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Senior Product Manager, Coding

San Francisco, CA · On-site

$180 - $240/hr

FAANG or equivalent is strongly preferred. The standards and practices that matter for this data ... those companies do; you need to speak that language and assess what "good" looks like. * Small ...

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How much do internship faang companies jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for internship faang companies in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship at FAANG companies?

Internship FAANG Companies refers to internship positions offered by the major tech companies collectively known as FAANG: Facebook (now Meta), Amazon, Apple, Netflix, and Google. These internships are highly competitive and provide students or recent graduates with hands-on experience in software engineering, product management, data analysis, and other tech-related fields. Interns at FAANG companies often work on real projects, receive mentorship, and have access to valuable career development resources. Many participants use these internships as a stepping stone to full-time roles after graduation.

What skills and qualifications are needed to succeed as an intern at FAANG companies?

To thrive as an intern at FAANG companies, you generally need strong problem-solving abilities, a solid understanding of computer science fundamentals, and coursework or experience in relevant technical fields. Familiarity with programming languages like Python, Java, or C++, experience with version control systems (e.g., Git), and sometimes knowledge of cloud platforms or data structures are typically required. Excellent communication, adaptability, and teamwork skills help you navigate collaborative projects and dynamic environments. These abilities are crucial for delivering impactful results, learning quickly, and making positive contributions within high-performing teams.

How do interns at FAANG companies collaborate with full-time engineers and teams?

Interns at FAANG companies are usually integrated into existing engineering teams and work closely with full-time engineers through daily stand-ups, code reviews, and paired programming sessions. They are often assigned meaningful projects that contribute to the company's products, allowing them to participate in team meetings and receive regular feedback from mentors and managers. This structure not only helps interns quickly adapt to industry workflows but also provides ample opportunities for learning, networking, and showcasing their abilities, which can be valuable for future full-time offers.

How to get an internship at a FAANG company?

To secure an internship at a FAANG company, candidates should have strong technical skills in programming languages like Python or Java, demonstrate relevant project experience, and perform well in coding interviews that assess problem-solving and algorithms. Applying through the company's official internship portal and preparing for technical assessments are essential steps.
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Internship Faang Companies jobs near you
Infographic showing various Internship Faang Companies job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 5% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Forward Deployed Engineer

Chicago, IL • Remote

David Joseph & Company
See more jobs at David Joseph & Companyexternal

$180K - $250K/yr

Full-time

Medical

Posted 7 days ago

Job description

Remote (US) · ~40–50% travel · Full-time
Compensation: $144K–$200K base ($180K–$250K OTE) + equity

About the Company

Our client is a well-funded, growth-stage computer vision / physical-AI company whose platform is used by more than a million developers and a large share of the Fortune 100, primarily across manufacturing and industrial settings. They help the world's largest companies take vision models from proof-of-concept to real production on the factory floor.

Founded 2019 · ~70 people · Industry: AI, Software Development, Devtools

The Role

You'll take computer vision deployments from proof-of-concept to production at major manufacturing, logistics, and industrial organizations. This is a hands-on, 0-to-1 builder role for someone who thrives in ambiguous, real-world environments — embedding directly with customer teams and shipping production-grade systems that hold up outside the lab.

What you'll be doing

  • Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment.
  • Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites.
  • Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need.
  • Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits.
  • Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras

Requirements
  • Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role.
  • Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support.
  • Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux).
  • Automation, mechanical, or industrial engineers with strong software engineering skills are welcome.
  • A BS in computer science, engineering, or a related technical field.
  • Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player.
  • Able to communicate and build trust with everyone from executives to engineers to floor operators.
  • Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred.
Nice to Haves
  • Background in manufacturing, logistics, automotive, or robotics/automation.
  • Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines.
Why Join
  • Join a company with genuine traction: a platform already used at massive scale by household-name enterprises.
  • Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends.
  • Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture.
  • A career-defining field role where you own real production outcomes for major customers.
Details
  • Location: Remote (US); Midwest strongly preferred (Chicago, Indianapolis, Cleveland); NYC/SF/DC hubs
  • Work policy: Remote with ~40–50% travel for on-site customer deployments
  • Compensation: $144K–$200K base ($180K–$250K OTE) + equity
  • Visa sponsorship: Not available — US work authorization required (US citizen / Green Card)
  • Employment type: Full-time