Product manager

Role Overview:

We are building an AI-driven automated data platform powered by LLMs, where product decisions are shaped through rapid experimentation and real-world feedback loops. As a Product Manager for our Automated data extraction platform, you will operate at the intersection of product, data, and engineering, driving how the system learns, improves, and scales. This is a high-ownership role where you won’t just define features, you will continuously shape product behaviour through experimentation, insights, and execution. If you enjoy working on complex backend products, solving ambiguous problems, and seeing direct impact from your decisions, this role offers a steep learning curve and meaningful ownership early on.

Key Responsibilities:

• Work on a core automated data platform powered by LLMs, building real-world AI systems.
• Drive and scale LLM-led experimentation, using rapid iteration to shape product behavior and outcomes.
• Analyze experiment results to uncover patterns, gaps, and opportunities, translating insights into product improvements.
• Partner closely with engineering to improve system performance, debug issues, and refine outputs.
• Collaborate with Operations to ensure smooth testing cycles and high-quality releases.
• Convert successful experiments and POCs into product roadmap and shipped features, taking ideas from hypothesis to production.
• Lead quality and feedback loop initiatives to continuously improve product accuracy and reliability.
• Work cross-functionally across Product, Engineering, and Operations, gaining deep exposure and high learning velocity in a fast-paced environment.

Requirements Skills and Qualifications:

• Strong ability to structure messy or incomplete information.
• Practical problem-solving and prioritization skills.
• High ownership and bias for action.
• Clear and concise communication, comfort working across teams (Dev, Ops, Product).
• Ability to adapt quickly in a fast-changing environment.
• Familiarity with experimentation, A/B testing, or data analysis.