Senior Product Manager
First seen by Alion on Nov 12, 2026.
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.
Key Responsibilities:
- 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.
- Design context management into the workflow - surfacing the right source documents, prior decisions, and model reasoning at the moment an analyst needs to judge or correct an output.
- Build the feedback and tuning loop end to end: capture structured signal from every human correction, route it to the AI/ML team in a form they can act on, and close the loop by measuring whether it changed downstream accuracy.
- 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.
- Understand the mechanics of feedback loops: how to capture a human correction as structured signal.
- Can design for two audiences at once - the analyst doing the review and the AI/ML system consuming what the review produces.
- Can comfortably work with highly technical teams and participate in architecture and system design discussions.
- Strong 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.
- Strong written and verbal communication skills.
- Thrive in fast-paced, ambiguous environments with high ownership and autonomy.
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.
Why Join Daloopa?:
- Impact at scale: Your work directly supports some of the world's most demanding investment teams.
- Culture of excellence: Be part of a team that values accuracy, speed, and raising the bar every day.
- Growth opportunities: Gain exposure to global capital markets while sharpening your financial and analytical skills.
- Dynamic workplace: A culture built on ownership, transparency, and collaboration.
Employee Benefits:
- Comprehensive Health Insurance
- Employee well-being program with 24x7 medical assistance
- Work-life balance with flexible policies
Skills
Product Management, Artificial Intelligence, Machine Learning, Generative AI, SQL