Strategic Account Executive - Executive AI Adoption

Overview

The Customer Business Outcomes Executive AI Adoption Lead is a strategic leadership role responsible for accelerating AI adoption among senior business decision makers by translating business priorities into personalized AI experiences during Customer Business Outcomes (CBO) engagements.

This leader will leverage Microsofts evolving library of ready-to-deploy agents, including role-based agents such as Chief of Staff, Strategy Advisor, Finance Advisor, Operations Advisor, Customer Experience Advisor, and industry-specific agents, to ensure executive stakeholders leave CBO workshops with an AI solution directly aligned to their responsibilities, strategic priorities, and desired business outcomes.

The role serves as a bridge between executive ambition and enterprise-scale AI adoption by removing barriers that often slow transformation initiatives, including limited AI fluency, uncertainty about where to begin, and concerns that AI innovation creates risk outside established IT governance models.

By enabling executives to personally experience business value through tailored agents, this role drives broader organizational adoption, strengthens executive sponsorship, accelerates business transformation initiatives, and creates new pathways for Microsoft consumption growth.

This role is expected to become a foundational pillar of the CBO organization by creating repeatable executive adoption motions, scalable agent deployment frameworks, and global best practices that can be replicated across customers, industries, and geographies.

Success Measures:

• Number of executive stakeholders adopting personalized agents

• Executive satisfaction and engagement scores following CBO workshops

• Increase in AI adoption among key business decision makers

• Measurable business outcomes linked to agent deployment

• Reduction in executive adoption barriers and AI resistance

• Increased executive sponsorship of enterprise AI initiatives

• Expansion of AI consumption and transformation programs originating from executive-led adoption

• Creation of reusable global frameworks for Executive AI Adoption

• Agent survival rates at 30/60/90 days following CBO engagements

• Number of customer organizations implementing organizational design or incentive changes linked to AI adoption

• Lighthouse frameworks documented and reused across regions

Responsibilities

Executive AI Adoption Strategy

• Design and lead the CBO Executive AI Adoption motion for strategic customers and transformation engagements

• Partner with C-Level executives to identify business priorities, capability gaps, organizational constraints, and desired business outcomes

• Create personalized AI adoption journeys that demonstrate immediate value to executive stakeholders

• Ensure executives leave CBO workshops with a practical AI solution that directly supports their role, decision-making responsibilities, and business objectives

• Position AI as a business transformation capability rather than a technology deployment initiative

Executive Agent Deployment

• Leverage Microsofts library of pre-built agents and extensible agent frameworks to rapidly demonstrate business value

• Match executive personas with relevant AI capabilities including:

• Chief Executive Officer

• Chief Financial Officer

• Chief Operating Officer

• Chief Revenue Officer

• Chief Human Resources Officer

• Chief Information Officer

• Chief Marketing Officer

• Chief Supply Chain Officer

• Chief Risk Officer

• Guide executives through the development of role-specific agents that support decision making, operational effectiveness, employee productivity, strategic planning, and business transformation initiatives

• Create repeatable executive use cases that can be scaled across industries and customer segments

• Establish agent deployment patterns that align to measurable business outcomes

AI Adoption & Change Leadership

• Lower barriers to executive AI adoption through hands-on demonstrations and personalized experiences

• Address common executive concerns including:

• "I dont know where to start."

• "My team lacks AI skills."

• "I dont have time to learn another technology."

• "AI sounds interesting but I dont see how it applies to my role."

• Help executives become visible champions for AI transformation efforts

• Build executive confidence through practical application rather than theoretical education

• Create advocacy programs that encourage executives to model AI-enabled leadership behaviors

Business Value Realization

• Connect executive agent deployments to measurable business outcomes.

• Quantify value opportunities including:

• Productivity gains

• Decision acceleration

• Operational efficiency

• Revenue growth

• Cost reduction

• Risk mitigation

• Employee experience improvement

• Partner with Value Engineering, Industry Advisors, and Account Teams to connect AI use cases to broader transformation initiatives

• Develop executive success stories that demonstrate clear business impact

Organizational Design for Lasting Adoption

• Partner with CHROs and executive sponsors to translate executive AI adoption into the organizational changes that make it durable: role and job-description redesign, compensation and incentive alignment, career paths, and performance systems built for AI-enabled ways of working

• Advise executive teams on the operating-model mechanics that convert individual adoption into institutional practice: recognition systems, manager sign-off structures, and governance designed as a fast lane rather than a gate

• Ensure every CBO engagement leaves behind a named ownership structure (executive sponsor, champion network, agent owners), not a standalone deployment

Hybrid Workforce Leadership

• Coach executives to lead hybrid teams of people and AI agents: how delegation, quality review, feedback, and accountability change when part of the team is digital, and where hybrid teams break down

• Establish the discipline that agents are onboarded and managed like employees: every deployed agent carries a named manager with real weekly hours

• Lead by example: build and manage a working team of personal agents, and use that lived experience as the teaching material in executive engagements

Strategic Business Impact

This role exists to solve three of the largest barriers preventing enterprise AI adoption

Barrier #1: Executive Relevance

• Many executives understand that AI is important but struggle to connect it to their specific responsibilities

• Outcome: Executives leave with a personalized agent that solves a problem they own

Barrier #2: Organizational Capability

• Many organizations believe AI adoption requires every employee to become an AI expert before value can be realized.

• Outcome: Organizations gain confidence that business leaders can immediately leverage AI without requiring enterprise-wide expertise on day one

Barrier #3: IT Governance Concerns

• IT departments often fear loss of control when business users move faster than governance processes

• Outcome: Organizations see how AI agents can operate within enterprise governance frameworks while still delivering measurable business value

Qualifications

Required Qualifications:

Bachelors Degree AND 10+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR Masters Degree AND 9+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR 13+ years experience in working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR equivalent experience.

6+ years experience making recommendations to and/or collaborating with mid-to-senior level executives.

8+ years experience closing large, complex agreements/deals.

Other Requirements:

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications:

Bachelors Degree AND 13+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR Masters Degree AND 11+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR equivalent experience.

Strategic Account Management IC5 - The typical base pay range for this role across the U.S. is USD $133,000 - $222,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $170,300 - $239,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.