Forward Deployed AI Strategy Lead
Overview
Prime Intellect is building the open superintelligence stack, providing the infrastructure and tools for AI teams to develop and deploy advanced AI solutions. We are backed by significant funding from prominent investors and industry leaders, and we are seeking individuals who can bridge the gap between cutting-edge AI research and practical applications.
About the role
You will work directly with strategic customers to identify high-value AI workflows, translate them into evaluation and post-training opportunities, and scope technical deployments with Applied Research. Your responsibilities include leading customer workstreams from initial discovery through deployment, expanding the scope of customer engagements, and ensuring successful transitions to production.
What You’ll Do
Own Strategic Customer Deployments: Lead high-priority customer workstreams from first technical discovery through POC, deployment, expansion, and case study.
Turn Ambiguity Into Scope: Take messy conversations and scattered artifacts to define clear scopes for Applied Research and Engineering.
Partner Deeply With Applied Research: Bring customer signal into the research and product roadmap, helping prioritize work that advances the frontier and unlocks meaningful outcomes.
Build the Repeatable Motion: Develop templates, frameworks, and playbooks to ensure each deployment is easier to replicate.
Drive Revenue: Work with leadership to move customers through qualification, legal, scoping, proposal, procurement, POC, deployment, and expansion processes.
What We’re Looking For
Strong technical understanding and customer empathy.
Product judgment and execution skills.
Experience in forward-deployed engineering, technical GTM, AI product strategy, solutions architecture, ML engineering, applied research, or enterprise software.
Ability to understand technical systems without needing every detail pre-digested.
Excellent written and verbal communication skills.
Comfort operating with executives, researchers, engineers, and operators.
High agency and low ego.
Ability to run multiple complex customer workstreams.
Taste for what makes a deployment valuable.
Strong commercial instincts.
Deep curiosity about post-training, agents, evals, RL, and AI infrastructure.
Experience with RL, SFT, evals, agents, MCP, LangGraph, DSPy, Stagehand, Browserbase, or tool-use workflows.
Experience working with enterprise AI teams or frontier AI companies.
Experience writing proposals, customer memos, technical scopes, or launch narratives.
Founder or early startup experience.
Strong network across AI startups, research labs, or enterprise software buyers.
Why This Role
This role offers a unique opportunity to help shape the future of AI infrastructure and systems. You will be instrumental in bridging the gap between ambitious customer workflows and the technical capabilities required to implement them. This is a high-leverage position that will allow you to contribute meaningfully to the development of open superintelligence.