Primeintellect

Primeintellect

Forward Deployed AI Strategy Lead

San Francisco

Sponsorship not specifiedDetected 14 days ago
Full-Stack DevelopmentDatabricksDatadogMachine LearningLangGraphProduct ManagementProduct StrategyProcurementResearchLeadershipCommunication

About the role

  • The most important AI products of the next decade will not be built by simply renting GPUs or calling an API.
  • They will be built by teams that can define the right 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.

Responsibilities

  • You will lead high-priority customer workstreams from first technical discovery through POC, deployment, expansion, and case study.
  • Visa sponsorship and relocation support
  • READY TO BUILD THE INTERFACE BETWEEN FRONTIER AI AND THE REAL WORLD?

Requirements

  • You might be a strong fit if you have experience in:
  • Ability to understand technical systems without needing every detail pre-digested
  • Comfort operating with executives, researchers, engineers, and operators
  • Ability to run multiple complex customer workstreams
  • Ability to make progress before the playbook exists
  • 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

Compensation

  • Competitive cash compensation and meaningful equity

Benefits

  • Competitive cash compensation and meaningful equity
  • Flexible work in San Francisco or hybrid-remote

Company info

  • 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?
  • 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.
  • Customers rarely arrive with a perfectly defined problem.

Visa & Work Authorization

  • Visa sponsorship and relocation support

This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.