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Laminar | Intern
What the posting is about
Laminar is an early-stage AI startup automating Salesforce DevOps. As an intern, you'll work directly with the team, gain real ownership, and contribute to non-technical functions like operations, go-to-market, product, and design.
Read out of the posting
LevelNot stated
Experience askedNot stated
Employmentinternship
LocationSan Francisco
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-08-31
Found viaashby, direct from their system
We saw it 19 days after it went up.
The posting, as the company wrote it
Laminar | Intern
About Laminar
Laminar (formerly SRE.ai http://SRE.ai) is an early-stage, AI-native startup on a mission to bring enterprise systems delivery without the turbulence. We build AI agents that automate Salesforce DevOps, giving organizations customized, executable workflows in place of slow, manual processes.
We're an ex-Google-led team, remote-first, with people across California, the UK, Spain, and India. Salesforce Ventures led our seed round, and we're well funded heading into our Series A. Our client roster includes McKesson, and we recently signed OpenAI.
We run flat. There's no middle management here. As an intern, you'll work directly with the people building the company, not through layers of process.
About the Role
This internship covers our non-technical functions: operations, go-to-market, product, and design. You'll be placed based on team need and your interests, and you'll get real ownership from day one, not busywork.
What You'll Need
- Currently pursuing a bachelor's or master's degree in business, marketing, design, communications, or a related field.
Nice to Have
- Prior internship or project experience in ops, marketing, sales, product, or design.
- Comfort working independently in a remote, fast-moving environment.
- Strong written communication, since most collaboration here happens async.
- Interest in early-stage startups and how they operate.
We don't expect every applicant to check every box. If the work excites you, apply anyway.
Copied from Laminar’s own board, not rewritten. Original ↗
Also open at Laminar
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