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6 дней назад

Senior Technical Product Marketing Manager (Data & AI)

178 069 - 222 586$
Формат работы
hybrid
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 Technical Product Marketing Manager (Data & AI): Building technical messaging, collateral, demos, and thought leadership for a modern data infrastructure platform with an accent on data integration, cloud data platforms, governance, and AI. Focus on translating complex technical capabilities into customer value, shaping product positioning through market research, and partnering across product, sales, marketing, and enablement.

Location: Hybrid in Oakland, California, United States

Salary: $178,069–$222,586 USD annually

Company

hirify.global provides automated data movement and data infrastructure that helps organizations move, transform, govern, and use data for analytics and AI.

What you will do

  • Create technical collateral including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, case studies, and demo videos.
  • Develop clear, value-based messaging and thought leadership for technical audiences.
  • Research market trends, customer needs, competitive dynamics, and product use cases to inform positioning.
  • Partner with Product Management, GTM Product Marketing, Demand Generation, Regional Marketing, Sales, Enablement, Partner Marketing, Customer Success, and executive teams.
  • Support launches, campaigns, webinars, field events, sales plays, workshops, and hands-on labs.
  • Represent the platform as a technical expert and provide reference architectures, technical validation, and insights for sales and customer conversations.

Requirements

  • 2–4 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting.
  • Experience or knowledge in data engineering, data integration, databases, data warehouses, data lakes, and cloud data platforms.
  • Knowledge of SQL, dbt, Python, and Spark or related data technologies.
  • Experience collaborating across Product, Sales, Marketing, and Enablement teams.
  • Strong verbal, written, in-person, and virtual communication skills.
  • Strong project management skills and an understanding of data engineers, data scientists, data architects, and other technical stakeholders.

Culture & Benefits

  • Employer-paid medical insurance, with terms varying by country and worker type.
  • Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, volunteer days, and a year-end Global Week of Rest.
  • RSU stock grants and professional development and training opportunities.
  • Monthly cell phone stipend and mental health support for covered employees and dependents.
  • Virtual social events, free food, and team-building activities.

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