Marketing Intern

About the Role

This is a six-month paid internship focused on Developer Growth and API Marketing. You will help developers discover AI models, build with APIs, and become active, paying users. You will work closely with product and engineering teams.

Key Responsibilities

• Developer Sign-ups and Product Usage:
• Support campaigns introducing developers to speech and language AI products.
• Promote API credit programs, encourage new users, and provide follow-up content.
• Content Creation and Search Visibility:
• Create blogs, use-case stories, how-to guides, demo videos, and launch content.
• Improve discoverability through search engines and AI search.
• User Engagement and Paid Adoption:
• Review the new-user journey and identify areas for improvement.
• Create welcome emails, product tips, and follow-up campaigns to encourage continued usage and paid adoption.
• Meetups and Developer Challenges:
• Help run meetups, hackathons, campus activities, and internship challenges.
• Coordinate outreach, assets, and follow-ups.
• Partnerships and Marketplace Promotion:
• Research relevant partners and marketplaces.
• Prepare product listings and campaign content, and coordinate promotional activities.
• Track users and product usage from these initiatives.
• AI Model Awareness and Downloads:
• Promote language models through content, demos, and developer communities.
• Improve model listing pages and track downloads and visits.
• Social Media and Influencer Marketing:
• Help plan and manage the social content calendar.
• Write posts, develop engaging content from launches and stories, and coordinate short videos and visuals.
• Engage with comments, support creator outreach, and track mentions, reach, engagement, and platform visits.
• External Recognition and Research:
• Identify credible independent evaluations, rankings, and academic collaborators.
• Support outreach, gather submission information, and coordinate follow-ups.
• Convert approved results into social posts and marketing content.
• Campaign Reporting and Feedback:
• Test new content and outreach ideas.
• Maintain a simple performance dashboard and share insights.
• Capture user questions and feedback for improvement.

Marketing Analyst Intern - Voice AI Specific Responsibilities

• Collect, clean, and analyze marketing data from campaigns, website analytics, and lead generation channels.
• Build and maintain dashboards tracking key marketing KPIs including pipeline contribution, campaign ROI, web traffic, and content performance.
• Support competitive research, profiling players in the ASR, TTS, and Conversational AI space.
• Assist in audience segmentation and persona research.
• Contribute to sales and marketing reports for leadership.
• Track SEO performance, keyword rankings, and organic traffic.
• Support ABM (Account-Based Marketing) analysis.
• Maintain and update marketing databases, CRM records, and content performance logs.
• Research industry trends in enterprise AI, BFSI, healthcare, and telecom.
• Assist in preparing market sizing estimates and opportunity maps.

Requirements & Tech Stack

• Experience: 0-1 year of experience in marketing analytics, business analysis, or a related field (internships count).
• Analytical Skills: Ability to synthesize information from multiple sources into clear, structured outputs.
• Data Handling: Proficiency in Excel or Google Sheets (pivot tables, data cleaning, basic modeling).
• Web Analytics: Familiarity with web analytics tools (Google Analytics, Search Console) or a strong willingness to learn.
• Communication: Strong written and verbal communication skills for preparing summaries and reports.
• Attention to Detail: Detail-oriented with a structured approach to data and research tasks.
• Technical Interest: Interest in AI, conversational technology, or enterprise SaaS markets.

Qualifications

• Pursuing or completed a degree in Marketing, Business, Economics, Statistics, or a related discipline.
• Preferred: Exposure to SQL or Python for data querying (even basic level).
• Preferred: Prior internship experience in a B2B SaaS, tech, or AI-adjacent company.
• Preferred: Familiarity with CRM tools such as HubSpot or Salesforce.
• Preferred: Experience building dashboards in Looker Studio, Tableau, or similar tools.

Key Technologies & Tools Mentioned

• AI Models
• APIs
• AI Search
• ASR, TTS, and Conversational AI
• Excel or Google Sheets
• Google Analytics, Search Console
• SEO
• ABM (Account-Based Marketing)
• SQL
• Python
• B2B SaaS, tech, or AI-adjacent company
• HubSpot or Salesforce
• Looker Studio, Tableau
• enterprise AI