Sr. Product Manager - AI Applications

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$102,662 national median

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

114% above the BLS national median for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Sr. Product Manager - AI Applications United States of America - Remote / Home Office Job Summary: The Senior Product Manager - AI Applications is responsible for the strategic development and deployment of agentic and AI-based solutions designed to drive internal efficiencies within the Revenue Organization, specifically supporting Marketing, Pricing, Promotions, Merchandising, and Product Management. Job Expectations: - Develop and oversee the product roadmap for AI-driven internal tools and agentic workflows. - Design AI solutions to automate and optimize processes within Marketing, Pricing, and Merchandising. - Collaborate with the Revenue Organization to identify high-impact opportunities for AI integration. - Deploy and iterate on AI applications at high speed to meet evolving business needs. - Manage the integration of AI platforms and orchestration tools into existing internal infrastructures. The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice. Knowledge, Skills, and Abilities: Required: - High degree of accuracy and attention to detail. - Excellent organization skills and ability to multi-task. - Expertise in AI workflow management and orchestration tools (e.g., n8n). - Deep understanding of LLM-based development environments and tools like Claude Code. - Experience with Model Context Protocol (MCP) servers and system integrations. - Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Preferred: - Experience with Microsoft

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