Solutions Engineer

We're Hiring: Solution Engineer (Contract)

Location: San Francisco, CA

Duration: 12 Months

PR: $185/hr on W2

Our client, a leading AI company, is looking for engineers-turned-educators to deliver live technical onboarding programs. If you've built software and love teaching it, this one is for you.

About the Role

You'll be a dedicated instructor for a technical onboarding program, delivering live sessions across multiple learning paths (Architect, Admin, Developer, Associate Architect, with a User path launching later). This is a delivery-focused role: you teach, run labs, and own the classroom experience while curriculum owners own the content.

What You'll Do

• Deliver live technical sessions, in person and hybrid, across assigned learning paths

• Run hands-on labs and exercises, and support learners through technical issues in the room

• Dry-run sessions with curriculum owners ahead of each cohort and iterate on delivery

• Collect and relay learner feedback and survey signal to program owners

• Support day-of cohort operations alongside the program team

• Travel to cohort sites as scheduled

Who We're Looking For

Engineer first, trainer second. We want someone who has actually built software, so the content they deliver feels real to developers.

• Background as a Software Engineer, Architect, Demo Engineer, or similar, who then moved into technical training (or vice versa)

• 2–3+ years of technical curriculum development or delivery

• Comfortable teaching API- and AI-product content to mixed technical audiences

• Strong live facilitation: you can hold a room, handle questions, and adapt pace in real time

• Former collegiate Teaching Assistants who moved into software development are a great fit

• Able to travel regularly for cohort weeks

Nice to Have

• Experience teaching or enabling GTM/sales-adjacent technical audiences

• Hands-on familiarity with LLM products

• Instructional design background

• A portfolio or videos showing you teaching, presenting, or running a class (strongly preferred)

Backgrounds We Love

• AI labs and AI startups (especially Demo Engineers)

• Developer tools and data/infra platforms

• Developer education and coding bootcamp companies

• Tech companies known for strong developer advocacy