Search for the perfect candidate to fill our product manager position, someone with a solid background in martech, crm, lifecycle and/or performance marketing.
our ideal candidate will have:
* 5+ years of experience in product management, specifically in areas like martech, crm, customer lifecycle and performance marketing.
* a deep understanding of marketing automation platforms, crm systems, cdps, esps, cms, attribution & analytics tools.
* hands-on experience with seo technical, seo content, sem/ppc, and campaign optimization tools (google ads, search console, tag manager, ga4, semrush, ahrefs).
* an in-depth knowledge of data architecture, pipelines, analytical models, and proficiency in sql, python, tableau/power bi, and cloud platforms (azure and gcp).
* experience with experiments and optimization techniques (a/b testing, incrementality, funnel analysis).
* advanced english skills (desired).
we're looking for someone who can lead strategic direction and roadmap development for data-driven products and artificial intelligence solutions focused on martech areas. They should be able to design and implement products and solutions that enhance automation, search engine visibility, and omnichannel journey orchestration.
the successful candidate will be responsible for:
1. direccion estratégica y roadmap: define and drive the strategy for data and ai products focused on martech areas, supporting executive decision-making and optimizing operational models.
2. análisis de datos: use sql and python along with data visualization tools (looker, power bi, sas, etc.) for data analysis and insights construction.
3. promover una cultura de toma de decisión basada en datos: obtain relevant data and perform in-depth research to support solution proposals.
4. gestionar el ciclo de vida del cliente (adquisición, activación, retención, cross-sell, winback) through personalized and omnichannel journeys.
5. optimizar presencia digital en buscadores (seo on-page/off-page, sem/ppc campaigns) aligned with acquisition and conversion strategies.
6. collaborate with stakeholders (marketing, data, tech, business) to ensure solutions meet both strategic and operational needs.
7. evaluate and manage vendors and technologies (e.g., adobe, salesforce, twilio, acoustic, dynamic yield, meta, oracle, google ads, search console, etc.), considering build vs. buy decisions.
8. define kpis and impact metrics.
9. design and implement hypothesis testing and a/b experimentation to optimize journeys, content, keywords, and paid campaigns.