Remote Product management Jobs โ€ข LLMs

4 results

Job listings

Senior Product Manager, Generative AI

SmartAsset ๐Ÿ“Š๐Ÿ’ก๐Ÿข
$135,500โ€“$180,000
USD/year

We are looking for an exceptional and user-obsessed Senior Product Manager to join our team and lead a large-scale, greenfield project from concept to launch. This role will be pivotal in shaping and launching a new marketing content creation application for financial advisors, powered by generative AI. The ideal candidate is a product builder at heart and passionate about solving complex problems.

Engineering Manager, ML Understanding

Reddit ๐Ÿ’ฌ๐Ÿ‘ฝ๐Ÿ”ฅ
$230,000โ€“$322,000
USD/year

Lead the ML Understanding team and unlock the full potential of Redditโ€™s vast content through cutting-edge AI. The MLU Team develops foundational AI models and leverages the latest advances in LLMs to deeply understand content and communities and represent usersโ€™ rich and varied interests. The teamโ€™s foundational work drives impact by enabling relevant, personalized experiences, enhanced insights, and accelerated development for Reddit product teams.

Senior Product Manager โ€“ AI Products

Ontic ๐Ÿ›ก๏ธ๐Ÿ”’๐Ÿข
US Unlimited PTO

Ontic is on a mission to accelerate productivity, insight, and decision-making using the power of generative AI. As a Senior Product Manager โ€“ AI Products, youโ€™ll play a pivotal role in creating powerful AI capabilities, accelerating Onticโ€™s AI first approach through strategic roadmap and execution. You will own the AI first roadmap and identify High-Impact Use Cases.

Senior Product Manager, AI Products

Ontic ๐Ÿ›ก๏ธ๐Ÿ”’๐Ÿข
$170,000โ€“$180,000
USD/year

Shape AI-driven user journeysโ€”from prompts and natural language inputs to safe, explainable outputs. Drive the roadmap and execution of AI-powered interfaces and automation layers that sit atop existing systems and workflows, identify High-Impact Use Cases, and partner with clients, designers, and internal teams. Prioritize safely and responsibly, balance velocity with responsible AI practices, considering bias, hallucination risk, and transparency, and define Success Metrics.