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
Requirements
- 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
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.
