Digital Product Manager - Machine Learning (Remote - US) - job 2 of 2

This position is posted by Jobgether on behalf of Allstate 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 lead the strategy, development, and lifecycle of cloud-based AI and ML digital products. In this role, you will collaborate with engineering, data science, and business teams to define product vision, prioritize features, and ensure ML platforms deliver measurable value. You will influence roadmaps, translate complex 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 vision, 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, develop, and launch ML-driven digital products.
• Manage product backlogs, write and groom user stories, and prioritize features aligned with business goals.
• Monitor product performance using analytics tools and make data-driven decisions for continuous improvement.
• Gather and analyze customer and stakeholder feedback to refine ML products and enhance usability.
• Communicate progress, updates, and outcomes to internal teams and external partners.
• Manage budgets and allocate resources efficiently to meet product objectives.

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

• Competitive salary range: $104,000 – $187,625 annually, based on experience and qualifications.
• Remote work flexibility.
• Comprehensive medical, dental, and vision 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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual 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!

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