Jobs in the United States

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Compensation Support Specialist
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Our Mission is to equip students for success by developing and delivering highly effective digital learning through an intuitive online platform.
Added 1 min ago
Product Manager IV
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This role is responsible for driving product strategy, roadmap planning, and execution for shared platform capabilities that power enterprise digital ecosystems, ensuring consistency,…
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Fleet Reliability Engineer
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Tutor III - Pearl Cohn High (2026-2027)
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…maintain accurate and timely attendance and progress monitoring data. Tutors will provide student progress updates to families via monthly progress…
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Account Executive
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…skills to deliver compelling sales presentations fueled by data to best meet your clients’…
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Partner Development Representative
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(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
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Market Development Representative
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(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
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Partner Development Representative I
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- $23.08 to $30 USD / hour
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Added 4 mins ago
Full Stack Software Engineer
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…RAPTR®, LMI's innovative modeling, simulation, and analysis platform. RAPTR enables federal defense and national security customers to make faster, more informed decisions through advanced…
Added 4 mins ago
Commercial Bank AI Product Manager
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The AI Product Manager sets product strategy and drives the planning, prioritization, and delivery of AI and data-enabled products that advance Commercial Banking’s AI transformation…
Added 5 mins ago
Infrastructure Engineer
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…telecommunications, cybersecurity, Microsoft 365, identity, data and reporting infrastructure, and other college-wide systems. Each engineer will independently manage assigned systems and…
Added 5 mins ago
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Program Analyst
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Added 6 mins ago
Manager, Software Engineering (PLS Billing & Digital Servicing Run)
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Work Arrangement: This role follows a hybrid schedule and requires in-office presence in our Columbus OH office two days per week
Added 6 mins ago
Manager, Software Engineering Product Manager (Software Supply Chain Security)
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OH · AZ · IA
This role will work a hybrid schedule coming into the Columbus, Ohio (preferred), Des Moines, Iowa, or Scottsdale, Arizona office 2 days per week
Added 6 mins ago
Digital Technology Insight Analyst
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Data and Insight Platform Building and Management
Added 6 mins ago
Enterprise Applications Administrator
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Business Product Owner
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Added 6 mins ago
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Developer Relations Engineer
Prime Intellect
San Francisco, CA
- $150,000 to $250,000 USD / year
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale -…
Added 7 mins ago
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Payroll Analyst
IRIS
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- $45,000 to $50,200 USD / year
…You will partner with internal teams to resolve payroll or data-integration issues while owning day-to-day service for your client…
Added 7 mins ago
Group Product Manager - Omni/CRM/CX
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…commercial awareness with a deep understanding of customer data, multi-channel communication and CRM technology. Experience taking a new platform from concept through to launch and scale…
Added 8 mins ago
Lead Information Security Engineer - Red Team
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Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure,…

Prime Intellect

Developer Relations Engineer

San Francisco, CA, United States

$150,000 to $250,000 USD / year

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Job details

Pay: $150,000 to $250,000 USD / year
Posting language: English
Posted: Nov 12, 2026

Original job description

OWN YOUR INTELLIGENCE

Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.

Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.

Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators, including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.

ROLE IMPACT

You'll help developers build with Model Factory by creating documentation and practical tutorials that take them from a first training run to improving a model on their own tasks.

Working directly with our researchers and engineers, you'll turn the workflows we use at Prime into reproducible examples and help developers understand the open-source foundations of the platform, including prime-rl and Verifiers.

RESPONSIBILITIES

Own the Model Factory documentation, giving developers a clear path from their first quickstart to more advanced workflows with reliable API and SDK examples.
Build runnable tutorials that follow a model through the improvement cycle, from investigating failures in traces to designing evaluations and training with SFT or RL, with clear comparisons of results before deployment.
Work with Research and Applied Research to turn internal workflows into reproducible examples that developers can adapt to their own problems.
Partner with Engineering to publish documentation alongside new capabilities and maintain example code as the platform evolves.
Observe developers using Model Factory and work with Product and Engineering to resolve the points of confusion, whether they need a better explanation or a change to the product.
Create technical content in the format best suited to the subject, including hands-on workshops where developers can work through a training workflow with you.
Support developers building on prime-rl and Verifiers, helping them contribute useful environments and examples back to the open-source community.
Use tutorial completion and time to a first successful workflow to assess the quality of the developer experience, drawing on recurring support questions and repeat usage to prioritize improvements.

REQUIREMENTS

A public track record of useful technical work and an established, engaged following in the developer or AI community, with evidence that your content or open-source projects helped people adopt a tool or build something.
Recent hands-on software or ML engineering experience, with strong Python skills and examples of code you personally built and maintained.
Experience explaining complex technical concepts through documentation or working examples that give developers enough context to reproduce results and understand their limitations.
A working understanding of LLM training and evaluation, with the ability to learn unfamiliar post-training techniques through practical experimentation.
The ability to take a documentation or tutorial project from an initial user problem through to a tested release, incorporating feedback from the people using it.
Experience working closely with engineers or researchers to understand technical details and translate developer feedback into practical improvements.

USEFUL EXPERIENCE

Hands-on work with SFT or RL, including the design of evaluations and rewards for agent environments.
Contributions to open-source ML infrastructure or developer tools.
Maintaining documentation and example repositories alongside a changing product, including automated checks for broken examples.
Teaching technical audiences through workshops or hands-on community support.

BENEFITS AND PERKS

Competitive base salary and equity.
Full medical, dental and vision coverage for employees and dependents.
Flexible PTO.
$200/month health and wellness benefit.
Full visa sponsorship and relocation support.
Professional development budget for courses and conferences.
Quarterly team off-sites, hackathons, conferences and learning opportunities.
Company-covered meals when working from our San Francisco office.

Share links to your technical work and the audience you've built, explaining your personal contribution and the engagement or adoption it generated.

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Jobs in the United States