AI Advisory Consultant

Scale AI

New York, San Francisco (NY, CA)

On-site

USD 141,600 - 177,000

Full time

14 days+
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Benefits offered by this job

Equity
Health insurance
Dental coverage
Vision coverage
Retirement benefits
Learning stipend
Generous PTO
Commuter stipend

Job summary

Scale AI is seeking an Advisory Consultant in New York to sit at the center of engagements, partnering with a Principal to deliver research, synthesis, and workshop materials. You will own timelines, trackers, and coordination across Solutions Engineering and Design to ensure a unified client story from kickoff to final readout.

You will develop research and supporting materials for pre‑sales conversations and help build vertical thought leadership, while turning engagements into reusable,

Qualifications

  • Experience at a Tier-1 firm (McKinsey, Bain, BCG) with 3+ years of work experience.
  • Structured, analytics-driven problem solving and strong point of view development.
  • Clear, exec-ready written deliverables with minimal edits.
  • Ability to manage multiple workstreams, maintain trackers and attention to detail under time pressure.
  • Curiosity about engineering architecture and ability to challenge technical leads when needed.
  • Hands-on use of GenAI in daily work to accelerate delivery.
  • Strong commercial sense: ROI articulation and upsell opportunities for Account Executives.
  • Willingness to travel 30-60%, including international trips as needed.

Responsibilities

  • Deliver core advisory work: market research, impact sizing, synthesis, and workshop materials with the Principal.
  • Manage engagement day-to-day: timelines, trackers, and cross‑team coordination to keep the engagement on track from kickoff to readout.
  • Build a case for client conversations and contribute to vertical thought leadership.
  • Turn engagements into reusable knowledge through debrief notes and hand-offs.
  • Develop AI workflows and templates to automate status tracking, recaps, and readouts.

Skills

Consulting experience
Analytical problem solving
Excellent communication
Organization across workstreams
Technical credibility
GenAI experience
Business acumen
Travel willingness

Job description

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.

As an AI Advisory Consultant, you sit at the center of every engagement — paired with a Principal, producing the research, synthesis, impact sizing, and workshop materials that shape the work, and pressure-testing the team's assumptions. You also run the engagement day-to-day — owning the timelines, trackers, and coordination across Solutions Engineering and Design, and acting as the single source of truth that keeps everything on track from kickoff to final readout. This is a delivery role; you own real parts of the advisory work and partner closely with the Principal to deliver the engagement. It's a direct path into the AI Advisory Principal track.

What You'll Own
  • Deliver the core advisory work. You 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. You 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. Working closely with the Solutions Engineering workstream, you weave their technical and feasibility findings into the readouts so the engagement tells one coherent story.
  • Build the case ahead of client conversations. You 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. You own the debrief notes, findings write‑ups, and structured hand‑offs after each engagement, and you contribute the patterns and materials that improve the motion and playbook.
  • Build the AI workflows that make us faster. You spot where the team's work can be automated or templatized — recaps, status tracking, synthesized readouts, reusable materials — and you build those AI‑powered solutions, not just flag them. You also set up baseline measurement and tracking.
Qualifications

Ideally, you’d have

  • 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. You are 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. You think in business levers. You 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‑to‑1 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.
Compensation and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on location and other factors. You’ll receive a competitive base salary of $141,600–$177,000 USD, equity, comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and possibly a commuter stipend.

Equal Opportunity Statement

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal‑opportunity workplace. 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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

We comply with the United States Department of Labor’s Pay Transparency provision.

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