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Allstate

Digital Product Manager - Machine Learning

Reposted 4 Hours Ago
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Remote
Hiring Remotely in US
104K-188K Annually
Mid level
Remote
Hiring Remotely in US
104K-188K Annually
Mid level
As a Digital Product Manager, you'll define, deliver, and manage machine learning powered products, driving their lifecycle and ensuring alignment with customer needs and strategic goals.
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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

The Architecture Compute, and Engineering organization provides a transformative platform ecosystem with a comprehensive set of capabilities that empowers end users and digital product teams to innovate seamlessly and drive growth for Allstate through the Consumer Connected Cloud mission. This ecosystem aims to provide an absolute frictionless experience for our user community.
As a Digital Product Manager in the ACE organization, you'll be contributing towards defining, delivering, and managing the lifecycle of one product ensuring they meet the needs of the customers and align with the company’s strategic goals. This role requires a blend of strategic thinking, technical understanding, and business acumen.
A career as a Digital Product Manager is both challenging and rewarding, offering the opportunity to innovate and shape the future of digital products. Ideal candidates are strategic thinkers with strong technical and communication skills, capable of driving product success in a fast-paced environment.

We are seeking a forward-thinking Machine Learning Digital Product Manager to lead the strategy, development, and lifecycle powered by machine learning platforms and AI technologies for digital products across technology teams. This role bridges the gap between data science, engineering, and business, ensuring that Machine Learning Cloud Platforms deliver measurable value to users and stakeholders.

Key Responsibilities  

  • Product Strategy and Vision: Develop and communicate the vision and strategy for digital product/s. 
  • Market Research: Conduct market and user research to identify trends, customer needs, and competitive landscape. 
  • Product Development: Collaborate with cross-functional teams to design, develop, and launch new digital products. 
  • Roadmap Management: Create and continuously maintain a product roadmap that aligns with business goals and customer needs. 
  • Ongoing Management: Work with the Digital Product team to write & groom stories, prioritize, and manage the backlog. 
  • Performance Monitoring: Definite product performance metrics & monitor product performance using analytics tools and make data-driven decisions. 
  • Stakeholder Communication: Communicate product progress and updates to internal stakeholders and external partners. 
  • Budget Management: Manage product budgets and resources efficiently. 
  • Customer Feedback: Gather and analyze customer feedback to continually improve the product. 

Product Skill Qualifications

  • Experience with Agile methodologies and product management tooling 
  • Analytical Skills: Proficiency in data analysis and interpretation to inform product decisions. 
  • Communication Skills: Excellent verbal and written communication skills. 
  • Leadership: Proven ability to communicate, lead and inspire cross-functional teams and stakeholders.
  • Problem-Solving: Strong problem-solving skills and creativity in finding solutions. 
  • Experience in networking, identity management solutions, infrastructure as code, automation, data analytics, or cloud solutions preferred. 
  • Operates as a product manager with minimal guidance; can act as a practitioner in low complexity products 
  • Conducts appropriate product ceremonies 
  • Influences product direction, backlog, & roadmap 

Technical Skill Qualifications

  • 3+ years of experience, focused on ML/AI products is preferred  
  • Strong understanding of machine learning concepts, model lifecycle, and data pipelines
  • Experience with cloud platforms (AWS, Azure and/or GCP) is preferred.
  • Ability to balance technical depth with business acumen.
  • Monitor competitive landscape and emerging trends in AI/ML technologies.
  • Translate complex ML concepts into clear product requirements and user stories.

Skills

Business Case Analyses, Cloud Platform, Communication, Data Analytics, Machine Learning, Microsoft Azure, Product Management, Product Roadmap, Product Roadmapping, Product Strategies, Systems Thinking

Compensation

Compensation offered for this role is $104,000.00 - 187,625.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Top Skills

Agile Methodologies
AWS
Azure
Cloud Solutions
Data Analytics
GCP
Machine Learning

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