Krunchbox is a profitable and growing SaaS company focused on revolutionizing collaboration between brands and retailers through data-driven insights. Their platform empowers suppliers by providing actionable intelligence on point-of-sale data, helping them understand what products are selling, where, and why. Serving a global clientele, including North America and Australia, Krunchbox supports enterprise customers with a modern, scalable SaaS platform that integrates AI to drive smarter and faster decision-making.
Oportunidad laboral publicada en getonbrd.com.
Responsibilities
Platform Modernization: Architect a scalable, cloud-native, API-first infrastructure to support global customers, enhancing platform reliability and extensibility.
AI Enablement: Develop the technical foundation for AI capabilities such as predictive analytics, forecasting, anomaly detection, and intelligent insights.
Team Leadership: Build, lead, and mentor an engineering team based in Mexico City, covering backend development, data engineering, QA, and DevOps functions.
Cross-Functional Partnering: Collaborate closely with Product, Customer Success, Sales, and Data teams to deliver impactful, customer-facing features.
Enterprise Readiness: Ensure high system performance, uptime, security, data privacy, and compliance with standards like SOC2 and GDPR as the platform scales.
Leadership Collaboration: Work in partnership with the Australian CTO to align global platform strategies, share best technical practices, and coordinate cross-region delivery.
What We’re Looking For
8+ years of experience in software engineering, including at least 2+ years of hands-on leadership of technical teams.
Strong expertise in SaaS platforms, especially with modern cloud-native architectures on AWS, Azure, or Google Cloud Platform.
Deep knowledge of data architecture including data pipelines, data warehouses, and scalable analytics infrastructure.
Familiarity with AI and machine learning applications in enterprise analytics, forecasting, or intelligent decision support.
Proven experience modernizing legacy systems to distributed, cloud-based platforms.
Background or exposure to retail, consumer packaged goods (CPG), or analytics-focused SaaS is desirable.
Fluent English is required; Spanish language skills are strongly preferred.
Candidate must be based in or willing to relocate to Mexico City.
Desirable Skills and Experience
Experience working directly with enterprise clients to tailor scalable SaaS solutions to complex business needs.
Exposure to compliance frameworks such as SOC2 and GDPR in software delivery.
Background in building or transforming AI-powered decision engines within SaaS environments.
Excellent interpersonal and collaborative skills reflecting a strong leadership mindset.
Working at Krunchbox
Competitive compensation package.
Comprehensive health and benefits coverage.
A predominantly in-person, collaborative work environment located in Mexico City to encourage fast iteration and real-time problem solving.
Opportunity to scale and lead a global SaaS platform that solves real-world customer challenges.
A direct, impactful role in shaping the future of AI-powered supplier-retailer collaboration.
GETONBRD Job ID: 54028
Ayuda con la reubicación
Si vives en otro país, Krunchbox te ayuda con la mudanza y trámites de visa de trabajo.
Teletrabajo opcional
Algunos días puedes trabajarlos desde tu casa.
Cobertura de salud
Krunchbox paga o copaga cobertura de salud adicional a lo legal.
Computadora
Krunchbox proporciona una computadora para tu trabajo.
Vestimenta informal
Krunchbox no exige ningún código de vestimenta.
Política de trabajo remoto
Híbrido
Se trabaja algunos días de forma remota y otros en la oficina en Ciudad de México (México).
We provide ourselves on being retail demain experts with a passion for serving our customers! Join us & help scale our technology to the next level!
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Perfil completo de Krunchbox
Global
Argentina
Chile
Colombia
Perú
Remoto
Estados Unidos
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