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
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