AI Summary
We are looking for an experienced Product Manager to own early-stage product development from discovery to launch, iteration, and scaling. The role requires a product leader who can combine customer discovery, product analytics, fast experimentation, technical understanding, and daily AI-enabled execution. The right candidate must be able to personally create product artifacts, work with data, structure hypotheses, and move from ambiguity to shipped outcomes.
Key Highlights
Own the product lifecycle from opportunity discovery to launch
Translate business goals into clear product hypotheses
Build, test, and iterate MVPs rapidly using user feedback and AI-assisted research
Key Responsibilities
Own the product lifecycle from opportunity discovery to launch
Translate business goals into clear product hypotheses
Build, test, and iterate MVPs rapidly using user feedback and AI-assisted research
Define product vision, product strategy, success metrics, and prioritization logic
Set up or specify product analytics
Manage collaboration with outsourced and remote development teams
Technical Skills Required
Benefits & Perks
Opportunity to shape an early-stage product
High autonomy and direct impact on product and business outcomes
Remote-friendly, international, distributed team environment
Job 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,
- Translate business goals and user problems into clear product hypotheses, scope, metrics, event tracking, user
- Build, test, and iterate MVPs rapidly using user feedback, funnel data, cohort behavior, competitive signals, and
- Define product vision, product strategy, success metrics, and prioritization logic for one or more product
- Set up or specify product analytics: events, funnels, cohorts, activation metrics, retention metrics, experiment
Interested in remote work opportunities in Product Management? Discover Product Management Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Work closely with engineering, design, marketing, sales, support, and leadership across a remote/distributed
- Manage collaboration with outsourced and remote development teams, keeping scope, quality, timelines, and
- Use AI tools as part of daily product operations: discovery synthesis, competitor monitoring, PRD drafting,
Requirements
- Several years in product management, preferably with early-stage B2C, prosumer SaaS, creator/social, analytics,
- Proven experience launching MVPs or new product features from zero, with clear hypotheses, metrics, user
- Strong product analytics skills: event taxonomy, funnel analysis, cohorts, A/B testing, activation/retention
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- Ability to manage several product tracks or experiments without losing clarity on priorities, owners, decisions,
- Technical understanding strong enough to discuss APIs, data ingestion, tracking events, AI/LLM limitations,
- 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
- 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
- Exposure to both B2C and B2B product challenges as the product and portfolio evolve
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