2 дня назад
Intern, Marketing (Data Science) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern, Marketing (Data Science) (AI): Building marketing analytics capabilities and AI agents that connect to GTM data and business tools, with an accent on marketing intelligence, automation, and data quality. Focus on analyzing pipeline and revenue performance, prototyping agents with frontier models, and turning ambiguous business questions into measurable recommendations.
Location: Onsite at ’s Scottsdale headquarters, five days per week
Company
provides an AI-powered, conversation-centric customer experience and team collaboration platform for businesses.
What you will do
- Analyze marketing, pipeline, and revenue performance to identify trends, risks, and opportunities.
- Support deep-dive analyses of ambiguous business questions and translate findings into recommendations for marketing leadership.
- Build agentic workflows using Cursor, Claude, OpenAI, and other frontier models.
- Connect AI agents to HubSpot, Salesforce, the data warehouse, Google Analytics, Teams, Slack, and internal APIs.
- Prototype, deploy, iterate, and measure AI-assisted analysis workflows for traffic intelligence, lead qualification, opportunity surfacing, and optimization.
- Help improve the scalability, trustworthiness, and quality of the marketing data ecosystem with Marketing Ops, RevOps, BI, and Finance.
Requirements
- Current student or recent graduate in Computer Science, Data Science, Statistics, Marketing Analytics, or a related technical field.
- At least one internship or substantial academic or personal project in analytics, data science, or applied AI.
- Comfort with Python and SQL.
- Experience independently building and shipping AI projects.
- Interest in marketing, sales, and the go-to-market side of a software business.
- Ability to work onsite at the Scottsdale headquarters five days per week.
Nice to have
- Experience with Tableau, Looker, Power BI, CRM, or marketing automation tools.
- Exposure to modern data warehouses or analytics engineering concepts.
- Experience with attribution modeling, funnel analysis, forecasting, B2B SaaS, or GTM analytics.
Culture & Benefits
- Collaborative, customer-focused environment centered on clear decision-making and meaningful business impact.
- Medical, dental, vision, telemedicine, life, disability, and supplemental insurance options.
- Flexible time off or PTO, paid sick time, parental bonding leave, and holiday pay.
- 401(k) with company match, health savings accounts, and dependent care FSA.
- Wellness programs, employee assistance, learning opportunities, and career development.
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