Product Lead

Prime Intellect, Inc.; San Francisco (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Medical, dental, and vision coverage

Flexible PTO

Health & wellness stipend

Job summary

Prime Intellect, Inc. is building the open superintelligence stack and a full-stack platform for frontier AI research and production.

We seek a Product Lead to define direction, align engineering with research, and deliver a cohesive developer experience across environments, evaluations, training, deployment, and sandboxes. You'll work closely with founders and technical leads, shaping priorities for frontier scale systems and tools, while staying hands-on and delivering polished, useful

Qualifications

• Built and grown a technical product used in production.
• Led teams while balancing hands-on involvement.
• Prototype and work with APIs; reason about system tradeoffs.
• Experience in developer tools, AI infrastructure, or ML platforms.
• Care about how a product feels to use and improve usability.
• Turn customer feedback into concrete, actionable steps.
• Open superintelligence and democratizing tools is a plus.

Responsibilities

• Set a focused product direction with founders and tech leads.
• Shape the connected customer experience across environments, evaluations, training, deployment, and traces.
• Work directly with customers and researchers to test ideas and turn experiments into features.
• Stay hands-on through prototypes, specs, reviews, and working sessions with engineers.
• Measure impact: time to first useful result, repeat usage, production adoption.

Skills

Product leadership

Team management

APIs & prototyping

AI infrastructure

Developer experience

User experience

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

We're looking for a Product Lead to bring clear direction and consistent execution to our product team within Engineering. You'll help turn the infrastructure behind frontier AI into a product that developers and researchers can use to build, evaluate, and improve their own models. You'll lead the team's product work, stay close to design and implementation, and work with our founders and technical leads to choose what matters most. San Francisco is our preferred location; remote is possible for the right candidate.

Responsibilities

• Set a focused product direction with the founders and technical leads. Turn customer needs and new technical capabilities into clear choices about what we build next.

• Shape the connected customer experience across our whole platform: environments, evaluations, training, deployment, and traces. Partner with the teams building Model Factory, inference, and sandboxes to make those workflows work together.

• Work directly with customers and our own researchers. Use their real workloads to find friction, test ideas, and turn useful experiments into dependable product features.

• Stay hands-on through prototypes, product specs, design reviews, and working sessions with engineers.

• Measure whether the product helps people succeed: time to a first useful result, repeat usage, production adoption, and where customers need help. Use that evidence to improve the roadmap.

Requirements

• You've built and grown a technical product that (a lot of) people use in production.

• You’ve led teams while balancing remaining hands-on, and understand when to direct execution vs. getting involved yourself.

• You have the technical depth to prototype, work with APIs, and reason through system tradeoffs with engineers. Experience in developer tools, AI infrastructure, or ML platforms is required.

• You care about how a product feels in use and strive to make each experience more simple or useful.

• Design engineering experience is a big plus: you combine bold product vision with exceptional taste and a track record of shipping polished experiences.

• You learn directly from customers, write clearly, and can turn an ambiguous problem into a concrete next step.

• You're obsessed with building open superintelligence and putting the tools and know-how to create it in the hands of ambitious people everywhere.

Particularly useful domain experience: Ownership of training, inference, multi-agent, RL, continual learning, and/or evaluations systems.

Benefits and Perks

• $200,000–$300,000 base salary plus meaningful equity

• Visa sponsorship and relocation support

• Full medical, dental, and vision (covered for employees and dependents).

• Flexible PTO.

• $200/month health & wellness benefit.

Show us a product you're proud of, what you personally built or led, and how it changed after real people started using it.