Product Manager Intern

Docusign•San Francisco, CA

1d•Hybrid

About The Position

Docusign is seeking an Intern Product Manager to help define features, streamline workflows, and explore AI-powered capabilities for its go-to-market (GTM) and sales systems. The intern will work with senior product managers, GTM Operations, engineers, designers, and data and AI specialists to gather requirements, shape the roadmap, support launches, and measure impact on business outcomes. This is a three-month internship and an individual-contributor role reporting to the Sr. Manager, Business Applications. The position is hybrid, with access to an office required and an expectation of at least two in-office days per week. The role focuses on improving GTM and sales workflows and systems, including identifying opportunities for AI-driven automation, supporting prototypes, and assessing product usage and business metrics. Applicants must already be authorized to work in the United States on a full-time, permanent basis without current or future visa sponsorship. The role is not eligible for employment in Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, or Wyoming.

Requirements

Currently pursuing a bachelor's or master's degree in Computer Science, Artificial Intelligence, Engineering, Business, or a related field.
Expected graduation in December 2027 or May/June 2028.
Experience with the Software Development Lifecycle (SDLC) and Product Management Lifecycle.
Experience with tools such as Lucid, JIRA, reports and dashboards, and Confluence.
Experience with Google Suite.
Conceptual understanding of supervised or unsupervised learning, large language models (LLMs), retrieval-augmented generation (RAG) architecture, and embeddings; deep coding is not required, but architectural understanding is essential.
Must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship.

Nice To Haves

Strong analytical and problem-solving skills, including the ability to break down complex processes.
Self-starter mindset with strong organizational skills and attention to detail.
Excellent written and verbal communication skills, including comfort conducting interviews and presenting to stakeholders.
Studies in Computer Science, Artificial Intelligence, Engineering, Business, or a related field.

Responsibilities

Conduct user research to understand pain points and opportunities in GTM and sales workflows.
Select and optimize technical tools and potential AI solutions to improve productivity and solve complex problems, while fostering a culture of learning.
Document product requirements and translate business needs into clear user stories and acceptance criteria.
Support product roadmap planning and prioritization in partnership with the applications team.
Identify areas for improvement and AI-driven automation.
Apply conceptual understanding of AI or machine learning and systems thinking to orchestrate AI microservices across core enterprise platforms, using data reasoning and context engineering to guide analysis and delivery.
Collaborate with application and engineering teams to build AI prototypes.
Contribute to requirements workshops and feedback sessions, capturing inputs and aligning on expected outcomes.
Collect, organize, and analyze product usage and business metrics, such as adoption, operational efficiency, and customer satisfaction.
Partner with design and engineering teams to clarify requirements and keep stakeholders aligned on status and timelines.