Associate Product Manager (starting Summer 2027)

Salesforce Salesforce · Enterprise · San Francisco, CA

Associate Product Manager role focused on shaping the AI-driven future of technology at Salesforce, specifically within the AI CRM platform. The role involves prototyping, testing, and iterating on agentic features, understanding user needs for autonomous agents, defining success criteria for agentic behaviors, analyzing market trends, and partnering with engineering and design to build and launch AI products. The program is a 2-year rotational experience for new graduates.

What you'd actually do

  1. Embed within a small AI pods to rapidly prototype, test, and iterate on agentic features — moving from customer problem to working solution in tight cycles
  2. Understand and analyze user needs to define how autonomous agents can solve complex, multi-step business problems — including edge cases, failure modes, and trust boundaries
  3. Define success criteria and evaluation frameworks for agentic behaviors, including agent telemetry, grounding quality, and escalation paths
  4. Analyze market trends, competitor frameworks, qualitative customer research and quantitative product usage and agent performance signals to drive fast, informed iteration
  5. Help define a product strategy that moves beyond static features toward autonomous, context-aware collaborators.

Skills

Required

  • Bachelor's or Master's Engineering, Computer Science, or a related field.
  • Previous industry internship in product management or closely related technical role
  • AI Literacy: A deep interest in (or experience with) LLMs, autonomous agents, and data architecture.
  • Ability to deliver on commitments and thrive under the pressure of rapid AI release cycles.
  • Excellent analytical, problem-solving, organizational, presentation, interpersonal, written and verbal communication skills.
  • Ability to manage multiple projects simultaneously and adapt to shifting technology landscapes.

Nice to have

  • Proven ability to deliver on commitments in high-growth environments
  • Demonstrated ability to collaborate in small, fast-moving teams and drive decisions with incomplete information
  • Comfort working in rapid iteration cycles — prototyping, testing with users, and adjusting quickly based on signal
  • Excellent analytical, problem-solving, organizational, presentation, interpersonal, written and verbal communication skills.
  • Familiarity with agent orchestration concepts (e.g., tool use, MCP, A2A, Skills, Agent Harnesses, memory, multi-agent coordination)

What the JD emphasized

  • AI Literacy: A deep interest in (or experience with) LLMs, autonomous agents, and data architecture.
  • Ability to deliver on commitments and thrive under the pressure of rapid AI release cycles.
  • Comfort working in rapid iteration cycles — prototyping, testing with users, and adjusting quickly based on signal

Other signals

  • AI CRM
  • agentic era
  • AI + Data + CRM platform
  • B2B AI focus
  • AI-driven future
  • AI product manager
  • autonomous agents
  • agentic behaviors
  • autonomous, context-aware collaborators
  • humans and AI agents work together
  • LLMs
  • autonomous agents
  • agent orchestration