About the internship:

Sigma is seeking a motivated and enthusiastic Partnerships Manager Intern to join our Partnerships team for the Summer of 2026. This 12-week internship offers a unique opportunity to gain hands-on experience in B2B and SaaS partner enablement, go-to-market strategy, and ecosystem collaboration. You will work directly with key internal teams and external partners, contributing to projects that have a direct impact on Sigma’s growth. 

This is a great opportunity for students with interest and / or past experience in B2B sales, marketing, or customer success.

Internship Program Qualifications:

Current student: 

• Applicants must be currently enrolled in a university undergraduate degree program in the U.S with a graduation date of December 2026 or later
• Able to intern from May / June 2026 through early August or September 2026

Authorization: 

• You must be legally authorized to work in the US during the Summer 2026 program
• Visa sponsorship is not available for our internship positions

Location: 

• Applicants must be able to work in-person in our office in San Francisco, CA for the duration of their internship.
• Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus. 

Key Responsibilities:

• Develop a comprehensive onboarding program for net-new ecosystem partners that accelerates co-sell opportunities and expands Sigma’s positioning in the market.
• Leverage AI and automation to streamline Partner Ground Game programming and partner-facing activities, improving efficiency and consistency across workflows.
• Conduct research and stakeholder interviews to capture insights on partner offerings, co-selling opportunities, and best practices.
• Collaborate cross-functionally with Partnerships, Enablement, Sales, and Product to align partner motions with field needs and product priorities.
• Build practical content and resources that drive partner engagement and enable internal teams to execute effectively.
• Track and measure the impact of the partner motion, including influence on SQL (Sales Qualified Lead) generation and partner-sourced outcomes.
• Support the planning and execution of Partner Enablement and Partner Appreciation events across the ecosystem.
• Present findings, outcomes, and recommendations to leadership at the conclusion of the internship.

Qualifications:

• Current undergraduate student (preference for rising seniors) pursuing a degree in Business, Communications, Marketing, Analytics, or Data Engineering.
• Strong communication, research, and organizational skills.
• Ability to build relationships and work collaboratively across teams internally and externally
• Problem solver with a proactive and results-oriented mindset
• Open to learning new tools and technologies
• Interest in partnerships, business development, and the data analytics industry a plus
• Strong project management skills, with the ability to manage multiple projects simultaneously and meet deadlines.
• Familiarity with data visualization or analytics tools is a plus
• Experience in business development or partnerships is a plus
• Able to commit 40 hrs a week for 12 weeks in-person in our San Francisco, CA office

Why Join Sigma?

• Gain practical experience in a fast-growing SaaS company.
• Work directly with industry-leading partners and cross-functional teams.
• Opportunity to impact Sigma’s go-to-market strategy.
• Professional mentorship and career development support.
• Fun and inclusive company culture with networking and learning opportunities.

Additional Job details

Interns at Sigma are compensated with an hourly rate and relocation bonus (where applicable). Our hourly rate for this role is $36.00 - $40.00 per hour.

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.   

Come join us!

Benefits For Our Full-Time Employees:

• Equity                                                                                                 
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). 

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.