Technical Product Leader - AI Quality and Evaluation

We are looking for a technical product leader with deep AI expertise to help build the next generation of Agentforce, combining the pace and ownership of a startup with access to enterprise customers and Salesforce's distribution.

Core Responsibilities & Scope

• Set a coherent product strategy and roadmap for AI quality and evaluation, connecting customer needs, technical opportunities, and measurable business outcomes.
• Establish shared quality definitions, evaluation requirements, coverage priorities, and release criteria with research, engineering, and product partners.
• Make explicit investment tradeoffs across customer quality improvements, evaluation capabilities, and product features; align teams on priorities and decision ownership.
• Personally lead customer investigations and experiments.
• Build an operating approach that connects customer feedback, evaluation evidence, experiments, releases, and learning across teams.
• Partner with researchers, applied scientists, and engineers to design credible evaluations.
• Lead delivery of capabilities that help customers understand and improve AI performance.
• Coach product partners, junior designers, and technical program managers in problem framing, experimentation, and delivery; raise the quality of decisions through mentorship and practical example.
• Bring verified competitive insight into strategy and communicate differentiation, limitations, and investment choices clearly to customers and senior stakeholders.

Minimum Requirements

• A record of building AI/ML products and delivering measurable customer outcomes, with increasing ownership, scope, and impact.
• Deep hands-on experience building AI agents and evaluation capabilities in close partnership with AI researchers, applied scientists, or AI engineers.
• Strong applied AI/ML judgment across model behavior, prompting, retrieval, agent/tool workflows, and the tradeoffs among model, data, system, and product improvements.
• Current hands-on ability to inspect data and traces, prototype with coding agents, and reason about experiments, overfitting, training/test splits, edge cases, and uncertainty.
• Principled, flexible thinking: frame the underlying customer problem, test assumptions, and change direction when evidence warrants it.
• Experience establishing shared standards and resolving cross-team disagreements while preserving clear accountability and delivery momentum.
• Evidence of coaching and mentoring colleagues without relying on reporting authority, and the ability to deliver independently in a fast-moving environment.
• Clear communication with customers, technical teams, and senior leaders, including an honest account of what is known, uncertain, or still unproven.

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program