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обновлено 3 часа назад

Sr. Manager, AI Product Owner, GTM Applications (AI)

145 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Sr. Manager, AI Product Owner (Agentic AI): Defining and driving the product vision for AI capabilities across GTM technology stacks with an accent on autonomous agents, LLM integrations, and Lead-to-Cash optimization. Focus on translating complex GTM problems into actionable AI-powered roadmaps and optimizing prompt engineering standards.

Location: Remote (USA)

Salary: $145,000 - $220,000 per year

Company

Global leader in cybersecurity providing an AI-native platform to stop breaches.

What you will do

  • Own the AI product roadmap for GTM applications, aligning with business OKRs and AI strategy.
  • Identify AI opportunities in Lead-to-Cash and Customer Success processes via workshops and executive meetings.
  • Define and prioritize backlogs for agentic workflows, including autonomous agents and LLM integrations.
  • Translate business requirements into clear epics, user stories, and acceptance criteria for engineering.
  • Define and track AI-specific KPIs such as model accuracy, business ROI, and data privacy compliance.
  • Design and champion prompt engineering standards and context-window optimization strategies.

Requirements

  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field.
  • 8+ years of product management experience, with at least 2 years in enterprise SaaS or GTM technology focused on AI.
  • Proven track record of delivering AI or automation products end-to-end.
  • Strong understanding of GTM business processes: Lead-to-Cash, CPQ, CRM, and Marketing Automation.
  • Hands-on familiarity with Agentic AI, LLMs, RAG architecture, and LLM API capabilities (e.g., OpenAI, Anthropic).
  • Must be based in the USA.

Nice to have

  • Experience with Amazon Bedrock, Salesforce Agentforce, and GCP product features.
  • Familiarity with MCP (Model Context Protocol) and agent interoperability standards.
  • Prior experience in a high-growth SaaS or cybersecurity company.

Culture & Benefits

  • Market leader in compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental/adoption leaves.
  • Professional development opportunities available for all employees regardless of level.
  • Employee Networks and a vibrant office culture with world-class amenities.

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