Principal Product Owner, Copilot Studio

Softcard (acquired by Google)

. Own a portfolio of Microsoft Copilot Studio agents, capabilities, or agent families across Invesco domains .

Posted 10/1/2026full-timeUnited StatesLead💰 $140,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product ownership and management within the asset management domain, focusing on Microsoft Copilot Studio and AI integration. Capable of translating complex business workflows into actionable product requirements while ensuring compliance with security and regulatory standards.

Highest-signal resume keywords

Product OwnershipAsset Management ExpertiseMicrosoft Copilot StudioData Integration PatternsLarge Language Model Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementBacklog ManagementPrompt DesignRetrieval-Augmented GenerationAPI IntegrationJSON Payload StructuringDecision-MakingQuality Standards DefinitionPerformance EvaluationUser Story Translation

Soft Skills

Stakeholder EngagementCollaborationPrioritizationCommunicationProblem-Solving

Tools & Technologies

Microsoft Power PlatformPower AutomateCustom ConnectorsCopilot StudioData Sourcing Tools

Industry Keywords

Financial ServicesGoverned EnvironmentsRegulatory ComplianceInvestment DataClient Servicing

About the role

Key responsibilities & impact

Own a portfolio of Microsoft Copilot Studio agents, capabilities, or agent families across Invesco domains
Define and communicate product vision, scope, and success metrics
Own the full agent lifecycle from ideation and MVP through production deployment and ongoing enhancement
Partner with business stakeholders across Investments, Distribution, Operations, Risk, Compliance, and Technology
Translate asset management workflows and pain points into user stories, agent behaviors, and functional requirements
Define the functional and technical specifications of Copilot Studio agents with developers and platform teams
Define agent instructions, guardrails, tone, and response constraints for financial services use
Guide data sourcing, integrations, APIs, and reusable components
Collaborate on agent behaviors using LLM fundamentals and prompt design
Apply RAG techniques to ground agents in proprietary investment data
Evaluate model performance, cost, and response speed to optimize agent efficiency
Define requirements for integrations using Microsoft Power Platform, Power Automate, and Custom Connectors
Ensure secure and compliant data access and prevent data leakage or unauthorized financial advice
Represent the product in architecture, security, and governance reviews
Document intended use, limitations, assumptions, and risks for each agent
Serve as primary product contact for Copilot Studio developers
Provide acceptance criteria, quality standards, and product guardrails
Promote shared capabilities and repeatable patterns to reduce duplication and use-case sprawl
Partner with platform teams to improve developer experience and responsible adoption
Define and monitor adoption, usage, time savings, quality improvement, and risk reduction metrics
Assess agent performance and user feedback to guide prioritization and enhancements

Requirements

What you’ll need

5 to 10 years of measurable experience in product ownership and industry
Strong understanding of the Asset Management business, including investments, products, client servicing, or operations
Ability to engage credibly with business leaders and subject matter experts
Experience translating complex business workflows into actionable product requirements
Familiarity with Microsoft Copilot Studio, Power Platform concepts, or similar AI / low-code platforms
Understanding of prompt and instruction design, data integration patterns, and AI limitations
Comfort working closely with engineers, architects, data teams, and security partners
Proven experience in product ownership, product management, or business-focused technology roles
Strong prioritization, backlog management, and decision-making skills
Experience operating in governed or regulated environments preferred
Understanding of large language model (LLM) fundamentals, including system prompts, few-shot prompting, and chain-of-thought reasoning
Knowledge of Retrieval-Augmented Generation (RAG) techniques
Familiarity with Power Automate and Custom Connectors
Understanding of OAuth, service principals, JSON payload structuring, and safety guardrails
Ability to ensure compliance with enterprise security, data protection, and regulatory requirements

Benefits

Comp & perks

Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan