Drimva

Meta

Member of Product Staff

$205K–$277K

Menlo Park, CA +2 · Staff · Full-time · Posted Jun 11, 2026

Location
Menlo Park, CA
New York, NY
San Francisco, CA
Experience
10+ years in product management and/or Product Design; 10+ years working collaboratively with engineering, design, and user research teams.
Education
BA/BS in Computer Science or related field.

About the job

Leads product strategy and execution for Instagram products, using AI-enabled tools and experimentation to build products, improve workflows, and deliver measurable user and business impact.

What you'll do

  • Set product vision, strategy, and roadmaps; align stakeholders and guide teams through product development.
  • Lead execution with engineering, design, research, and cross-functional partners, using AI responsibly to improve team workflows and velocity.
  • Define product metrics and evaluations, analyze experiments and user insights, and use findings to guide product decisions.

What they ask for

  • 10+ years of experience working collaboratively with engineering, design, and user research teams; 10+ years in product management and/or Product Design.
  • Experience navigating the full product life cycle, integrating customer feedback into requirements, prioritizing, and leading pre- and post-launch execution.
  • BA/BS in Computer Science or related field.
  • Demonstrated proficiency using AI-enabled tools to build product artifacts at scale and experience developing and championing AI-native strategies across organizations.

Nice to have

  • Experience building AI-driven products from inception, platform/ecosystem products, or marketplaces.
  • Experience scaling AI best practices and responsibly integrating AI tools to redesign workflows and achieve measurable impact.

Pay

$205,000/year to $277,000/year (base salary)

Tools

AI-enabled tools, AB testing, prompt/context engineering, agent orchestration

AI focus

Build AI-driven products and artifacts; develop AI-native product strategies, evaluations, and data strategies; use AI to improve workflows and execution; and apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)