Staff Product Manager

EducationPals; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EducationPals is seeking a Banner Staff Product Manager to lead AI adoption initiatives across engineering workflows. This remote role focuses on understanding customer AI usage, spotting market signals, and shaping observability requirements for AI features.

You will stay current with AI/ML developments and partner with communities, researchers, and early adopters to ensure education technology products stay ahead of the curve.

Responsibilities

• Build deep understanding of how customers are adopting AI in their engineering workflows.
• Identify patterns across customer conversations signaling future market needs.
• Stay current with AI/ML developments (RAG, fine-tuning, agentic systems) and translate implications for observability.
• Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream.
• Enable AI innovation across the product portfolio.

Skills

Product management

AI fundamentals

RAG

Job description

Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio [...] Banner Staff Product Manager Remote - Unite

Relevance is based on skills and concepts, not a guarantee that you qualify.

Covered skills: Product management AI fundamentals RAG

Skills to close: None listed

Build the skills for this job

Coming-soon courses matched to this posting: outline, waitlist, and skill path.

1. Mapping Work to Pattern Generation vs. Judgment

Learn to analyze your workflow and identify which tasks depend on statistical patterns versus contextual human decisions.

2. Designing Effective Constraints and Prompts

Build prompting and constraint systems that guide AI toward outputs aligned with your quality standards and brand requirements.

3. Building Human Review Processes

Create review workflows that systematically catch hallucinations, bias, tone failures, and other AI output problems.

4. Evaluating AI Adoption Proposals

Assess whether a proposed AI use case will create value or simply increase output volume without improving outcomes.

5. Defining Responsibility and Accountability

Establish clear ownership for AI-assisted work so your team knows who is accountable for quality, safety, and outcomes.

6. Real-World Application Patterns

Explore proven patterns for integrating AI into product, engineering, operations, and content workflows.

7. Creating Team Guidelines and Governance

Build practical, enforceable guidelines that help your team use AI responsibly and consistently.

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