Supports agency-wide AI adoption by coaching teams, creating prompts and playbooks, training employees on AI tools, prototyping workflow automations, building client-facing tools and dashboards, researching emerging platforms, and measuring operational impact. The intern collaborates with senior leadership and cross-functional teams in a hands-on, builder-focused role.
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.
Hourly Rate: $25 - $30, depending on experience
Location: This is a part-time, onsite role in our LA office - Culver City, CA
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
Similar Jobs
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides customer service and sales support in a luxury retail store. Responsibilities include welcoming clients, operating POS and cash wrap, suggesting products, processing shipments and transfers, maintaining stock levels, replenishing the sales floor, executing visual merchandising updates, supporting social media engagement, and following housekeeping and loss-prevention procedures. Requires flexible availability, physical ability to handle stockroom and sales-floor tasks, and strong communication and organizational skills.
Top Skills:
InternetIpadLaptopMobile PosPosWalkie-Talkie
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Develop and execute ASIC, FPGA, and SoC design verification activities using simulation, SystemVerilog, UVM, coverage analysis, debugging, requirements traceability, reusable verification infrastructure, and UVCs. Support integration and system-level investigations, contribute to coverage closure, communicate risks and dependencies, and progressively own verification scope of moderate complexity. Level II engineers develop independence, while Level III engineers independently manage assigned verification scope.
Top Skills:
AsicFpgaOopRtlSimulationSocSystemverilogUvcUvm
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Designs and supports ASIC, FPGA, and mixed digital systems for aerospace and defense programs. Responsibilities include requirements development, architecture support, HDL/RTL development, simulation, debugging, synthesis, FPGA implementation, timing analysis, verification collaboration, integration, troubleshooting, and technical status communication. The role may involve owning functional blocks, supporting subsystem efforts, and contributing to cross-functional technical leadership depending on experience level.
Top Skills:
AsicClock-Domain Crossing (Cdc)FpgaHdlRtlSocStatic Timing AnalysisVlsi
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
