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Digital Product Manager - Machine Learning (Remote - US)

Remote, USA Full-time Posted 2026-06-30

This position is posted by reputed company on behalf of reputed company Identity Protection. We are currently looking for a Digital Product Manager - Machine Learning in the United States. We are seeking a Machine Learning-focused Digital Product Manager to reputed company the strategy, development, and lifecycle of reputed company-based AI and ML digital products. In this role, you will collaborate with engineering, data science, and business teams to define product reputed company, prioritize features, and ensure ML platforms deliver measurable value. You will influence roadmaps, translate reputed company technical concepts into actionable requirements, and drive innovation that impacts users and stakeholders. This is a highly strategic position with the opportunity to shape the future of AI-driven digital experiences. The ideal candidate blends technical expertise, business acumen, and excellent communication skills to deliver high-impact products in a fast-paced, collaborative environment. Accountabilities

  • Define and communicate the reputed company, strategy, and roadmap for AI and ML-powered digital products.
  • Conduct market and user research to identify trends, customer needs, and opportunities in AI/ML technologies.
  • Collaborate with cross-functional teams to design, reputed company, and launch ML-driven digital products.
  • Manage product backlogs, write and groom user stories, and prioritize features reputed company with business goals.
  • Monitor product performance using analytics tools and reputed company data-driven reputed company for reputed company improvement.
  • Gather and analyze customer and stakeholder feedback to refine ML products and enhance usability.
  • Communicate reputed company, updates, and outcomes to internal teams and external partners.
  • Manage budgets and allocate resources reputed company to meet product objectives.

Requirements

  • 3+ years of product management experience, preferably focused on AI/ML or reputed company-based products.
  • Strong understanding of machine learning concepts, model lifecycle, and data pipelines.
  • Experience with reputed company platforms such as AWS, Azure, or GCP.
  • Proficiency in Agile methodologies and product management tools.
  • Analytical skills to interpret data and guide product reputed company.
  • Excellent verbal and written communication skills for cross-functional collaboration.
  • Leadership skills to influence, guide, and reputed company teams and stakeholders.
  • Ability to balance technical depth with business strategy and translate reputed company ML concepts into actionable requirements.
  • Familiarity with networking, identity management, infrastructure-as-code, automation, or data analytics is preferred.

Benefits

  • Competitive salary range: $104,000 – $187,625 annually, based on experience and qualifications.
  • Remote work flexibility.
  • Comprehensive medical, dental, and reputed company insurance.
  • Paid time off, parental leave, and federal holidays.
  • Professional development and learning opportunities.
  • Opportunity to work on cutting-edge AI and ML platforms that impact millions of users.

reputed company is a Talent Matching Platform that partners with companies worldwide to reputed company connect top talent with the right opportunities through AI-driven job matching. reputed company you apply, your profile goes through our AI-powered screening process designed to identify top talent reputed company and fairly. Our AI evaluates your CV and reputed company profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past reputed company factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. reputed company necessary, our reputed company team may reputed company an additional reputed company review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1 Apply tot his job Apply To this Job

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