Data Marketing Engineering Intern

Gesture•New York, NY

8d•Hybrid

About The Position

Gesture is a relationship technology company redefining how brands engage, convert, and retain customers through data-driven, real-world experiences. Our flagship platform, Reach360, enables brands to execute what we call Tangible Personable Marketing—combining the precision of digital targeting with the emotional impact of physical delivery. Unlike traditional MarTech, Gesture owns the entire ecosystem: first-party data, intelligent audience selection, logistics execution, real-time performance tracking, and continuous optimization. On the consumer side, Gesture operates a rapidly growing mobile platform that allows people to send meaningful physical gestures instantly—creating powerful moments while generating rich behavioral data that strengthens everything we build. Gesture is investing aggressively in AI-driven intelligence to power the next generation of marketing and commerce using a gift-centric approach. Our roadmap focuses on: We’re building intelligence that anticipates, adapts, and compounds—predicting intent, optimizing campaigns in real time, and delivering deeply personalized experiences driven by real-world behavior, all through systems that continuously learn and improve with every interaction. This is not surface-level automation. We’re building intelligence directly into the core of how campaigns are planned, executed, and measured—at scale. A passionate and driven Data Marketing Engineering Intern who wants to work at the intersection of data engineering, marketing analytics, and AI-powered systems. This role supports both our B2B and consumer platforms and plays a direct role in how data turns into decisions, performance, and growth. You’ll work closely with data, marketing, and product teams to build the pipelines and tooling that power targeting, attribution, optimization, and experimentation.

Requirements

Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Marketing Analytics, or a related field.
Strong programming skills in Python, SQL, or R for data processing and analysis.
Experience with data visualization tools (Tableau, Power BI, or Google Data Studio).
Familiarity with APIs and tools like Google Analytics, HubSpot, Salesforce, or similar marketing platforms.
Understanding of data warehousing concepts and relational databases.
Strong problem-solving skills and attention to detail.
Strong attention to detail and ability to interpret data for business insights.
Ability to work in a fast-paced environment and collaborate across teams.
Excellent communication skills and the ability to present findings clearly.
Self-motivated, eager to learn, and capable of working in a fast-paced environment.

Nice To Haves

Knowledge of cloud-based data services (AWS, Google Cloud, Azure) is a plus.

Responsibilities

Designing and maintaining data pipelines across marketing, product, and logistics systems
Automating analytics and reporting workflows used by growth and marketing leaders
Supporting data structures used for personalization, prediction, and optimization
Integrating MarTech tools with internal data infrastructure
Turning complex datasets into clear, actionable insights
Assist in automating marketing data workflows and integrating data sources into cloud-based platforms (e.g., AWS, Google Cloud, Snowflake)
Assist in measuring campaign performance, customer engagement, and ROI using key metrics.
Analyze large datasets to uncover customer insights and campaign performance metrics.
Collaborate with marketing teams to improve audience segmentation and personalized marketing efforts.
Assist in A/B testing, attribution modeling, and predictive analytics for marketing optimization.
Work with APIs to extract, clean, and structure marketing data for analysis and reporting
Stay updated on data engineering best practices and emerging MarTech trends.
Generate reports and dashboards to track trends, customer behavior, and marketing effectiveness.
Support the implementation and optimization of marketing analytics tools and dashboards
Conduct market research and competitor analysis to identify new opportunities.
Collaborate with the marketing and product teams to enhance customer segmentation and targeting efforts.
Assist in creating data visualizations and presentations for stakeholders.
Develop and maintain ETL pipelines to collect and transform marketing data from various platforms (Google Analytics, CRM, social media, etc.).
Stay up to date with industry trends, digital marketing best practices, and emerging data analysis techniques.

Benefits

Professional Growth & Mentorship make this internship transformational — the kind of experience that looks elite on a resume and helps to build a great personal brand critical to your personal development and career growth.
1:1 Mentorship with Executives: Direct access to senior leadership (including you or divisional heads like Product, Ops, and Engineering) for biweekly growth sessions.
Founders’ Roundtable: Interns attend exclusive fireside-style meetings with Gesture’s CEO and leadership team about startup strategy, fundraising, and scaling.
AI Playground Access: Safe sandbox for interns to experiment with AI tools for content creation, data, and storytelling.
Leadership Lunch Series: Informal weekly sessions with team leaders about what it takes to run a $100M tech company.
Gesture Email & Workspace: Real team access — not “intern-only” accounts — so they feel part of the company from day one.
Intern of the Month Spotlight: Featured across Gesture’s LinkedIn and internal newsletter.
CEO Dinner Experience: Top interns get invited to a private dinner or networking event hosted by you and the leadership team.
Make a Gesture Day”: Each intern receives credit to send a surprise gift to someone they admire — living the company mission firsthand.
Gesture swag pack, exclusive branded gear (hoodie, water bottle, or cap)
Beautiful HQ Experience: Modern New York office with creative work zones, media studio, and collaboration spaces.
Paid Team Lunches or Coffee Hours: Casual networking with leadership and cross-department peers.