Platform Product Manager - AI & Cloud Solutions (Remote)

Laudio; Burlington (MA); Hybrid; USD 107,200 - 153,340; Full time

Benefits offered by this job

Health, dental, and vision insurance

Company paid Life Insurance

401(k) with company match

Paid time off and parental leave

Employee assistance program

Other employee wellness programs suchs

Charitable matching program

Job summary

Ascend Learning seeks a Technical Product Manager to lead shared platform capabilities across its healthcare and learning technology products. You will define strategy, roadmaps, and measurable outcomes for enterprise platform services used by internal engineering teams and business product groups.

The role sits at the intersection of product management, engineering, data, and AI, requiring strong technical fluency and clear communication with technical and business stakeholders.

Qualifications

• 5+ years in product management, technical or platform product roles.
• Experience with engineering teams to define and deliver tech products.
• Strong understanding of APIs, cloud platforms and modern architecture.

Responsibilities

• Own shared platform capabilities and drive roadmaps aligned with business priorities.
• Define product vision, strategy, outcomes, and success metrics for platforms.
• Translate needs into requirements, user stories, and acceptance criteria.
• Prioritize backlogs and partner with engineering to deliver scalable services.
• Collaborate across product, security, data, AI, and IT teams to scale platforms.
• Define adoption, performance, and value metrics and guide roadmap decisions.

Skills

Product management

Technical product management

APIs

Cloud platforms

Distributed systems

Stakeholder communication

Education

Degree in Computer Science, Engineering, Information Systems, or related field

Tools

Azure

Job description

Ascend Learning seeks a Technical Product Manager to lead shared platform capabilities across its healthcare and learning technology products. You will define strategy, roadmaps, and measurable outcomes for enterprise platform services used by internal engineering teams and business product groups.

The role sits at the intersection of product management, engineering, data, and AI, requiring strong technical fluency and clear communication with technical and business stakeholders.