Role Overview:We are looking for a Senior Product Manager to own the platform where humans and AI work together on live financial data - the review and feedback layer that supplements our AI extraction systems.Every correction, override, and judgment call a human analyst makes in this product is a signal. Your job is to design the experience so that signal gets captured cleanly and routed back into the systems that need it: better context for the model at the point of decision, structured feedback loops, and inputs that improve accuracy of our data.Own the roadmap for the review and feedback experience, covering how analysts see model context, make corrections, and resolve disagreements between AI output and ground truth.- Partner with Engineering and AI/ML to define what needs to be reviewed, what the ideal review experience is, and how it endures with future AI model updates.- Instrument the full workflow from document to reviewed datapoint, with a single metric the team can rally around for review speed and error rate.- Collaborate cross-functionally across Product, Engineering, and Operations to align priorities, execute quickly,



and deliver measurable business impact.- Stay current on advancements in AI/LLMs and apply emerging capabilities - particularly around human-in-the-loop tuning and RLHF-style feedback - thoughtfully into platform strategy and execution.Skills and Qualifications:- 3+ years of experience building AI/ML product features, or workflow/tooling products.- 8+ years of PM experience at Series B or later companies.- Experience owning complex platform or workflow products end-to-end, ideally ones where humans review or correct AI/ML output.- Solid product judgment and can balance review speed, data quality, and operational complexity.- Highly analytical and comfortable balancing use of data and domain-specific intuition.- Experience designing experimentation frameworks, benchmark evaluations, or feedback loop systems.- Preferred Qualifications:- Shipped, as an IC, at least 1 AI-native product or agentic workflow or hybrid ML/LLM system into production at 1K+ DAU or transactions per day scale.- Shipped at least 1 human-in-loop review, annotation, or QA tooling product feature to at least 1K+ DAU.- Familiarity with SQL, experimentation frameworks, and product analytics tools.- Experience scaling review or QA workflows across multiple workflows, geographies, or datasets.- Background in B2B SaaS, AI infrastructure, or FinTech products.Growth opportunities: Gain exposure to global capital markets while sharpening your financial and analytical skills.- Employee Benefits:- Comprehensive Health Insurance- Employee well-being program with 24x7 medical assistance- Work-life balance with flexible policies (ref:hirist.

📌 Senior Product Manager , Hybrid (India)
🏢 Daloopa Private
📍 India