Associate PM: AI Platform & Data Innovation

Trepp, Inc.

New York (NY)

Hybrid

USD 120,000 - 144,000

Full time

45 hours ago
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Benefits offered by this job

401K with employer match
Life insurance
PTO
Parental leave

Job summary

Trepp, Inc. is seeking a Product Manager to shape AI-powered product initiatives from discovery through release and post-launch evaluation.

You’ll translate business needs into precise requirements and collaborate with engineering, data science, QA, and client-facing teams to drive impactful outcomes. The role emphasizes curiosity about AI, strong analytical skills, and comfort with SQL, databases, data pipelines, and APIs.

Qualifications

  • 2–3 years of experience in product management, business analysis, data, software development, or related field.
  • Bachelor’s degree or equivalent practical experience.
  • Translate business needs into clear requirements and documentation.
  • Curiosity about AI, ML, or generative AI concepts.
  • Strong analytical skills and familiarity with SQL; comfortable with databases and data pipelines.

Responsibilities

  • Own initiatives across full product lifecycle from discovery to post-launch evaluation.
  • Translate needs into product requirements, user stories, acceptance criteria, and technical docs for engineering.
  • Collaborate with engineering, data science, QA, operations, and client-facing teams to keep initiatives moving.
  • Define AI quality metrics and evaluate output, relevance, latency, and security.
  • Work hands-on with SQL, databases, data pipelines, and APIs to improve data movement.

Skills

Product management
Analytical thinking
Written & verbal communication
Cross-team collaboration

Education

Bachelor's degree or equivalent

Tools

Jira
Confluence
GitHub
Postman
Snowflake
APIs

Job description

Trepp, Inc. is seeking a Product Manager to shape AI-powered product initiatives from discovery through release and post-launch evaluation.

You’ll translate business needs into precise requirements and collaborate with engineering, data science, QA, and client-facing teams to drive impactful outcomes. The role emphasizes curiosity about AI, strong analytical skills, and comfort with SQL, databases, data pipelines, and APIs.

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