
51 - 200 employees
Founded 2016
đ€ Artificial Intelligence
âïž SaaS
đą Enterprise
Artificial Intelligence âą SaaS âą Enterprise
IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.
đ„ 0 minutes ago
đșđž United States â Remote
đ” $140k - $175k / year
â° Full Time
đ Senior
â Product Manager
đ» Ghost score 0%
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51 - 200 employees
Founded 2016
đ€ Artificial Intelligence
âïž SaaS
đą Enterprise
Artificial Intelligence âą SaaS âą Enterprise
IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.
âą Own the roadmap and day-to-day product decisions for a core data product line spanning consumer panel data and web intelligence capture âą Manage the full product lifecycle from problem definition through shipped, measured outcomes âą Define data quality standards and partner with engineering on schemas, pipelines, and validation logic âą Drive contributor/panelist acquisition, activation, retention, source coverage, and data freshness âą Instrument and monitor funnel, capture coverage, quality, usage, and data delivery reliability metrics âą Translate raw data capabilities into client-facing insight products, specifications, and dashboards âą Represent the product line in cross-functional planning and align on shared data contracts and standards âą Run roadmaps, specifications, sprints, and execution through Linear and Notion âą Use AI tools for research, drafting, data analysis, prototyping, and product capability development âą Work directly with engineers in a small, distributed team
âą Bachelor's degree âą 4-6+ years of experience, including meaningful time in a Product Manager role (or an equivalent hybrid technical/product role) within a small team environment âą Strong technical and data fluency âą Comfortable reading SQL, understanding data pipelines and schemas, and discussing data contracts, quality, and architecture with engineers âą Experience owning a product or feature area end to end, from data/requirements through shipped, measurable outcomes âą Track record of using data and metrics to drive prioritization decisions âą Excellent written communication âą Fluency with modern PM tooling (Linear, Notion, or equivalents) and AI tools such as Claude âą Authorization to work in the US without company sponsorship
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