Data-Hat AI→
GTM Intern AI Retail / Agentic Systems at Data-Hat AI in San Jose, CA
InternshipHybridSan Jose, CA
Skills
product managementbusiness developmentgtm campaignscustomer researchmarket researchprd writingworkflow automationsqlcrm toolsnotionjirafigmacanvagoogle workspaceanalytical judgmentownership mindset
Job Description
Summary: Data-Hat AI is building AI agents and data intelligence products for retailers and brands, focusing on fashion, beauty, and omnichannel retail. The GTM Intern will work directly with the CEO and senior team to turn ambiguous inputs into clear requirements, campaigns, and execution plans, while also conducting market research and supporting product management tasks.
Responsibilities:
- 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
- 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
- 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
- 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
- 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 Qualifications:
- 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 Qualifications:
- 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
Required Skills: Product management, Business development, GTM campaigns, Customer research, Market research, PRD writing, Workflow automation, SQL, CRM tools, Notion, Jira, Figma, Canva, Google Workspace, Analytical judgment, Ownership mindset