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Flexible New Grad Product Manager Jobs (NOW HIRING)

David Joseph & Company

Engineer, New Grad

San Francisco, CA · On-site

$150 - $200/hr

You would be working directly on the core model rather than on tooling around a finished product ... Compensation at the top of the new grad market, plus meaningful equity. * Relocation support is ...

New

DCH Health System

NEW GRAD NURSES

Tuscaloosa, AL · On-site

Overview New Grad Nurses Wanted - Your First Step in Nursing Starts Here! Responsibilities Plans ... Requires use of electronic mail, time and attendance software, learning management software and ...

IXL Learning

Software Engineer, New Grad

San Mateo, CA · On-site

$110K - $135K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion for technology and education to help us build ...

Tenet Health

New Grad RN Residency

Rock Hill, SC · On-site

New Grad RN Residency (All shifts available depending on unit) Hiring for all specialties including ... management related to patient care. What qualifications you will need: No previous experience ...

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How much do flexible new grad product manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for flexible new grad product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

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Flexible New Grad Product Manager jobs near you
Infographic showing various Flexible New Grad Product Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Engineer, New Grad

San Francisco, CA • On-site

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

$150 - $200/hr

Other

Posted 3 days ago

New

Job description

San Francisco, CA · On-site · Full-time
Compensation: $150,000 - $220,000 base (total compensation up to approximately $300,000) + competitive equity

About the Company

Our client is a Series A spatial intelligence company building foundation models for the next generation of engineering design. Today's foundation models have no real spatial understanding, which keeps them out of the work that actually matters in engineering and manufacturing. Our client trains large models without that limitation, capable of reasoning about and designing physical systems. The team is small and technically dense, roughly a dozen people today and growing, with founders and early hires drawn from top industrial research labs and leading CS programs.

The Role

This is a deliberately broad engineering role for someone early in their career. You would work across machine learning, geometry, graphics, and AI, and the team is hiring for raw ability rather than domain background. No CAD or manufacturing experience is expected. What they want is real strength in one area and genuine curiosity about the rest, and a generalist who finishes hard things nobody assigned them.

What you'll be doing

  • Build and maintain geometry and data pipelines: parsing CAD, converting formats, extracting features, and verifying that what comes out matches what went in.
  • Write the evaluation harnesses and tooling that tell the team whether a model actually improved.
  • Support training and experiment runs by instrumenting them, debugging failures, and turning results into something readable at a glance.
  • Build internal tools that remove friction for the rest of the team.
  • Own well-scoped pieces of larger research and engineering efforts, and grow your scope as you earn it.

Tech stack: Python, C/C++, PyTorch, CUDA, data pipelines, computer graphics, computational geometry, Linux, Git

Requirements
  • Up to roughly two years of software engineering experience, counting internships and research.
  • Hands-on work in at least one of the following: training machine learning models, building data pipelines, or building internal tooling.
  • Internship or research experience somewhere with a genuinely high hiring bar, whether that's a leading aerospace, automotive, autonomy, or AI company, or an academic research lab affiliation.
  • A bachelor's or master's degree in computer science, engineering, mathematics, or physics from a strong, competitive program.
  • Strong practical coding ability in Python, C, or C++.
  • Comfortable working as a generalist first and specializing later, once you've found where you're strongest.
  • Able to work on-site in San Francisco five days a week.
Nice to Haves
  • Some exposure to one of these adjacent areas: CAD, robotics, perception, or graphics and game design. Coursework or personal projects are enough here, and depth is not expected.
Why Join
  • You would be working directly on the core model rather than on tooling around a finished product, at a stage where the technical direction is still being set.
  • Wide surface area across ML, geometry, graphics, pipelines, and internal tools, so you can find out what you're best at instead of being slotted into a lane on day one.
  • A small team where senior people are available whenever you ask, but you are the one steering your own work.
  • Compensation at the top of the new grad market, plus meaningful equity.
  • Relocation support is available, and the team is open to both visa transfers and new sponsorships.
Details
  • Location: San Francisco, CA
  • Work policy: 5 days per week in-office; relocation support offered
  • Compensation: $150,000 - $220,000 base + competitive equity
  • Visa sponsorship: Open to transfers (OPT, H-1B) and to new sponsorships (new H-1B, TN, O-1)
  • Employment type: Full-time
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