Drimva

ShopMy

Agent Manager

$150K–$225K

USA-Remote +1 · Remote · Manager · Full-time · Posted Jul 9, 2026

Location
USA-Remote
United States
Experience
3+ years in product management, or a closely related role where you owned a product, workflow, or service against real customer needs.
Education
Bachelor's degree or equivalent practical experience.
Visa sponsorship
ShopMy participates in E-Verify and will provide the federal government with your Form I-9 information to confirm work authorization upon hire.

About the job

Owns the customer needs, behavior, quality, and improvement of ShopMy’s AI agents for internal teams and external clients, while helping shape the agent orchestration system.

What you'll do

  • Understand customer workflows and prioritize where agents can have the greatest impact.
  • Set agent requirements, prompts, documents, delegation, evaluation, and boundaries; use evidence from real runs to improve quality.
  • Partner with customers, product, and engineering to address agent and orchestration gaps.

What they ask for

  • 3+ years in product management or a closely related role owning a product, workflow, or service against real customer needs.
  • Strong business judgment and ability to understand processes, customer needs, and impact.
  • Evidence-driven analytical mindset with attention to detail.
  • Technical fluency to prototype and evaluate agents and work deeply with engineers; ability to operate independently amid ambiguity.

Nice to have

  • Hands-on experience building, prompting, or evaluating LLM agents; familiarity with eval frameworks or LLM-as-judge systems.
  • Experience in high-growth startups, consulting, strategic business operations, creator economy, influencer or affiliate marketing, e-commerce, or working with brands or creators.

Pay

$150,000 — $225,000 USD base salary

Tools

LLMs, LLM agents, eval frameworks, LLM-as-judge systems

AI focus

Own and improve AI agents: define their scope and behavior, prompts, delegation, evaluations, and boundaries; use real-run evidence to improve reliability and help shape agent orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)