Director, AI Quality & Evaluation Product

Salesforce, Inc.; Seattle (WA); On-site; USD 218,000 - 365,000; Full time

Job summary

Salesforce, Inc. is seeking a technical product leader to shape the next generation of Agentforce AI capabilities. You will own product strategy for AI quality and evaluation, work with AI researchers, applied scientists, and engineers, and lead a customer-focused quality workstream from early learning through delivery.

This is an IC leadership role with potential people-management growth. You will collaborate across research, engineering, and product to establish standards, drive tradeoffs, and

Qualifications

• Experience building AI/ML products with measurable customer outcomes.
• Hands-on experience building AI agents and evaluation capabilities with researchers/engineers.
• Strong judgment on model behavior, prompting, retrieval, and tradesoffs among model/data/system/product improvements.
• Ability to inspect data, prototype with coding agents, and reason about experiments.
• Clear communication with customers, technical teams, and senior leaders.
• Experience coaching colleagues without direct authority.

Responsibilities

• Set a coherent product strategy and roadmap for AI quality and evaluation.
• Define shared quality definitions, evaluation requirements, and release criteria.
• Lead customer investigations and experiments to test changes and validate impact.
• Build an operating approach connecting feedback, evaluation, releases, and learning.
• Collaborate with researchers, applied scientists, and engineers on credible evaluations.
• Lead delivery of capabilities that improve customer understanding of AI performance.
• Coach teammates in problem framing, experimentation, and delivery.

Skills

AI/ML product leadership

AI agents

data inspection & tracing

coding agents prototyping

customer collaboration

mentoring teammates

Job description

Salesforce, Inc. is seeking a technical product leader to shape the next generation of Agentforce AI capabilities. You will own product strategy for AI quality and evaluation, work with AI researchers, applied scientists, and engineers, and lead a customer-focused quality workstream from early learning through delivery.

This is an IC leadership role with potential people-management growth. You will collaborate across research, engineering, and product to establish standards, drive tradeoffs, and