18 часов назад
Enterprise Deployment Strategist (AI/ML Product)
150 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Deployment Strategist (AI/ML Product) (AI agents and SaaS): Owning enterprise customer deployments from discovery and workflow design through execution, go-live, and long-term success with an accent on translating complex supply chain processes into executable AI agent workflows. Focus on configuring and testing agent solutions, coordinating technical and business stakeholders, and managing high-stakes deployments through changing requirements and ambiguity.
Location: In person in the San Francisco or New York City office, five days per week; approximately 25–30% travel is required for major customer milestones. Interviews are remote with a final in-person round.
Salary: $150,000–$240,000 per year, plus equity and benefits.
Company
builds AI agents and SaaS products that automate manual supply chain workflows, including scheduling, appointment setting, data entry, and load management.
What you will do
- Own enterprise and mid-market customer deployments from discovery and workflow design through execution, go-live, and long-term success.
- Serve as the executive point of contact and lead customer kickoffs, milestone reviews, QBRs, and executive updates.
- Translate complex business processes and operational constraints into executable AI agent workflows.
- Partner with Agent Delivery Engineers, Product, Sales, and Success to validate assumptions and execute deployments.
- Configure, test, and release agent configurations for customer use cases.
- Manage deployment plans, timelines, risks, scope changes, escalations, and stakeholder communication while improving deployment processes.
Requirements
- 6+ years of experience in customer-facing roles such as Product, Engagement, Consulting, or Founder positions.
- Strong technical acumen, including the ability to reason about workflows, APIs, and system behavior.
- Experience managing multiple concurrent, high-stakes projects in fast-moving and ambiguous environments.
- Excellent written and verbal communication skills.
- Familiarity with LLMs, APIs, JSON, SaaS, Excel, PowerPoint, and basic SQL.
- Ability to work in person from the San Francisco or New York City office five days per week and travel for major customer milestones.
Nice to have
- Technical degree in computer science, engineering, mathematics, or equivalent experience.
- Experience with AI-driven or workflow automation products.
Culture & Benefits
- Health, vision, dental, life, accidental, and short-term disability insurance.
- Take-what-you-need paid vacation and paid parental leave.
- Competitive salary, equity, 401(k) option, and yearly learning and development stipend.
- Catered lunches, monthly happy hours, annual company offsites, commuter benefits for Bay Area employees, and an Uber ride stipend for late office work.
- Remote office home stipend and an onboarding trip to the San Francisco headquarters for remote employees in eligible roles.
Hiring process
- Recruiter conversation followed by three team or hiring manager interviews.
- Three-hour final interview loop.
- Background and reference checks.
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