Forward Deployed AI Strategy Lead

Prime Intellect • San Francisco, CA

6d • Hybrid

About The Position

Prime Intellect is building the infrastructure that frontier AI labs build internally, and making it available to everyone. Our platform, Lab, brings together environments, evaluations, sandboxes, verifiers, training, inference, and deployment into one full-stack system for post-training. We help customers move beyond prompting and static benchmarks toward models and agents that improve against their own tools, workflows, and feedback loops. We train open state-of-the-art models on the same stack we give customers, and we work with some of the most ambitious AI companies, enterprises, and research teams in the world. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and leading founders and executives from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, LangChain, Browserbase, Cloudflare, Sierra, Databricks, and more. We are building the open superintelligence infrastructure stack — and we need people who can bring it into the real world.

Requirements

• 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
• 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
• Ability to make progress before the playbook exists

Nice To Haves

• 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
• Ability to read traces, product docs, API docs, or technical specs and turn them into a deployment plan
• 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

Responsibilities

• Lead high-priority customer workstreams from first technical discovery through POC, deployment, expansion, and case study.
• 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.
• Help customers 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 production?
• Take messy conversations, scattered artifacts, internal docs, product goals, and technical constraints, and turn them into crisp scopes that Applied Research and Engineering can actually execute.
• Define use cases, success metrics, eval design, environment requirements, integration needs, milestones, commercial structure, risks and dependencies, and expansion path.
• Bring customer signal into the research and product roadmap, helping the team identify which evals, environments, agents, and post-training recipes matter most in the field.
• Help prioritize work that can both advance the frontier and unlock meaningful customer outcomes.
• Help build the operating system for Prime Intellect’s applied AI motion: discovery templates, customer qualification frameworks, POC structures, proposal language, pricing and packaging inputs, reference architectures, case studies, technical narratives, and deployment playbooks.
• Work with leadership to move customers through qualification, legal, scoping, proposal, procurement, POC, deployment, and expansion.
• Own senior customer relationships, create urgency, write crisp follow-ups, navigate internal and external stakeholders, and ensure important deals do not die in ambiguity.

Benefits

• Competitive cash compensation and meaningful equity
• Flexible work in San Francisco or hybrid-remote
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conference attendance
• Direct exposure to frontier AI labs, leading AI startups, and enterprise AI teams
• A rare opportunity to help define how the next generation of AI systems are trained, evaluated, and deployed

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed