7 дней назад
Agent Strategist (AI)
200 000 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agent Strategist (AI) (Customer-Facing AI Agents): Leading end-to-end deployment of AI agents for strategic enterprise customers, from scoping and conversation design through tooling, evaluation, launch, and production iteration with an accent on enterprise strategy, technical delivery, and measurable business outcomes. Focus on building and scaling production LLM agents, managing complex cross-functional programs, advising executives, and shaping product capabilities through live customer deployments.
Location: On-site in San Francisco, CA or New York, NY
Salary: $200,000–$290,000 per year, plus equity.
Company
builds customer-facing AI agents for major enterprise brands.
What you will do
- Lead end-to-end deployment of AI agents from initial scope through conversation design, tooling, evaluation, launch, and continuous production iteration.
- Advise enterprise executives and customer teams on AI strategy, business outcomes, and long-term deployment roadmaps.
- Manage complex programs across engineering, product, procurement, compliance, business units, and senior leadership.
- Manage portfolios of agents as they scale to new use cases, geographies, and increasing technical complexity.
- Identify customer needs and feed them into product, research, and platform development.
- Manage resourcing, commercial strategy, revenue opportunities, and cost-to-serve outcomes.
Requirements
- 10+ years of relevant experience in high-stakes enterprise customer-facing roles, ideally with deep ownership of a named enterprise account.
- Strong customer relationship management, communication, strategic problem-solving, ownership, and delivery skills.
- Technical aptitude, including the ability to read API documentation, understand data models and system architecture, and evaluate engineering trade-offs.
- Experience leading a company, business unit, forward-deployed team, or comparable technical and business initiatives with financial accountability.
- Hands-on experience building or deploying AI/LLM agents in production, including evaluation frameworks, agent tooling, RAG, and prompt engineering.
- Degree in computer science, engineering, mathematics, or a related technical field, equivalent practical experience, and/or an MBA.
Culture & Benefits
- Values include trust, customer obsession, craftsmanship, intensity, and family.
- Unlimited paid time off and medical, dental, and vision benefits for employees and families.
- Life insurance, disability benefits, retirement plan, parental leave, and fertility and family-building benefits.
- Lunch, snacks, coffee, a discretionary benefit stipend, and free alphorn lessons.
- Full-time employees may participate in applicable equity plans.
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