AI Advisory Principal
About the role
Lead Scale's Advisory work end-to-end in your vertical, driving pre-sales, discovery, scoping, and delivery engagements as the Directly Responsible Individual. Build vertical point of view, grow playbooks, and coach consultants while shaping and selling advisory engagements to enterprise clients.
Responsibilities
- Lead engagements end-to-end as the Directly Responsible Individual on engagements—own client relationship, run workshops, lead final readout, drive direction, ensure outcome (use-case selection, SOW quality, delivery); coordinate and direct Solutions Engineers, Designers, Tech Leads, and DSGs without direct management.
- Sell Advisory in your vertical—build approach, lead advisory portions of pre-sales meetings, bring industry roadmap examples, qualify opportunities with Account Executives, represent Scale and Advisory at industry events.
- Build the vertical point of view—develop AI-shaped problems, best practices, technology learnings, and buyer-peer/competitor intelligence to make Advisory credible.
- Grow the playbook from the field—surface patterns, document reusable approaches, update advisory approach with feedback from build experiences with DSGs.
- Manage your Consultant—coach, provide feedback, own their professional development, and input on hiring.
Qualifications
- Senior manager or principal equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 7+ years of work experience; AI strategy or transformation experience strongly preferred.
- Scoping, proposal, and pitching experience—comfortable shaping and selling engagements, not just delivering them.
- Judgment to advise clients on where AI creates value—identify and shape AI-shaped use cases.
- Technical credibility to discuss AI builds and work with Solutions Engineers on feasibility.
- Classic consulting toolkit (strategy, operating-model, governance, change management, exec-ready storytelling) for AI strategy development.
- Experience designing and facilitating client workshops.
- Strong relationship-building with early trusted-advisor credibility and independent outcome ownership.
- Strategic yet hands-on: ability to think at client AI agenda level and dive into day-to-day engagement work.
- Willingness to travel 30-60 percent (may include international trips).
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- additional benefits such as a commuter stipend

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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