• Define and evolve the architecture of critical systems, ensuring scalability, resilience, and efficiency • Lead complex technical initiatives that span multiple teams • Make technical decisions with long-term vision and business impact • Serve as a reference for design, trade-offs, and engineering quality • Influence the company’s technical direction, preventing fragmentation of solutions • Connect technology with business metrics and tangible outcomes • Unblock complex problems (technical and organizational) • Mentor senior engineers and staff, elevating the organization’s technical level • Collaborate with product, data, and stakeholders to define strategies • Promote best practices, standards, and technical consistency across teams

Become a part of Pemo's incredible team! We're bold, collaborative, and ego-free. We challenge each other positively, encourage courageous decisions, and always aim high. Excited to be part of something big? We're hiring an AI Automation Engineer - GTM. What you'll be doing - Analyze and map the complete sales workflow from lead generation to deal closure, identifying automation opportunities to accelerate pipeline velocity and improve conversion rates. - Design and build intelligent n8n workflows that automate lead scoring, enrichment, routing, follow-up sequences, and sales activity tracking across the entire sales funnel. - Deploy AI-powered tools using Exa for prospect research and market intelligence, Pinecone for semantic matching of leads to ideal customer profiles, and Hex for sales performance analytics. - Build custom Python and JavaScript solutions for CRM data enrichment, automated sales reporting, deal health scoring, and predictive pipeline analysis. - Collaborate with Sales and Revenue teams to understand the customer journey, pain points in the sales process, and opportunities to leverage automation for revenue growth. - Design data structures for sales territories, account hierarchies, opportunity stages, and activity tracking to enable comprehensive sales analytics and forecasting. - Create AI-driven solutions for lead qualification, automated outreach personalization, meeting scheduling optimization, and intelligent deal recommendations. - Integrate sales tools (CRM, email sequencing, LinkedIn automation, calendaring, proposal tools) to eliminate manual data entry and create seamless information flow. - Monitor automation performance metrics such as response rates, conversion rates, and sales cycle length, continuously optimizing workflows for maximum impact. Who we are looking for - A technically skilled engineer with 2–4+ years of experience in sales operations, marketing automation, data engineering, or revenue analytics with strong programming abilities. - Proficient in Python and JavaScript with experience building automation tools, data pipelines, and analytical dashboards. - Solid experience with workflow automation platforms, particularly n8n, or comparable tools used in sales and marketing automation. - Practical knowledge of AI/ML tools including Exa, Pinecone, Hex, or similar platforms for intelligent data processing and analysis. - Strong grasp of API integrations, webhooks, and data synchronization across sales technology stacks. - Experience working with CRM platforms (Salesforce, HubSpot, Pipedrive) and sales engagement tools (Outreach, Salesloft, Apollo) is highly desirable. - Capable of designing data models for complex sales processes, including multi-touch attribution, sales forecasting, and revenue analytics. - Analytical mindset with experience in funnel analysis, cohort analysis, and defining metrics that drive sales performance. - Strong communicator who can bridge technical and business conversations, translating sales requirements into technical specifications. - Self-motivated individual who can prioritize multiple automation initiatives and deliver results in a dynamic, goal-oriented environment. - 20% sales domain knowledge (understanding B2B sales cycles, lead qualification frameworks, revenue operations) paired with 80% engineering expertise. - Enthusiastic about using AI to transform sales efficiency and effectiveness, ideally with experience in fintech or high-growth SaaS environments. Why Pemo? Work your way with flexible hours, remote-friendly (GMT+4), and freedom to take time off when you need it. Join a global team of fintech experts, backed by $18M+ from top investors and named in Forbes ME Top 50. At Pemo, you'll innovate, grow, and help shape the future of spend management in MENA. A little more about our company At Pemo, we believe that all business owners deserve to be successful. Business owners deserve to spend their time and money doing what they do best — running their businesses. They deserve to stay in control of their finances, at any point in time, effortlessly! That's why we have built the all-in-one spend management platform that empowers MENA business owners and their teams.

• You make architectural decisions and develop features from quick prototypes to scalable services — backend, API design, and data modeling. • You orchestrate coding agents and use state-of-the-art AI development tools (Claude Code, etc.) to massively scale your output. • You work with football data from a wide range of sources, build data pipelines, and integrate AI models into our platform. • You safely bring features into production — Docker, CI/CD, cloud infrastructure (AWS, Azure, GCP) — and drive automation of processes consistently. • You ensure quality through testing and monitor production operations. • From idea to deployment you take full ownership and iterate quickly.

• Participar en el desarrollo de nuevas funcionalidades de producto, implementando tareas y soluciones técnicas bien definidas junto a perfiles más experimentados del equipo. • Colaborar en el mantenimiento y evolución de aplicaciones y servicios existentes, ayudando a mejorar la calidad, estabilidad y rendimiento del software. • Escribir código limpio, mantenible y alineado con los estándares y buenas prácticas de desarrollo establecidos por el equipo. • Participar en revisiones de código, aprendiendo de otros ingenieros e incorporando feedback de manera continua para mejorar la calidad de tus entregas. • Colaborar con otros equipos de ingeniería, producto y diseño para entender los requisitos funcionales y técnicos de cada iniciativa. • Apoyar en la resolución de incidencias y bugs, investigando causas, proponiendo correcciones y contribuyendo a prevenir problemas futuros. • Participar en tareas de testing, validación y aseguramiento de la calidad del software antes de su despliegue. • Documentar desarrollos, decisiones técnicas y aprendizajes relevantes para facilitar el trabajo colaborativo y la continuidad del conocimiento. • Adquirir autonomía progresiva en nuestro stack tecnológico y arquitectura, promoviendo al mismo tiempo la mejora continua mediante la exploración de herramientas de IA y compartiendo este conocimiento con el equipo de Ingeniería. • Utilizar herramientas de IA generativa (como Copilot, Cursor, Claude o similares) de forma habitual en tu día a día para generar y revisar código, crear tests automatizados, documentar desarrollos e investigar soluciones técnicas. • Contribuir a una cultura de equipo basada en la colaboración, el aprendizaje continuo, la responsabilidad compartida y la mejora constante.