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Internship Drop Shipping Jobs (NOW HIRING)

... shipping experiments that accelerate acquisition, activation, and retention. Think: building new ... Use data, user research, and intuition to identify where technical users drop off and design ways ...

... shipping experiments that accelerate acquisition, activation, and retention. Think: building new ... Use data, user research, and intuition to identify where technical users drop off and design ways ...

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How much do internship drop shipping jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship drop shipping in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.
What cities are hiring for Internship Drop Shipping jobs? Cities with the most Internship Drop Shipping job openings:
What are the most commonly searched types of Drop Shipping jobs? The most popular types of Drop Shipping jobs are:
What states have the most Internship Drop Shipping jobs? States with the most job openings for Internship Drop Shipping jobs include:
Infographic showing various Internship Drop Shipping job openings in the United States as of May 2026, with employment types broken down into 7% Internship, 42% Full Time, 47% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.

Growth Engineer

Flux Protocol, Inc

San Francisco, CA • On-site

Full-time

Posted 2 days ago


Job description

Why Flux
Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world.
The Role
This is a rare opportunity for a technical operator who wants to own growth end-to-end. You'll work closely with product, design, and marketing, but your focus will be on building and shipping experiments that accelerate acquisition, activation, and retention. Think: building new onboarding flows, instrumenting funnels, hacking together scrappy tools, or running experiments that generate meaningful lift in weeks, not months.
What You'll Do
  • Build & ship growth experiments: Prototype and launch tools, landing pages, onboarding flows, and conversion experiments.
  • Diagnose user friction: Use data, user research, and intuition to identify where technical users drop off and design ways to keep them engaged.
  • Optimize onboarding & activation: Rework first-touch experiences so users get to "aha" moments faster - without relying on manual human support.
  • Collaborate cross-functionally: Partner with marketing on campaigns, with product on flows, and with engineering on integrations or growth features.
  • Quantify impact: Set up instrumentation, track experiment performance, and prioritize work based on data + potential impact.
  • Stay scrappy: Use whatever tool, framework, or hack gets the job done fastest - from writing code to automating workflows to tweaking website architecture.

What You'll Bring
  • Strong technical chops: comfortable coding, prototyping, and integrating tools (front-end or full-stack background a plus).
  • Proven record of delivering growth experiments with measurable results.
  • Empathy for technical users (engineers, designers, or similar). Ability to deeply understand their workflows and motivations.
  • Quantitative mindset: love for data, funnel metrics, and experimentation frameworks.
  • Entrepreneurial persistence: bias toward action, ability to hustle, iterate, and figure things out quickly.
  • Clear communicator who can explain both the "what" and the "why" behind your work.

Preferred Qualifications
  • Experience at a startup scaling from early revenue → product-market fit → growth stage.
  • Exposure to developer tools, SaaS, or products with technical users.
  • Comfort with SEO/website optimization, analytics tools, and marketing automation.
  • Portfolio of past growth hacks or projects that show your range and creativity.

Profile
Impact-oriented: You don't feel done until real people are getting real value from what you built.
Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe.
Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud.
Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions.
Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work.
Thanks for reading! Prior experience with HW or Electronics is not required - except for our Hardware internships! If the roles above don't fit you, we'd still love to have you in our network for upcoming opportunities. PS. We're always looking to meet Engineers who are interested in writing news, technical articles, or building tutorials.
To get in touch, apply here or reach out to Talent@flux.ai and tell us a little about yourself!
Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.