HopHR

HopHR

HopHR operates a talent matching platform that connects top-tier Data Scientists, Machine Learning Engineers, and AI specialists from Latin America with leading tech companies, streamlining the hiring process by providing pre-vetted candidates within 2...

Professional Services
11-50
Founded 2016

Description

  • Own the product backlog, prioritize work, and run day-to-day planning and Agile ceremonies.
  • Drive timebound delivery by aligning business and technical perspectives and clarifying priorities and shared outcomes.
  • Collaborate with technical leads to create user stories, acceptance criteria, and detailed product specifications.
  • Support engineering and data science teams by clarifying requirements, resolving feasibility questions, and translating user and business needs.
  • Facilitate cross-team problem solving and manage dependencies, trade-offs, and delivery alignment with adjacent solutions.
  • Conduct user research, usability testing, and competitive analysis to inform decisions and validate hypotheses.
  • Partner with designers to create UX flows, wireframes, and product designs.
  • Define, monitor, and analyze product performance metrics to identify optimization opportunities.
  • Support release management, proactive user support, and issue resolution.
  • Contribute to business cases, roadmap planning, and continuous improvement of planning and launch processes.

Requirements

  • 7+ years of experience in Product Management or Technical Product Management.
  • 5+ years of experience running day-to-day product execution with Data Science and/or Engineering teams.
  • 3+ years of experience working with SMEs to uncover nuances in ambiguous business problems and operational processes.
  • 3+ years of stakeholder management experience.
  • 3+ years of demonstrated ability to drive outcomes in a complex environment.
  • 2+ years of experience building capabilities that leverage AI, ML, or other advanced analytics.
  • Strong verbal and written communication skills (preferred).
  • Strong Excel, SQL, analytics, and storytelling capability (preferred).
  • Experience managing a product through its full lifecycle, especially from concept through launch (preferred).
  • Interest in using new AI tools and technologies to improve productivity and ways of working (preferred).

Interested in this position?

Apply directly on the company website

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