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2 часа назад

Delivery Engineer II (AI)

108 500 - 146 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
Delivery Engineer II (AI): Leading customer onboarding, data health, and product analytics integrations for Mixpanel with an accent on data architecture, governance, and modern data stack implementation. Focus on building AI automations, integrating agentic workflows with customer data, and delivering complex technical projects across engineering, product, and marketing stakeholders.

Location: Remote, United States

Salary: $108,500–$146,500 USD annual total target cash compensation, including base and variable compensation.

Company

hirify.global provides a product intelligence and event-based analytics platform that helps companies understand user behavior and improve their products.

What you will do

  • Own post-sales onboarding and data health for strategic and high-value customers.
  • Consult with prospects and customers to define business goals, metrics, data architecture, and project outcomes.
  • Lead technical onboarding, hirify.global deployment optimization, data quality improvements, and data trust initiatives.
  • Deliver data architecture consultations, adoption and change management guidance, data governance, and re-implementation projects.
  • Manage complex technical projects, timelines, scope, deliverables, and unexpected issues while collaborating with customer stakeholders and partners.
  • Build AI automations and advise customers on integrating agentic workflows with hirify.global data.

Requirements

  • Experience querying, modeling, and transforming data with at least one core tool such as SQL, dbt, Python, business intelligence, or product analytics tools.
  • Familiarity with databases and cloud data warehouses, including Google Cloud, Amazon Redshift, or Microsoft Azure.
  • Knowledge of product analytics implementation methods such as SDKs, customer data platforms, event streaming, and reverse ETL.
  • Experience managing complex projects with multiple client stakeholders, scope, and timelines.
  • Experience in customer success, client-facing professional services, consulting, or technical project management.
  • Experience embedding AI into workflows, using MCP servers, building skills, and setting context for AI and data strategy.

Culture & Benefits

  • Medical, vision, and dental insurance.
  • Mental wellness benefit and generous vacation policy.
  • Additional company holidays, holiday break, enhanced parental leave, and volunteer time off.
  • US pre-tax benefits, including a 401(k).
  • Culture focused on bold decisions, insight-driven innovation, collaboration, candor, customer success, and simplicity.
  • Equity consideration is available in addition to cash compensation.

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