Job Description
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com.
As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.
Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.
About the Role
Join Amplitude’s Enterprise Data and Insights team for a 12-week immersive internship at the intersection of data analytics and generative AI. You’ll work alongside senior data scientists, analysts, and AI engineers to solve real business problems using both traditional analytics and cutting-edge AI techniques. This isn’t a passive learning experience — you’ll contribute to live projects from day one.
As an Enterprise Data & AI Intern, you will:
- Design and build dashboards and data pipelines that surface insights for stakeholders, including writing SQL queries against large datasets and contributing to data models in our analytics stack.
- Work on applied GenAI initiatives such as prototyping LLM-powered tools for internal workflows and exploring retrieval-augmented generation (RAG) architectures.
- Gain hands-on experience with tools including Snowflake, DBT, Glean, and Workato, as well as prompt engineering and AI evaluation frameworks.
- Partner with business teams to translate ambiguous questions into structured analyses and communicate data-driven recommendations to non-technical audiences.
- Participate in sprint planning, standups, and design reviews, culminating in a final project presentation showcasing the impact of your work over 12 weeks.
You’ll be a great addition to the team if you have:
- Foundational SQL skills and working knowledge of Python, including libraries such as pandas and numpy.
- Curious about how AI is reshaping how companies use data, with a bias toward learning by building.
- Exposure to tools like dbt, Snowflake, LangChain, OpenAI APIs, or BI tools such as Looker or Tableau is a plus but not required.
- Strong communicator who asks good questions, documents their work clearly, and is comfortable diving into ambiguous problems.
At a minimum, you’ll need:
- Currently pursuing a degree in Computer Science, Data Science, Statistics, Information Systems, or a related technical field.
- Ability to commit to 40 hours per week for the full 12-week summer program, with availability to relocate to San Francisco and work from our HQ on a hybrid schedule (2–3 days in-office per week).
- Cross-functional communication by clearly presenting your contributions and their impact at the final project presentation.
By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice.
Staying Safe - Protect Yourself From Recruitment Fraud
We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @ amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article . Please exercise caution and cease communications if something feels suspicious about your interactions.
