Toptal
VP, AI Services - US-Based
North America · Vp · Full-time
No sponsorshipDetected 37 days ago
AWSAzureMachine LearningLLMsLeadershipCommunicationCollaborationPublic Speaking
About the role
- We are a managed service provider (MSP) at the forefront of AI-driven IT service transformation.
- This is a client-facing leadership role that sits at the intersection of artificial intelligence, ITIL best practices, and ServiceNow - and is central to our growth strategy.
- This role reports directly to the CEO of Services and carries P&L accountability for the AI Services practice.
Responsibilities
- Develop repeatable service offerings and delivery frameworks that apply AI to ITIL processes - including Incident Management, Problem Management, Change Enablement, Service Request, and Knowledge Management - across a diverse client base.
- Build internal IP: playbooks, accelerators, and pre-configured AI assets on ServiceNow that reduce time-to-value for clients.
- Serve as the executive-level AI advisor to key clients, engaging C-suite and IT leadership stakeholders to assess maturity, identify opportunities, and co-create AI-driven ITSM roadmaps.
- Lead discovery workshops and maturity assessments to baseline clients' current ITSM and AI capabilities.
- Maintain trusted advisor relationships across a portfolio of accounts, ensuring client satisfaction and identifying expansion opportunities.
Requirements
- Bachelor's degree is required.
- 10+ years of IT services experience, with at least 5 years in a senior leadership role within a managed service provider, systems integrator, or IT consulting firm.
- Hands-on expertise with ServiceNow - ITSM Pro, ITOM, Virtual Agent, or Now Assist - at an architect or delivery leadership level.
- Demonstrated experience applying AI, automation, or ML within ITSM or IT Operations environments for enterprise clients.
- Experience engaging and influencing C-suite stakeholders, including presenting investment cases and managing executive relationships.
- P&L management experience with accountability for practice revenue, margin, and utilization targets.
- Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.
- You must be a world-class individual contributor to thrive at Toptal.
- Familiarity with LLMs, generative AI APIs (OpenAI, Azure OpenAI, Anthropic), and prompt engineering in enterprise contexts.
- Experience with AIOps platforms (Moogsoft, BigPanda, Dynatrace) and their integration with ServiceNow.
Nice to have
- Deep, applied knowledge of ITIL v4 frameworks
- ITIL Managing Professional or Strategic Leader certification strongly preferred.
Skills
- Champion a shift-left philosophy through AI-driven self-service, knowledge deflection, and automated resolution for clients.
- Establish governance and measurement frameworks (KPIs, SLAs, OLAs) for AI-enhanced ITSM processes delivered to clients.
- Represent the company at industry events, conferences, and ServiceNow communities as a thought leader in AI-powered ITSM.
Compensation
- With $200+ million in annual revenue and team members based around the globe, Toptal is the world's largest fully remote workforce.
Benefits
- Learn about Toptal's history, culture, and vision, with a focus on the state of our industry, the Future of Work, and the core messages important to Toptal.
- This position receives a base salary and is eligible to earn both a quarterly discretionary bonus based on the achievement of assigned objectives and monthly commissions based on revenue generated from engagements sold.
- Own the vision, strategy, and P&L for the AI Services practice, establishing it as a differentiated, revenue-generating offering within our MSP portfolio.
Company info
- Grow and operate a profitable AI Services practice.
- Continue to grow the revenue line.
- Ensure the practice is recognized externally as a differentiator in the company's MSP positioning.
Visa & Work Authorization
- Applicants must be authorized to work in the US at the time of hire.
This listing is sourced directly from Toptal's careers page and normalized into a canonical job model.