Top Remote Artificial Intelligence Product Manager Jobs

Lead product vision and roadmap for Hirevue's evaluation and hiring platform. Partner with Design, Engineering, Data Science and GTM teams to define, build, launch, and iterate data-driven features, own prioritization, metrics, adoption and post-launch learning, and support customers and teams through documentation and training.

Lead product lifecycle for internal PaaS and Data-as-a-Service offerings focused on SRE and data engineering. Drive system reliability (99.99% availability), scaling strategies, GCP cost optimization, BigQuery/table and ETL performance, AI/ML enablement, and data governance/compliance across cross-functional teams.

Founding Product Engineer will define, prototype and ship a new consumer product from scratch, own the end-to-end product and retention metrics, run user research and interviews, build full-stack features, and use AI as a core primitive to deliver a production-ready MVP and engagement loops.

Own product strategy and delivery for government solutions: gather customer insights, write actionable requirements, lead backlog and priorities, partner with sales/engineering/marketing, and track product metrics to drive adoption and revenue in government workflows.

Drive simplification and automation of tax operations for a B2B SaaS product. Gather requirements, launch automation features, partner with engineering, design, and operations, and integrate third-party tools to deliver end-to-end solutions.

Lead product vision and strategy for a liquid staking and derivatives DeFi platform. Define KPIs, conduct market research, align features with company goals, guide cross-functional teams through product lifecycle, and communicate strategy to stakeholders and investors.

Design, develop, and maintain a frontend generative AI web app and backend services, collaborate with ML engineers, and participate in software development lifecycle phases.

Own Oscilar's AML product suite (transaction monitoring, KYC/KYB, screening, case management, SAR filing, AI agents). Define detection rules, model calibration, data strategy, and defensible audit trails. Collaborate with engineers and compliance, use AI across discovery/design/analysis, deliver PRDs, validate models, and ship production features.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

Lead product management efforts at Genesis Molecular AI by defining product roadmaps, collaborating across teams, and ensuring execution of projects in drug discovery.