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Product Manager - AI

4 weeks, 2 days ago
Spain
Full-time
Senior
Product Manager
Artificial Intelligence and Machine Learning
Agile Prototyping
Apply Now
Infatica

Infatica

Infatica is a global proxy network providing residential, mobile, and datacenter proxies for professional use, offering secure web scraping services with over 10 million IP addresses in 250+ locations.

Internet Software & Services
1-10
Founded 2019
View All Jobs 13

Description

  • Own the product lifecycle from opportunity discovery and problem framing through MVP definition, launch, iteration, and scale.
  • Translate business goals and user problems into product hypotheses, scope, metrics, event tracking, user stories, and acceptance criteria.
  • Build, test, and iterate MVPs using user feedback, funnel data, cohort behavior, competitive signals, and AI-assisted research.
  • Define product vision, product strategy, success metrics, and prioritization logic for one or more product streams.
  • Set up or specify product analytics including events, funnels, cohorts, activation and retention metrics, experiment logic, and reporting needs.
  • Collaborate closely with engineering, design, marketing, sales, support, and leadership across a remote/distributed setup.
  • Manage outsourced and remote development teams while keeping scope, quality, timelines, and product decisions transparent.
  • Use AI tools for discovery synthesis, competitor monitoring, PRD drafting, analytics exploration, QA support, prototype ideation, and productivity automation.

Requirements

  • Several years of product management experience, preferably in early-stage B2C, prosumer SaaS, creator/social, analytics, martech, or intelligence products.
  • Proven experience launching MVPs or new product features from zero with hypotheses, metrics, user feedback loops, and post-launch decisions.
  • Strong product analytics skills, including event taxonomy, funnel analysis, cohorts, A/B testing, activation and retention metrics, and tracking requirements.
  • Ability to manage multiple product tracks or experiments while maintaining clarity on priorities, owners, decisions, and business impact.
  • Technical understanding of APIs, data ingestion, tracking events, AI/LLM limitations, data quality, latency, edge cases, and implementation trade-offs.
  • Experience working with remote, distributed, or outsourced engineering teams.
  • Excellent written communication skills for PRDs, decision notes, experiment summaries, and stakeholder updates.
  • High ownership and autonomy, with comfort working in ambiguity without waiting for perfect inputs.

Benefits

  • Opportunity to shape an early-stage product from the first strategic and operational layers.
  • High autonomy and direct impact on product, user value, and business outcomes.
  • Remote-friendly, international, distributed team environment.
  • Culture focused on experimentation, measurable outcomes, documentation discipline, and AI-powered productivity.
  • Exposure to both B2C and B2B product challenges as the product and portfolio evolve.

Interested in this position?

Apply directly on the company website

Apply Now

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