orchestration.
- Build executive customer relationships and partner with Services, Account Success, and Product to drive Agentforce adoption and production outcomes.
What they ask for
- 4+ years of direct people management or high-impact technical leadership of cross-functional engineering or technical teams.
- Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem, with hands-on enterprise implementation, data modeling, API integration, and AI deployment experience.
- Direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform.
- Experience with global, high-touch customer strategies and executive-level communication and influence.
Nice to have
- Experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails.
- Familiarity with Snowflake, Databricks, BigQuery, enterprise data pipelines, or relevant Salesforce certifications.
Pay
$155,190 - $299,390 USD annually (base salary); $170,660 - $329,210 USD per year (base pay)
Tools
Agentforce, Salesforce Data Cloud, LLMs, Cursor, Claude, Vibes, Snowflake, Databricks
AI focus
Leads deployment and scaling of Agentforce solutions, including AI agents, multi-agent orchestration, and production AI; partners on product pilots and beta rollouts. The posting also states Salesforce uses AI tools to help assess candidates’ resumes and qualifications, with humans making hiring decisions.
Model-written summary · the original posting is authoritative