AI Advisory Consultant
About the role
Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients.
Responsibilities
- Deliver the core advisory work. Produce the output the engagement runs on — market research, impact sizing, synthesis, and workshop materials — working alongside the Principal.
- Run the engagement day-to-day. Own the timelines, trackers, and single source of truth — monitoring open items and follow-ups across Solutions Engineering and Design, and keeping the engagement on track from kickoff to final readout.
- Build the case ahead of client conversations. Develop the research and supporting materials that set up pre-sales conversations to land, and support the Principal in building out vertical thought leadership.
- Turn each engagement into reusable knowledge. Own the debrief notes, findings write-ups, and structured hand-offs after each engagement, and contribute the patterns and materials that improve the motion and playbook.
- Build the AI workflows that make us faster. Spot where the team's work can be automated or templatized — recaps, status tracking, synthesized readouts, reusable materials — and build those AI-powered solutions, not just flag them. Set up baseline measurement and tracking.
Qualifications
- Consultant equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG) ideally; 3+ years of work experience.
- Experience on AI strategy or transformation projects strongly preferred.
- A track record of structured, analytics-driven problem solving — turning messy, ambiguous inputs into a clear, defensible point of view.
- Excellent communication — produces clean, exec-ready first drafts of findings and materials that need little editing.
- A history of diligence and organization across multiple workstreams — owns the trackers and details so nothing slips, even under time pressure.
- Technical credibility. No engineering degree required. Curious enough to push back on engineering leads when the architecture or the accuracy story doesn't hold up.
- Hands-on with GenAI in daily work — can point to concrete examples of using AI tools to work faster.
- Commercial instinct. Think in business levers. Articulate ROI without prompting and spot upsell logic the Account Executives missed.
- Willingness to travel 30-60 percent, which can include international trips depending on the account.
Nice to Have
- 0-to1 experience developing or deploying GenAI applications in an enterprise setting.
- Exposure to enterprise AI or one of Scale's target verticals (Consumer, Financial & Professional Services, Healthcare & Life Sciences).
- Experience designing and synthesizing design-thinking workshops.
Pay and Benefits
Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
About Scale
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.