{"id":4162419,"url":"https://alion.io/job/daloopa-senior-product-manager-2","title":"Senior Product Manager","company":{"id":9231,"name":"Daloopa","domain":"daloopa.com","url":"https://alion.io/company/daloopa","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Noida, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Human-in-the-Loop","optional":false},{"name":"RLHF","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-12T12:31:29Z","employer_posted_date":null,"last_verified_at":"2026-11-12T12:31:29Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Role Overview:\n\nWe 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.\n\nEvery 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.\n\nKey Responsibilities:\n\n- 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.\n\n- 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.\n\n- 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.\n\n- 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.\n\n- Instrument the full workflow from document to reviewed datapoint, with a single metric the team can rally around for review speed and error rate.\n\n- Collaborate cross-functionally across Product, Engineering, and Operations to align priorities, execute quickly, and deliver measurable business impact.\n\n- 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.\n\nSkills and Qualifications:\n\n- 3+ years of experience building AI/ML product features, or workflow/tooling products.\n\n- 8+ years of PM experience at Series B or later companies.\n\n- Experience owning complex platform or workflow products end-to-end, ideally ones where humans review or correct AI/ML output.\n\n- Understand the mechanics of feedback loops: how to capture a human correction as structured signal.\n\n- Can design for two audiences at once - the analyst doing the review and the AI/ML system consuming what the review produces.\n\n- Can comfortably work with highly technical teams and participate in architecture and system design discussions.\n\n- Strong product judgment and can balance review speed, data quality, and operational complexity.\n\n- Highly analytical and comfortable balancing use of data and domain-specific intuition.\n\n- Experience designing experimentation frameworks, benchmark evaluations, or feedback loop systems.\n\n- Strong written and verbal communication skills.\n\n- Thrive in fast-paced, ambiguous environments with high ownership and autonomy.\n\nPreferred Qualifications:\n\n- 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.\n\n- Shipped at least 1 human-in-loop review, annotation, or QA tooling product feature to at least 1K+ DAU.\n\n- Familiarity with SQL, experimentation frameworks, and product analytics tools.\n\n- Experience scaling review or QA workflows across multiple workflows, geographies, or datasets.\n\n- Background in B2B SaaS, AI infrastructure, or FinTech products.\n\nWhy Join Daloopa?:\n\n- Impact at scale: Your work directly supports some of the world's most demanding investment teams.\n\n- Culture of excellence: Be part of a team that values accuracy, speed, and raising the bar every day.\n\n- Growth opportunities: Gain exposure to global capital markets while sharpening your financial and analytical skills.\n\n- Dynamic workplace: A culture built on ownership, transparency, and collaboration.\n\nEmployee Benefits:\n\n- Comprehensive Health Insurance\n\n- Employee well-being program with 24x7 medical assistance\n\n- Work-life balance with flexible policies\nSkills\nProduct Management, Artificial Intelligence, Machine Learning, Generative AI, 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