Top Artificial Intelligence Product Manager Jobs

The Technical Product Manager will manage product development lifecycle, collaborate with engineering and stakeholders, and advocate for user-focused solutions in a fast-paced environment.

The Technical Product Manager will lead product strategies, translating complex scientific research into actionable deliverables, driving cross-functional alignment across research and engineering teams.

The Product Manager will own a core area of the Patlytics platform, collaborating with teams to develop features for patent management workflows. Responsibilities include customer engagement, strategic planning, metrics definition, and overseeing product velocity.

The role involves managing the product lifecycle, coordinating with R&D and marketing for new product development, and enhancing product data automation.

As a Senior Product Manager, you will drive partner integrations, develop new products, and collaborate with cross-functional teams to enhance Cognitiv's advertising solutions.

As a Technical Product Manager at Zoox, you'll define the product roadmap for autonomy driving behavior, align strategies, set requirements, and collaborate across teams to ensure safety and compliance.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

Own the Wolf Games Vault product to drive discovery, personalization, and repeat visitation. Define measurement frameworks, run experiments, partner with Engineering/Design/Data/Creative, and build publisher-facing platform features to increase engagement and retention.

Own and optimize the end-to-end conversion funnel from first touch to paid subscription. Lead a high-tempo experimentation roadmap, analyze funnel and retention metrics in Mixpanel, write dev-ready specs, run pricing/paywall tests, iterate quickly with engineers and designers, and conduct Gen-Z customer discovery to drive revenue and retention.

Lead product vision and roadmaps across multiple initiatives for Sift's fraud-prevention platform. Partner with engineering, data science, sales, and marketing to define requirements, write specs, run customer discovery and beta programs, and drive go-to-market and adoption. Balance technical execution with strategic portfolio-level product strategy.