Build and deploy AI tools, automations, scripts, training materials, and dashboards that improve agency workflows and client engagements. Coach teams on AI-assisted processes, research emerging tools, prototype solutions, measure efficiency gains, support internal training, and collaborate with leadership and account teams. The role emphasizes practical delivery, experimentation, communication, organization, and cross-functional collaboration rather than research.
AI Business Strategy & Operations Intern
The Role
You'll work directly with senior leadership to accelerate AI adoption across the agency in a hands-on, builder-focused role. This isn't research — you'll ship tools that account teams, media operators, and clients use in their day-to-day work.
What You'll Do
- AI enablement across the agency. Coach teams on AI-assisted workflows that compress execution time. Build a reusable library of prompts, templates, and playbooks for media, creative, analytics, and account teams.
- Hands-on AI tool training. Design and run training sessions on modern AI coding and automation tools. Ship small tools and scripts that team members can run themselves.
- Automation enablement. Identify repetitive workflows on account teams, prototype automations, help bring them into daily use, and measure time saved.
- AI in client engagements. Scope and help build purpose-built AI tools that integrate into client workstreams alongside account leads — for example, competitive intelligence sweeps, creative QA, or vertical benchmarking.
- Dashboards & reporting. Build dashboards across the agency — team performance views, client-facing reporting, and operations views for leadership.
- Internal trainings & operations. Support company-wide AI training initiatives and day-to-day operations, helping refine and improve the program over time.
- AI & tool research. Research and test new AI tools and platforms. Identify what could move the business forward, then help pitch, scope, and pilot the most promising ones.
What You'll Get
- Direct exposure to how an AI-forward agency builds tools and pitches clients
- Hands-on experience building AI-powered systems that paying clients actually use
- Mentorship from senior agency leadership
- A portfolio of shipped automations, tools, and dashboards you can point to
What We're Looking For
- Currently pursuing or recently completed a degree in Business, Computer Science, Data Analytics, Marketing, or a related field
- Genuine curiosity about AI tools and how they can change the way work gets done — you use them already and want to go deeper, not just dabble
- Comfort picking up new tools quickly and experimenting without a lot of hand-holding
- Strong written and verbal communication skills; able to explain a technical idea to a non-technical teammate
- Highly organized and self-directed — able to manage several small projects at once and follow through without heavy oversight
- Collaborative, low-ego approach to working across teams with different priorities and levels of AI fluency
- Some exposure to scripting, light coding, or workflow automation is a plus, but not required — we care more about your ability to learn than your current skill set
- Comfortable in a fast-paced, still-figuring-it-out environment where the role will evolve as the program matures
Direct Agents New York, New York, USA Office
149 5th Ave, 16th Floor, New York, NY, United States, 10010
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads Mastercard’s enterprise data architecture strategy across hybrid cloud and on-premises environments. Defines secure, resilient, compliant architecture standards; modernizes legacy platforms across AWS, Azure, and GCP; and advances Data Mesh, real-time streaming, batch analytics, and AI-enabled data capabilities. Serves as a senior technical authority and executive advisor, evaluates emerging technologies, drives architecture governance, and mentors global engineering teams.
Top Skills:
Agent-Based ArchitecturesAi-Enabled Data PlatformsApache FlinkApache KafkaApache NifiSparkAWSAzureData MeshDatabricksDelta LakeGCPSnowflake
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop and implement marketing strategies and campaigns for global clients using customer data, technology, and direct marketing expertise. Analyze campaign performance, identify findings, prepare presentations, deliver recommendations, support project workstreams, lead meetings, and build trusted client relationships. Consultants collaborate with senior delivery teams, contribute to project management and intellectual capital, and manage multiple client engagements in a fast-paced environment.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft WordPower BISemSeoTableau
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads Mastercard’s Partner Advantage Program end to end, including partner onboarding, tier management, KPI tracking, compliance, risk management, reporting, stakeholder communication, and process improvement. Coordinates internal teams and external partners, establishes governance, manages escalations, prepares executive updates, and improves playbooks, SLAs, workflows, and program scalability.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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
