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Solutions Engineer Intern 2027 (USA)

Pinterest

San Francisco, Ca · hybrid · internship · Intern

$90,000 - $114,000

About the Role

Pinterest's Solutions Engineer Interns work at the intersection of engineering, data, advertising and revenue. Interns contribute to scoped technical projects that improve tools, workflows, integrations and support experiences for internal teams, advertisers and partners.

The role offers hands-on experience in coding, debugging, data analysis, automation, documentation and system design, alongside engineers, analytics specialists, product stakeholders and go-to-market teams. Responsible AI-assisted work includes judgment, verification and ownership of results.

Responsibilities

  • Complete assigned technical projects with attention to quality and incorporate feedback from mentors, managers and peers.
  • Execute scoped technical tasks end-to-end that contribute to Pinterest products and infrastructure.
  • Build, test, debug and improve code, scripts, automations, internal tools and data workflows with guidance from experienced engineers.
  • Investigate issues using logs, data, documentation and structured troubleshooting; identify root causes, validate solutions and communicate findings.
  • Participate in scheduled engineering on-call coverage during regular workdays and working hours, with experienced engineers providing guidance on issue triage and documentation.
  • Collaborate with Engineering, Product, Sales, Operations and Support teams, and communicate with external partners where relevant, to understand requirements and clarify technical questions.
  • Improve reporting, monitoring, documentation, sample code and support processes.
  • Use approved AI tools for research, coding, analysis and documentation while validating outputs, protecting confidential information and taking ownership of final work.

Qualifications

  • Currently enrolled in a school or education program working toward a bachelor's degree in Computer Science, engineering, information systems or a related technical field.
  • Obtain a bachelor's degree in Computer Science or a related technical field by June 2028.
  • Foundational understanding of programming concepts, debugging and testing, demonstrated through coursework, projects or prior experience.
  • Experience writing and debugging code in at least one programming language, such as Python, Java, JavaScript or C++.
  • Communicate technical thinking clearly, ask thoughtful clarifying questions and collaborate effectively with teammates.
  • Comfortable working with structured data in tables or CSV files and using spreadsheets to organize or review data.
  • Experience using AI tools for learning, research or technical problem-solving, validating outputs through testing or source review and handling information responsibly.

Internship Dates

  • May 17, 2027–August 6, 2027.
  • June 14, 2027–September 3, 2027.

Location and Work Arrangement

  • US-based applicants only.
  • Some interns work hybrid, within commuting distance of an office, with in-person collaboration approximately 1–2 times per week. Others work fully remotely within approved locations.
  • Available offices: Seattle, San Francisco, Los Angeles and New York.
  • Specific location and hybrid or remote work style will be confirmed during the interview and offer process.

Compensation

  • Base pay: $7,500–$9,500 monthly, equivalent to an annualized range of $90,000–$114,000, not total internship compensation.
  • Final salary depends on factors including location, travel, relevant prior experience and particular skills or expertise.

Interview and Application Expectations

  • Interviews explore foundational skills and collaboration with AI. Candidates must be able to explain their approach and thinking.
  • Application and hiring-process information must be true, accurate and complete. False statements, omissions or misrepresentations may lead to disqualification or termination after hire.
  • Medical or religious accommodation requests during the application process can be submitted through the posting's support form.