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8 часов назад

Senior Customer-Facing Product Role (Enterprise AI)

Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Customer-Facing Product Role (Enterprise AI): Leading end-to-end implementation of an AI agent platform in enterprise financial-services environments with an accent on customer discovery, system integrations, and measurable operational outcomes. Focus on designing technical solutions, analyzing AI performance, supporting proof-of-concepts, and managing compliance, security, and responsible AI governance.

Location: On-site in Los Angeles, CA

Company

hirify.global develops an AI agent platform for automating customer operations in financial services environments.

What you will do

  • Lead end-to-end implementation projects embedding the AI platform into enterprise customer operations.
  • Conduct technical and business discovery to define customer objectives, requirements, and operational environments.
  • Guide customers in tailoring and optimizing AI agent capabilities for their operational challenges.
  • Analyze performance data to measure AI effectiveness, improve resolution rates, and demonstrate customer value.
  • Support pre-sales activities, including proof-of-concepts, technical due diligence, and transition to implementation.
  • Collaborate with AI, Engineering, and Sales teams to influence the product roadmap and build scalable onboarding processes.

Requirements

  • 5+ years of experience in forward-deployed, customer-facing technical roles delivering enterprise software or AI platform implementations.
  • Hands-on experience with APIs, system integrations, and technical solution design in enterprise environments.
  • Experience owning complex, multi-stakeholder technical projects from scoping through delivery.
  • Experience with enterprise requirements discovery, analytical tools, SQL, or data warehouses such as BigQuery.
  • Experience supporting pre-sales cycles through proof-of-concepts and technical due diligence.
  • Familiarity with compliance, security, risk governance, or responsible AI requirements. Visa sponsorship is not available.

Nice to have

  • Background in financial services, banking, or fintech.
  • Experience with AI/ML product management, agent-based automation, or intelligent workflow design.
  • Familiarity with responsible AI frameworks or ethical AI deployment standards.

Culture & Benefits

  • Full-time role within the Engineering department.
  • Customer-facing work at the intersection of enterprise AI deployment and financial services operations.
  • Opportunity to shape how financial institutions automate customer operations at scale.

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