Scale’s Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world’s most important decisions. As an AI Deployment Strategist Intern, you will work alongside our DSG team, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will support deployment success and contribute foundational industry knowledge to our team, helping turn bold ideas into real impact and ensuring engagements run smoothly.
In this role, you will work directly with data, engineering, business, and AI leaders at some of the world’s top Enterprises. You will support projects from early scoping through delivery and expansion, contributing to measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. The outcome of a DSG Intern’s time at Scale should include tangible contributions to live enterprise accounts and the creation of structured intelligence artifacts that benefit the Enterprise Business Unit.
Interns will also participate in weekly sessions with DSG leaders, gain exposure to cross-functional teams across Engineering, Product, and GTM, and receive structured feedback throughout the program.
This is a fast-moving, high-impact internship that provides exposure to customer strategy, operations, product strategy and execution. You will work closely with DSGs who serve as the voice of the customer and support the execution of customer projects.
During the internship, you will contribute to:
- Client Leadership & Growth: Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value
- Flawless Delivery & Execution: Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes
- Strategic Account Expansion: Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact
- Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations teams while supporting operational improvements and delivery processes
- Strategic Feedback Loop: Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches
- Mastering Complexity & Ambiguity: Help bring structure and clarity to complex projects through research, analysis, and structured deliverables
Industry & Vertical Intelligence: Conduct outside-in research to develop structured insights on enterprise industries and AI opportunities, producing briefs that support account strategy and go-to-market efforts
Ideally, you’d have:
- Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field. Prior 4+ years of work experience in high-growth, high-ambiguity environments
- A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field)
- Exposure to GenAI solutions via your current role or personal projects
- A proven track record in building and expanding client relationships
- Ability to understand core AI / ML concepts and build great relationships with technical customers
- Great cross-functional experience and collaborative ability
- Excellent verbal and written communication skills
- A track record of structured, analytics-driven problem solving
- A history of diligence and organization across multiple work streams
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
Nice to have:
- Exposure to enterprise AI or data infrastructure products
- Deeper industry knowledge in healthcare, consumer, financial services
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this internship position in the locations of San Francisco, New York, Seattle is: $15,000 per month.
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, Cisco, DLA Piper, 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.
Top Skills
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
