[Hiring] Product Manager - AI @Infatica.io

Role Description

We are looking for an experienced, highly autonomous Product Manager to own early-stage product development end-to-end: from discovery and validation to MVP launch, iteration, and scaling. The role is focused on an AI-powered social analytics / social intelligence product and requires a product leader who can combine customer discovery, product analytics, fast experimentation, technical understanding, and daily AI-enabled execution. This is not a coordination-only role. The right candidate must be able to personally create product artifacts, work with data, structure hypotheses, pressure-test AI-generated insights, and move from ambiguity to shipped outcomes without heavy supervision.

What You Will Own

• Own the product lifecycle from opportunity discovery, problem framing, MVP definition, launch, analytics, iteration, and scale.
• Translate business goals and user problems into clear product hypotheses, scope, metrics, event tracking, user stories, and acceptance criteria.
• Build, test, and iterate MVPs rapidly 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: events, funnels, cohorts, activation metrics, retention metrics, experiment logic, and reporting needs.
• Work closely with engineering, design, marketing, sales, support, and leadership across a remote/distributed setup.
• Manage collaboration with outsourced and remote development teams, keeping scope, quality, timelines, and product decisions transparent.
• Use AI tools as part of daily product operations: discovery synthesis, competitor monitoring, PRD drafting, analytics exploration, QA support, prototype ideation, and productivity automation.

Qualifications

• Several years in product management, preferably with early-stage B2C, prosumer SaaS, creator/social, analytics, martech, or intelligence products.
• Proven experience launching MVPs or new product features from zero, with clear hypotheses, metrics, user feedback loops, and post-launch decisions.
• Strong product analytics skills: event taxonomy, funnel analysis, cohorts, A/B testing, activation/retention metrics, and tracking requirements.
• Ability to manage several product tracks or experiments without losing clarity on priorities, owners, decisions, and business impact.
• Technical understanding strong enough to discuss 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: clear PRDs, decision notes, experiment summaries, and stakeholder updates.
• High ownership, high autonomy, and comfort working in ambiguity without waiting for perfect inputs.

Requirements

• 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.