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 OwnYou'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.
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-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.
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. 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.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- Consultant-equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG) or equivalent
- 3+ years of work experience
- Experience on AI strategy or transformation projects
- Structured, analytics-driven problem solving
- Excellent written and verbal communication; produces exec-ready drafts
- Diligence and organization across multiple workstreams (owns trackers and details)
- Technical credibility and ability to engage engineering leads
- Hands-on experience using GenAI/AI tools in daily work
- Commercial instinct and ability to articulate ROI and upsell logic
- Willingness to travel 30-60% (may include international trips)
- 0-to-1 experience developing or deploying GenAI applications in enterprise settings
- Exposure to enterprise AI or target verticals (Consumer, Financial & Professional Services, Healthcare & Life Sciences)
- Experience designing and synthesizing design-thinking workshops
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
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Equity Value & Accessibility — Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
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Leave & Time Off Breadth — Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
