Drimva

Metropolis

Senior Product Manager, Applied AI

$170K–$200K

Seattle, Washington, United States +2 · Manager · Full-time · Posted Oct 27, 2026

Location
Seattle, Washington, United States
Los Angeles, California, United States
New York, New York, United States
Experience
6+ years in product management or technical product leadership; at least 2 years focused on shipping AI-powered applications, LLM implementations, or process automation systems.

About the job

Leads internal Applied AI strategy and delivery, turning operational challenges into AI-powered workflows, applications, and automation that improve business outcomes.

What you'll do

  • Prioritize the internal AI roadmap and translate business needs into engineering specifications and measurable success metrics.
  • Partner with business leaders and AI Engineers to design, deploy, and iterate on internal AI applications, RAG implementations, prompt pipelines, and agentic workflows.
  • Drive adoption and monitor reliability, usage, and business impact of deployed tools.

What they ask for

  • 6+ years of product management or technical product leadership experience, including at least 2 years focused on shipping AI-powered applications, LLM implementations, or process automation systems.
  • Track record of internal process transformation, operational optimization, or building tools for internal business stakeholders.
  • Practical understanding of LLMs, prompt systems, agentic patterns, and RAG architectures; hands-on fluency with AI tools, prompt engineering, AI coding agents, and rapid prototyping.
  • Working familiarity with data architectures, data pipelines, and cloud infrastructure, including SQL, Snowflake, and AWS.

Nice to have

  • Third-party vendor selection, evaluation, and integration for enterprise AI or software solutions.
  • Experience scaling internal productivity tools or AI agents within high-growth technology companies.

Pay

$170,000.00 USD to $200,000.00 USD annually (base salary)

Tools

LLMs, SQL, Snowflake, AWS, RAG

AI focus

Lead internal AI transformation by developing AI-powered applications, prompt pipelines, RAG implementations, agentic workflows, and automation systems.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)