Associate AI Operations Product Manager

Role Overview

As an Associate AI Operations Product Manager youll support the quality reliability and performance of our AI features. Youll work closely with Product Engineering and Data teams to evaluate AI outputs run structured tests and help improve accuracy and consistency across AI-powered workflows.

This is a hands-on learning-oriented role that blends product thinking AI quality testing and operational execution. You wont be expected to design modelsbut you will learn how AI systems behave and help ensure they work well for real users.

Who You Are

• Curious and analyticalyou enjoy breaking down outputs and asking why did this happen
• Detail-orientedyou notice inconsistencies edge cases and unexpected behavior.
• Comfortable writing clear notes test cases and summaries.
• Interested in AI systems and eager to learn how LLMs behave in production.
• Has a QA /testing /analysis mindset and enjoys structured validation.
• Proactive organized and open to feedback in a fast-moving environment.

Why This Role Is a Great Start

• Real exposure to production AI systems.
• Strong foundation in AI quality evaluation and product thinking.
• Clear growth path into:
  • Product Management
  • AI Quality / Evaluation Roles
  • Technical Product Roles
  • AIOps / ML Opsadjacent careers

Key Responsibilities

• Review and evaluate AI outputs for accuracy consistency and relevance.
• Classify AI errors (hallucinations retrieval issues formatting errors etc.).
• Execute regression tests using predefined scenarios and check expected vs actual outputs.
• Help maintain test cases scenarios and AI quality documentation.
• Assist in running prompt experiments and documenting results.
• Work with senior PMs and engineers to report issues and suggest improvements.
• Track AI quality trends regressions and recurring problem areas.
• Support monitoring of AI performance and drift over time.

Must-Have Qualifications

• 02 years of experience in Product QA Data Engineering or related roles
• (internships projects or academic work count).
• A Bachelors degree in CS Business Data Sciences AI or a similar engineering discipline.
• Strong analytical thinking and written communication skills (English and Urdu).
• Basic understanding of AI models
• Experience with structured testing validation or scenario-based evaluation.
• Comfortable working with engineers and technical concepts (APIs data flows).

Nice-to-Have (Not Required)

• Exposure to product management and analysis
• Hands-on experience with prompt writing or prompt testing.
• Exposure to RAG pipelines vector databases or model evaluation.
• Background in QA ITSM ITAM or B2B SaaS tools.
• Coursework or projects in AI ML data science or NLP.
• Startup internship or fast-paced product team experience.