GTM Intern AI Retail / Agentic Systems

Data-Hat AI is building AI agents and data intelligence products for retailers and brands, with an initial focus on fashion, beauty and omnichannel retail. Our product, Orkestra AI, helps business and merchandising teams improve sell-through, reduce stockouts, reduce markdowns and make better SKU, store and product decisions using AI, data and domain-specific workflows.

We are looking for a high-calibre MBA or post-MBA candidate who can operate across product, GTM, business development, AI tooling and project execution.

This is not a traditional internship. The person will work directly with the CEO and senior team on live product, customer, GTM and investor priorities.

Role

GTM - Business Development - Product Intern AI Retail / Agentic Systems

• Founder’s Office Internship: GTM & AI Project and Product mgmt
• MBA AI Product Strategy & GTM
• Product Strategy & Business Development

Location

San Jose / Silicon Valley preferred. Hybrid or remote possible for an exceptional candidate.

Type

Full-time internship.

Expected duration: 10–12 weeks minimum; 6 months preferred. Can turn into a full time permanent role.

Role Summary

You will act as a business execution partner for Data-Hat AI.

You will help turn ambiguous founder, customer and market inputs into clear requirements, GTM campaigns, business development workflows, investor/customer collateral and execution plans for internal teams.

The ideal candidate is a business athlete: structured, fast, analytical, comfortable with AI tools, and able to move between product thinking, customer discovery, market research, project management and hands-on execution.

You should be comfortable working in an early-stage AI startup where priorities move quickly, documentation matters, and output quality is judged by whether it helps the company ship product, win customers, raise capital and move faster.

Key Responsibilities1. AI-Based GTM & Business Development

• Use AI tools to build and improve outbound GTM workflows.
• Research target retailers, brands, executives, investors and strategic partners.
• Build prospect lists using tools such as Apollo, Clay, LinkedIn, Perplexity, ChatGPT, Claude and similar platforms.
• Create personalised outreach sequences for email and LinkedIn.
• Draft and test customer messaging, sales narratives, one-pagers, decks and follow-up emails.
• Build account intelligence briefs for high-priority prospects.
• Support campaigns targeting fashion, beauty, retail, ecommerce and omnichannel operators.
• Track campaign performance, improve messaging and document learnings.

2. Customer, Market & Competitive Research

• Research market categories including retail AI, merchandising systems, allocation, replenishment, forecasting, pricing, product intelligence and agentic AI.
• Benchmark competitors and adjacent products.
• Turn research into short, useful memos for product and GTM decisions.
• Identify pain points by role: Chief Merchandising Officer, Head of Retail, COO, CTO, ecommerce leader, planning/allocation leader and founder/CEO.
• Translate market insights into stronger positioning and product requirements.

3. Product Management & Requirements

• Convert customer problems, founder direction and market insights into clear product requirements documents.
• Create and maintain PRDs for AI agents, retail workflows, product intelligence, Store DNA, replenishment, rebalancing, pricing, forecasting and merchandising modules.
• Break high-level product ideas into user stories, workflows, test cases and acceptance criteria.
• Work with engineering and AI teams to clarify scope, priorities, edge cases and expected outputs.
• Review prototypes and demos, identify gaps, and convert feedback into structured product tasks.
• Help define product metrics, demo narratives and customer-facing use cases.
• Maintain product documentation in Notion or similar tools.

4. Founder’s Office & Strategic Execution

• Support CEO priorities across product, fundraising, BD, partnerships and customer conversations.
• Help prepare investor lists, investor briefs, fundraising narratives, one-pagers and pitch materials.
• Create structured meeting briefs before customer, investor and partner calls.
• Convert meeting notes into follow-ups, product tasks and GTM actions.
• Maintain execution trackers for product, GTM and fundraising workstreams.
• Help prioritise what matters now versus what should be deferred.

5. Project & Team Management

• Maintain Notion, Kanban boards, task lists and weekly execution plans.
• Coordinate with engineering, product, design, data and business contributors.
• Ensure tasks are clear, owners are assigned and deadlines are tracked.
• Create weekly progress updates for the CEO and team.
• Help turn product strategy into steady operating cadence.
• Identify blockers early and escalate them clearly.

Required Profile

We are looking for a current MBA student, recent MBA graduate, or post-MBA operator with strong execution skills, or Computer Science student/graduate who has very strong business skills.

Required:

• MBA/MS, business analytics, product, strategy, computer science, engineering or equivalent background.
• Strong written and spoken communication in English (must-have).
• Ability to structure ambiguous problems quickly.
• Comfort using AI tools for research, analysis, writing and workflow automation.
• Strong analytical and commercial judgment.
• Ability to work directly with a founder/CEO.
• Comfortable operating in a fast-moving startup environment.
• Strong ownership mindset and bias toward action.
• Ability to manage multiple workstreams without losing detail.
• Interest in AI, retail, fashion, beauty, ecommerce, data or enterprise SaaS.

Preferred:

• Prior experience in consulting, product management, startups, ecommerce, retail, venture, enterprise software or data/AI.
• Familiarity with tools such as ChatGPT, Claude, Perplexity, Apollo, Clay, LinkedIn Sales Navigator, Notion, Jira, Linear, Figma, Canva, Google Workspace and CRM tools.
• Experience writing PRDs, product specs, user stories or business cases.
• Experience with GTM, outbound sales, investor research or business development.
• Basic understanding of data, APIs, analytics, SQL or AI workflows.
• Exposure to Shopify, ecommerce platforms, retail operations or merchandising is a plus.

Skills We Value

• Structured thinking
• Clear writing
• Product judgment
• Commercial instinct
• AI fluency
• High agency
• Speed with quality
• Comfort with ambiguity
• Strong follow-through
• Ability to simplify complexity
• Practical execution over theoretical strategy

What This Role Is Not

This is not a passive internship.

This is not a market research-only role.

This is not a shadowing role.

This is not a generic business development internship.

The person will be expected to produce usable work every week and operate as part of the business/product execution layer of the company.

Why Join

You will work directly with the CEO of an AI startup building agentic systems for retail, fashion and beauty. You will get exposure to product strategy, AI agents, customer discovery, enterprise GTM, investor materials, product management and startup execution.

For the right person, this is a chance to operate like an early product/business hire, not a traditional intern.

Application Requirements

Please submit:

• Resume and LinkedIn profile.
• Short note explaining why you are interested in AI, retail or startups.
• One writing sample, product document, business memo, analysis, deck, GitHub/project link or example of work you are proud of.
• Optional: examples of AI tools or workflows you have used to improve research, GTM, productivity or product development.

Interview Process

1. 20–30 minute introductory conversation.
2. Short written or practical assignment.
3. Working session with the CEO or product/business team.
4. Final decision.