Technical Product Owner- CoPilot

Apex Systems; Bothell, Northern (WA, KY); Hybrid; USD 110,000 - 124,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Apex Systems in Bothell/Bellevue, WA, is seeking a Technical Product Owner to lead an AI transformation focused on Copilot and related productivity platforms.

You will define end-to-end strategy, gather requirements, translate them into user stories for development teams, manage roadmaps, and ensure governance, security, and adoption through training and metrics.

Qualifications

• Bachelor’s degree in CS/IT/Business/Data & Analytics or related field.
• Six+ years as Technical Product Manager/Owner in agile environments.
• Demonstrated Copilot rollout experience.
• Deep MS 365 Copilot and M365 ecosystem knowledge.

Responsibilities

• Define AI strategy, roadmap, and governance for Copilot and productivity tools.
• Elicit, document, and prioritize business requirements for AI-enabled features.
• Translate needs into actionable user stories and technical specs.
• Build and maintain a strategic AI platform roadmap aligned with digital transformation.
• Prioritize backlog and plan rollouts based on value and complexity.
• Collaborate with IT, data teams, and security for seamless integration.
• Define acceptance criteria and success metrics; oversee testing and validation.
• Support rollout with training and adoption assets to drive engagement.
• Monitor performance and usage to identify optimization opportunities.

Skills

Microsoft 365 Copilot

M365 ecosystem

AI governance

Security best practices

API integrations

Prompt engineering

Cloud-native architecture

Education

Bachelor’s degree in Computer Science, IT, Business, Data & Analytics, or related field

Tools

Microsoft 365 Copilot

Azure AI Engineer

Job description

# Technical Product Owner- CoPilotApply**Job#: 3052642****Job Description:**Technical Product Owner - AI**Location:** Bothell or Bellevue Washington (Hybrid)**Employment Type:** 2 year ContractRole OverviewThis role is focused on leading an AI transformation by defining the strategy for leveraging Copilot and related AI productivity platforms. As the Technical Product Owner, you will be responsible for the end-to-end strategy, development, and management of AI-driven productivity tools. You will collaborate with IT, Data Operations, IT Security, and business stakeholders to gather requirements, define user stories, and prioritize features that utilize generative AI to enhance employee productivity.Key Responsibilities* Manage the AI/Copilot lifecycle, from strategy and roadmap development to deployment and governance.* Engage with stakeholders to elicit, document, and prioritize business requirements for AI-enhanced productivity.* Translate business needs into actionable user stories and technical specifications for development teams.* Create and maintain a strategic roadmap for the AI productivity platform, aligning it with broader digital transformation initiatives.* Prioritize the product backlog and future rollouts based on business value, technical complexity, and resource constraints.* Partner with IT infrastructure, operations, and data teams to ensure seamless integration of new AI capabilities.* Define acceptance criteria and success metrics, and oversee the testing and validation of AI features.* Support the rollout of new AI tools by organizing training, developing adoption assets, and driving user engagement.* Continuously monitor the performance and usage of AI tools to identify opportunities for enhancement and optimization.Required Qualifications**Education:** A Bachelor’s degree in Computer Science, Information Technology, Business, Data & Analytics, or a related field is required.**Experience:** A minimum of six years of experience as a Technical Product Manager, Technical Product Owner, or in a similar role within an agile environment. Demonstrable experience with a prior Copilot rollout is required.**Technical Skills:** Deep practical experience with Microsoft 365 Copilot and the broader M365 ecosystem. Knowledge of AI and machine learning concepts, cloud-native architecture, and API integrations is necessary. Familiarity with AI governance, security, and responsible AI practices is expected.Preferred Qualifications* Experience with prompt engineering or configuring AI model outputs to meet user needs.* Knowledge of identity and access management (IAM), data privacy, and security best practices.* Certifications such as Certified Scrum Product Owner (CSPO), Azure AI Engineer Associate, or Enterprise Administrator Expert are advantageous.Compensation & BenefitsThe anticipated compensation range for this position is $80 -$90/hr. A comprehensive benefits package is available for eligible employees.This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.