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7 дней назад

Senior Product Manager (AI)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
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 Product Manager (AI): Owning the builder experience for a product-led growth platform that uses no-code tools, AI automation, and agents to help customers improve onboarding, adoption, conversion, and retention with an accent on AI-powered funnel analysis and guidance creation. Focus on shaping product strategy, translating customer pain points into requirements and roadmaps, partnering with engineering and design, and measuring commercial product outcomes.

Location: Remote; hirify.global connects engineers from Latin America with global organizations.

Payment: USD

Company

hirify.global connects engineers from Latin America with global organizations building long-term software products. The client develops a product-led growth platform using no-code tools, AI automation, and agents to improve customer funnels.

What you will do

  • Own the product strategy and roadmap for the builder experience from discovery through delivery.
  • Speak directly with customers, identify pain points, and translate them into product requirements, proofs of concept, and roadmaps.
  • Use AI to detect friction in customer funnels and turn insights into guidance that improves conversion.
  • Partner with a dedicated pod of 3–4 engineers and shared design resources to ship and iterate on the product.
  • Define success metrics and measure the impact of released features.

Requirements

  • 5+ years of product management experience, including B2B SaaS software.
  • Professional experience with AI-embedded products and familiarity with evaluations, datasets, and AI models.
  • Technical fluency with Git, Claude Code, LLMs, and agents; able to fix basic UX issues independently.
  • Strong written and verbal communication skills, with the ability to work through ambiguity and start from a blank page.
  • Experience with traditional machine learning concepts, including training data, test data, evaluations, and selecting appropriate tools.
  • Experience with product-led growth journeys, MCPs, APIs, or SDKs.

Nice to have

  • Experience launching ambitious products that achieved distribution or commercial success.
  • Personally built or vibe-coded projects.
  • Degree in business, computer science, or a related field.
  • Creative problem-solving approach and interest in solving complex product challenges.

Culture & Benefits

  • 100% remote work and long-term projects.
  • Paid time off.
  • Work-from-home and training reimbursement.
  • English lessons and technical training.
  • Career coaching and individualized professional development support.

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