AI Digital Product Manager – Remote (EST Hours)

Allstate Insurance Company

United States

Remote

USD 120,000 - 194,000

Full time

14 days+

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Job summary

Allstate Insurance Company is seeking an experienced AI-focused Product Manager to lead the AI‑DLC product area within the ACE organization, accelerating an AI-native business. You will drive strategy, user research, and KPI-driven delivery across multiple products and experiments.

You will collaborate with engineering teams in India, participating in discovery, test-and-learn activities, and translating complex AI topics into actionable user stories while influencing decisions at executive

Qualifications

Minimum 3 years of experience in a product-focused role.
Minimum 7 years of experience delivering products in an IT environment.
Experience delivering large-scale, enterprise initiatives.
Demonstrated ability to monitor market trends and adapt product strategy accordingly.
Strong presentation and communication skills, with experience influencing decisions at multiple organizational levels.
Experience working in KPI-driven environments.
Proven ability to communicate complex and innovative concepts clearly and drive decision-making.
Ability to work independently, proactively anticipate challenges, and identify opportunities.
Entrepreneurial mindset with a strong bias for action.
Demonstrated skill in defining and prioritizing product features.
Comfort working early hours aligned to EST to support overlapping collaboration with India-based engineering teams.

Responsibilities

Contribute to the creation and evolution of product strategy for one or more products and experimental initiatives, focusing on emerging AI capabilities.
Apply user-centered design practices, including customer journey mapping, to gather insights and feedback.
Design and run evaluation frameworks to measure reliability, performance, security, cost efficiency, and regression robustness.
Use KPIs to guide direction and frame build-versus-buy analyses.
Measure success through team outcomes and customer satisfaction.
Use customer feedback, market analysis, and data insights to inform product direction and prioritization.
Apply lean product concepts to validate assumptions quickly and deliver simple, effective designs.
Define and track meaningful metrics to guide future product decisions.
Translate complex topics into small, testable user stories.
Drive aligned features across multiple products for end-to-end journeys.
Lead discovery and test-and-learn activities, validating AI-enabled solutions.