Note: The job is a remote job and is open to candidates in USA. Salesforce is an AI CRM company developing Agentforce and other enterprise products. The Technical Product Manager will own the Agentforce Service Cloud adoption program across enterprise customers, tracking deployment velocity, resolving systemic blockers, maintaining the deployment playbook, and connecting field feedback to product action.
Responsibilities
- Run the program. Own the Agentforce adoption program for Service Cloud end-to-end — portfolio-level tracking, deployment velocity, blocker resolution, and go-live reporting across all lighthouse and scaled customers
- Set the operating rhythm. Operate a high-touch, daily cadence with product, FDE, CSM, and PS teams for the first 100 customers; transition to a lighter-touch weekly/bi-weekly model as the program matures past 100
- Close the feedback loop. Intake customer feedback from the field and close the loop with inbound product managers within a week. You are the fastest path from field signal to product action
- Unblock at scale. Identify what is blocking FDE, CSM, PS, and partner teams from running the deployment playbook — and fix it. Enable, enable, enable
- Own the playbook. Build and maintain the deployment playbook that the full Agentforce field ecosystem runs from. Own its accuracy and completeness
- Track adoption. Carry the adoption metric. Know the number. Know the gap. Know the path
- Communicate at every level. Summarise program status clearly for executive leadership and go deep with engineering when the problem demands it. You are comfortable in both rooms
- Bridge field and product. Work closely with Agentforce product leadership to ensure that field-validated product requirements reach the right inbound PM with enough signal to act on
Skills
- 8+ years technical program management, product operations, or equivalent in enterprise AI/SaaS
- Engineering background — can get into the architecture of a problem and have credible conversations with the engineers fixing it
- Deep personal familiarity with AI and agentic systems; has gone hands-on, not just observed. Experience with Python, JS/TypeScript, Java, or Apex; practical depth in LLMs, RAG, and agentic workflows
- Foundational Salesforce expertise: Agentforce, Apex, LWC, Flows, and core APIs
- Proven portfolio operator — can hold many customers in view, spot systemic blockers, move fast
- Can write a crisp exec summary and walk into a VP of Product conversation on the same day
- ~25% travel; present with customers and field teams
Benefits
- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Certain roles may be eligible for incentive compensation, equity, and benefits.
- Remote work arrangement
Company Overview
Company H1B Sponsorship