Product Management Intern

Heyaristotle

San Francisco (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Job summary

Heyaristotle in San Francisco is seeking a Product Manager to own critical product challenges from research through launch. You will manage a 0→1 product slice, establish metrics, and work closely with engineers and cross-functional teams.

The ideal candidate will have experience in product management and data analysis, along with a strong ability to translate AI concepts for diverse audiences. This role involves rapid iterations and observation of student outcomes to enhance product effectiveness.

Qualifications

  • Prior experience in product management, research, or navigating ambiguity.
  • Strong ability to convey complex ideas in simple terms.
  • Capability to work with cross-functional teams effectively.

Responsibilities

  • Own a critical 0→1 product slice from research to rollout.
  • Gather qualitative insights and establish meaningful metrics.
  • Create specifications and coordinate with teams.
  • Iterate rapidly during pilot programs and analyze outcomes.

Skills

Product management experience
Data analysis skills
AI system explanation
Experimental mindset

Tools

SQL
Analytics platforms
Analytical spreadsheets

Job description

Own a critical 0→1 product problem from research through launch.

The Role

Own a critical 0→1 product problem: build the student research loop, define success metrics, write specs, and sit with engineers to iterate every few days.

What you’ll do
  • Own a 0→1 product slice from research to rollout.
  • Observe student sessions, gather qualitative insights, and establish meaningful learning success metrics.
  • Create product specifications and requirements documents while coordinating cross‑functional teams.
  • Iterate rapidly during pilot programs and communicate findings on student outcomes.
What we’re looking for
  • Prior experience in product management, founding, research, or building through ambiguity.
  • Proficiency with data analysis tools including SQL, analytics platforms, or analytical spreadsheets.
  • Ability to explain AI system behavior in accessible language for diverse stakeholders.
  • Strong experimental mindset paired with decisive action orientation.
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