
Posted 1 day ago
Product Strategy & Operations Manager
MadridOn-site
AI Summary
Owns product initiative tracking and experiment validation across the app portfolio, ensuring leadership has a clear, data-backed view of what is on track and what is working.
About this role
Purpose Own the tracking, analysis, and validation of product initiatives across the app portfolio. This role answers two questions for leadership on a continuous basis: are the things we planned on track, and is what we are shipping actually working?
Tareas
Portfolio initiative tracking
- Maintain a single, current view of every product initiative across the portfolio: owner, hypothesis, status, expected impact
- Surface stalls, dependencies, and blockers before they become delays
- Run the review cadence with product leadership
Experiment validation
- Independently assess whether experiment results support the conclusions drawn from them
- Check sample size, duration against metric lag, variable isolation, stopping rules, and metric selection
- Challenge weak reads directly with the owning PM
- Maintain the standard for what counts as a valid result
Analysis and recommendation
- Identify patterns across the portfolio: what is working repeatedly, what is failing repeatedly, where effort is misallocated
- Produce written recommendations leadership can act on
- Flag initiatives that should be stopped
Measurement partnership
- Work with the MMP Analytics Manager & PMs to ensure analysis rests on verified data
- Escalate measurement gaps that make initiatives unassessable
Requisitos
- Can independently judge whether an experiment result is valid: power, duration, variable isolation, stopping rules, metric selection
- Can get to an answer without an analyst intermediating, and knows when the answer is wrong: what a cohort is anchored on, why two sources disagree, when a sample is too small, when a metric lags the change
- Thinks at portfolio level, not project level
- Writes clearly enough for leadership to act without rewriting
- Comfortable being unpopular
Good to Have
- Subscription or mobile app domain knowledge (retention curves, LTV, trial mechanics) Consulting background: structure, executive presence, portfolio habits
- Prior experience inside a product organisation
- Python or equivalent beyond basic analysis
- Has built a tracking system rather than inherited one
Beneficios
What we offer
- High autonomy and real ownership
- Role based in Madrid
- Direct access to senior leadership and meaningful influence on company strategy
Skills
Cohort AnalysisExperiment ValidationLTV AnalysisMetric SelectionMMP AnalyticsPythonRetention CurvesSample Size AssessmentStatistical AnalysisStopping RulesTrial MechanicsVariable Isolation
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