15 часов назад
Field-Deployed Engineer (AI)
120 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Field-Deployed Engineer (AI): Building and deploying end-to-end AI systems for enterprise operators in Home Services, Construction, and Remodeling with an accent on customer-specific integrations, production activation, and revenue-critical workflows. Focus on embedding AI agents into Salesforce, ServiceTitan, i360, and LeadPerfection, debugging complex deployments, and translating field insights into scalable platform improvements.
Location: New York City; on-site. The role includes spending more than two weeks per month onsite with customers across North America.
Salary: $120,000–$200,000 annually, plus equity.
Company
builds AI-powered systems that automate and scale revenue for operators in Home Services, Construction, and Remodeling.
What you will do
- Work directly with operators running $100M+ businesses to understand workflows and deploy AI systems.
- Own customer interactions and collaborate with customer executives and the go-to-market team.
- Design and deliver end-to-end solutions embedding AI agents into Salesforce, ServiceTitan, i360, and LeadPerfection.
- Lead technical delivery from scoping and onboarding through production activation, stable usage, and expansion.
- Prototype quickly, integrate deeply, and ship customer-specific solutions.
- Translate field insights into platform improvements, new products, and scalable internal tools.
Requirements
- 2+ years of experience shipping products at a startup or high-velocity company.
- Fluent Python and SQL skills, with experience working with REST APIs.
- Ability to work across the stack with TypeScript, React, and Node.
- Experience testing and debugging APIs with tools such as Postman and tracing issues through logs.
- Customer-focused, proactive, comfortable operating in ambiguity, and willing to work in the field.
- Willingness to work full-time onsite in New York and travel to customer locations across North America.
Nice to have
- Experience building with LLM frameworks such as LangChain.
- Advanced degree.
- Previous founding experience or experience at a top-performing SaaS or AI company.
Culture & Benefits
- High-intensity environment with expected work weeks of 50+ hours.
- Unlimited paid time off.
- $0-cost medical coverage and 401(k) matching.
- Lunch and dinner in the office, gym membership stipend, and technology equipment.
- Clear Travel Pass, mentorship with a advisor or investor, equity, and relocation assistance.
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