Product Manager, AI

🕒 July 13

🇺🇸 United States – Remote

💵 $140k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data. • Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models. • Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products. • Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements. • Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness. • Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners. • Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability. • Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.

🎯 Requirements

• 4-6+ years of product management or similar experience. • Experience building AI copilots, agents, or internal AI tools • Familiarity with how AI/ML models and AI agents are built and maintained. • Strong product instincts with a track record of building 0→1 or ambiguous products • Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals) • Generalist knowledge of both engineering and design. • Able to design and evaluate prompts, contexts, and model behaviors. • Analytical thinker, comfortable with data and experimentation. • Great communicator and collaborator. • High ownership mindset with a bias toward action and learning.

🏖️ Benefits

• flexible work hours • flexible vacation • generous 401K match • parental leave • team events • wellness budget • learning reimbursement