Drimva

Salesforce

Director of Product Management, Agent-Native Web Experiences

$197K–$345K

California - San Francisco +1 · Office Tech-Flexible · Director · Full-time · Posted Sep 23, 2026

Location
California - San Francisco
Washington - Seattle
Experience
5+ years of product management experience shipping products for technical users.
Education
Bachelor's degree in a technical, business, or analytical discipline preferred; engineering background or equivalent hands-on depth preferred.

About the job

Leads the strategy, roadmap, and delivery of AI-native websites, using agents and customer pilots to turn web experiences into intelligent, measurable products.

What you'll do

  • Own product strategy, roadmap, user experience, and success metrics for brand and role-based websites.
  • Prototype and evaluate agent-enabled experiences, working closely with engineering and design and using real customer data.
  • Lead design-partner pilots, convert customer feedback into requirements, and coordinate product work across the portfolio.

What they ask for

  • 5+ years shipping products for technical users, with demonstrated scope and impact in an enterprise or startup.
  • Daily use of coding agents and substantive knowledge of LLM orchestration, tool use, and evaluation frameworks.
  • Ability to prototype early, work through ambiguity, and deliver measurable product outcomes.
  • Strong communication and cross-functional leadership, with ability to synthesize customer-cohort feedback into product requirements.

Nice to have

  • Bachelor's degree in a technical, business, or analytical discipline; engineering background or equivalent hands-on depth.
  • Experience with agent-building and evaluation tools, websites, design-partner programs, 0-to-1 teams, or CRM and Marketing Technology ecosystems.

Pay

$197,300 - $313,700 annually (base salary); $237,700 - $344,700 annually (base salary)

Tools

Claude Code, Cursor, Codex, Replit, LangSmith, Braintrust, Langfuse, Contentful

AI focus

Build and evaluate agentic web experiences, including prototyping with coding agents and applying LLM orchestration, tool use, evaluation harnesses, annotation flows, failure clustering, and feedback loops.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)