AI Advisory Consultant

United States Digital Space LLC; New York, San Francisco (NY, CA); On-site; USD 142,000 - 177,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Equity participation

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking an Advisory Consultant to shape AI strategy for enterprise clients, paired with a Principal, delivering research, impact sizing, and workshop materials that guide engagements from kickoff to readout.

You will own day-to-day delivery, coordinate across Solutions Engineering and Design, and help build scalable AI workflows to accelerate engagements while ensuring accuracy and timely delivery.

Qualifications

• 3+ years of consultant-equivalent experience (Tier 1 firms preferred).
• Experience on AI strategy or transformation projects strongly preferred.
• Structured, analytics-driven problem solving to form defensible POVs.
• Excellent communication and exec-ready drafting of findings.
• History of diligence and organization across multiple workstreams.

Responsibilities

• Deliver the core advisory work: market research, impact sizing, synthesis, and workshop materials.
• Run the engagement day-to-day: manage timelines, trackers, and cross-team coordination from kickoff to readout.
• Build the case ahead of client conversations to land pre-sales discussions.
• Turn engagements into reusable knowledge with debrief notes and templates.
• Develop AI workflows to automate or templatize recurring tasks and set up baseline measurements.

Skills

Consultant experience

AI strategy experience

GenAI hands-on

Executive communication

Multi-workstream org

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

You're at the center of every engagement — doing the work and keeping it on track.

• 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 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 work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to:

• comprehensive health, dental and vision coverage
• retirement benefits
• a learning and development stipend
• generous PTO
• a commuter stipend

Additionally, this role may be eligible for additional benefits such as a commuter stipend.

For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is:

\$141,600—\$177,000 USD

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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 [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.