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