Forward Deployed AI Strategy Lead
AI summary of the role
Prime Intellect is hiring a Forward Deployed AI Strategy Lead to own strategic customer deployments of its full-stack post-training platform (Lab).
What you’ll do
- Own strategic customer workstreams from first technical discovery through POC, deployment, expansion, and case study
- Translate messy customer conversations and artifacts into crisp scopes for Applied Research and Engineering
- Partner with Applied Research to bring customer signal into the product roadmap and prioritize evals, environments, and post-training recipes
- Build the operating system for Prime Intellect's applied AI motion: discovery templates, POC structures, deployment playbooks, and reference architectures
What you’ll bring
- Strong intuition for AI products and workflows
- Ability to understand technical systems without needing every detail pre-digested
- Excellent written and verbal communication
- Comfort operating with executives, researchers, engineers, and operators
Technologies
RL · SFT · evals · agents · MCP · LangGraph · DSPy · Stagehand · Browserbase · post-training
About Prime Intellect
Distributed infrastructure platform orchestrating global compute and enabling researchers, startups, and enterprises to train and deploy frontier agentic AI models at scale.
Series B
Source and classification
Deployment strategy · Evidence for this classification:
the right post-training loops, and deploy models that improve on real workflows. Prime Intellect gives customers that capability. Your job is to make it real. As a Forward Deployed AI Strategy Lead, you will work directly with strategic customers to identify high-value AI workflows, translate them into evals and post-training opportunities, scope technical deployments with Applied Research, and turn early experiments into long-term revenue. You are part customer owner, part product strategist, part AI systems thinker, and part commercial operator. You will not sit between the customer and the technical team as a messenger. You will sit with both sides and help invent the answer. What You’ll Do Own Strategic Customer Deployments You will lead high-priority customer workstreams from first technical discovery through POC, deployment, expansion, and case study. You will work with
More from the job description
Forward Deployed AI Strategy Lead 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 peo [... source excerpt omitted ...] ht tasks, construct the right environments, measure the right outcomes, run the right post-training loops, and deploy models that improve on real workflows. Prime Intellect gives customers that capability. Your job is to make it real. As a Forward Deployed AI Strategy Lead, you will work directly with strategic customers to identify high-value AI workflows, translate them into evals and post-training opportunities, scope technical deployments with Applied Research, and turn early experiments into long-term revenue. You are part customer owner, part product strategist, part AI systems thinker, and part commercial operator. You will not sit between the customer and the technica [... source excerpt omitted ...] You’ll Do Own Strategic Customer Deployments You will lead high-priority customer workstreams from first technical discovery through POC, deployment, expansion, and case study. You will work with customers who are trying to build agents, automate complex workflows, improve model performance, reduce inference cost, build domain-specific evals, or run frontier-scale post-training. You will help them answer: What should we train or evaluate? What does success actually mean? What workflows are worth turning into environments? What data or traces are needed? What should be automated, supervised, or measured? Which model should be adapted? What is the path from prototype to
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