Director of Product Management (Agentic Optimization)

Join our team as the Director of Product Management for Agentic Optimization. In this role, you will own agentic analytics for Agentforce, utilizing AI to analyze enterprise agent behavior, identify failures at scale, and provide actionable recommendations for improvement. You will be responsible for the product roadmap, user experience, go-to-market strategy, and pilot programs. This is an individual contributor role for a builder who is passionate about agent optimization and has experience with coding agents.

• Own the roadmap, user experience, go-to-market strategy, and design partner programs for agentic analytics.
• Set the strategy to transition the product from pilot with a handful of customers to a differentiated GA offering.
• Lead the customer program, design partner program, and pilot calls, extracting requirements and turning customer pain into shipped product.
• Product management experience, with a track record of shipping products for technical users (developers, admins, or technical SMEs). Director-level candidates should show a clear pattern of scope and impact beyond that
• Applied depth in evaluation and agent quality. You've worked on evaluation frameworks, annotation flows, failure clustering, or the equivalent — and you can reason about how to measure whether an agent is actually getting better
• Customer empathy at scale. You lead with the customer problem — not the feature request. You can synthesize signal across a design partner cohort, distill it into crisp product requirements, and communicate tradeoffs clearly to engineers, execs, and the field
• Strong written and verbal communication. You can turn ambiguity into direction, rally a team around it, and hold your own with customers and execs
• Comfortable with ambiguity, biased for action. You turn fuzzy problems into sharp bets with measurable outcomes. You'd rather ship a rough thing and iterate than debate a perfect one
• Cross-functional operator. You work well across engineering, design, and adjacent product teams. You know when to lead, when to follow, and when to escalate
• Coding-agent fluency. You are a daily user of coding agents. You've built and shipped agents yourself. You can talk substantively about LLM orchestration, tool use, evals, and what makes an agent actually work in production
• Engineering background, or the equivalent hands-on depth — comfortable reading code, reviewing APIs, prototyping in a notebook, and partnering with engineers on real trade-offs
• Experience with customer-facing pilot or design-partner programs for early-stage AI products
• Direct experience with the current agent-building and eval landscape (Cursor, Claude Code, Replit, LangSmith, Braintrust, Langfuse, agent frameworks) and strong opinions on what they get right and wrong
• Design sense: can turn messy systems into clean primitives with opinionated defaults
• Experience operating with autonomy in a highly cross-functional environment, including executive, technical, and go-to-market stakeholders