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9 часов назад

Technical Product Manager (AI)

136 200 - 204 200$
Формат работы
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
Technical Product Manager (Data & AI): Defining and delivering scalable data products and roadmaps for a central Data & Analytics organization with an accent on data governance, architecture, integrity, and cross-functional product leadership. Focus on integrating AI and machine learning, translating business needs into technical initiatives, and managing end-to-end delivery, risk, and compliance.

Location: Newton Office, United States

Salary: $136,200–$204,200 per year

Company

hirify.global is a Fortune 500 company with more than 90 years of experience serving customers, communities, and business partners.

What you will do

  • Define the strategy, vision, and roadmap for scalable and reliable data products.
  • Translate business needs into clear product requirements and prioritize initiatives with data, engineering, analytics, finance, and operations teams.
  • Identify analytic opportunities while balancing business impact, cost, delivery timelines, and risk.
  • Manage product documentation, stakeholder communication, product reviews, and end-to-end delivery roadmaps.
  • Drive the integration of artificial intelligence and machine learning technologies across the organization.
  • Oversee data governance, retention planning, integrity, and compliance across internal and external products.

Requirements

  • Bachelor’s degree in business, computer science, or a related quantitative field.
  • 5+ years of experience in data product management or related technology roles.
  • Experience driving product vision from roadmap conception through launch and working with software engineers, data scientists, and analysts.
  • Strong understanding of data modeling, governance, compliance, analytics, and data architecture.
  • Experience with Agile frameworks including Scrum, Kanban, and CRISP-DM.
  • Familiarity with modern data stack and infrastructure technologies such as Snowflake, dbt, Fivetran, Databricks, Kubernetes, Docker, Terraform, APIs, and databases, plus strong SQL skills.

Nice to have

  • Python or R experience.
  • Experience with machine learning products or services, including recommendation systems, reinforcement learning, advertiser bidding systems, or generative AI.

Culture & Benefits

  • Medical, dental, vision, and life insurance.
  • Wellness support.
  • 401(k) plan with company match.
  • Training, growth, and professional development opportunities.
  • Tuition reimbursement after six months of service.

Hiring process

  • Talent Acquisition reviews applications and may connect qualified candidates with the hiring manager.
  • Interviews may be conducted virtually and in person.

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