Engineering Manager

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🕒 June 5

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RevMind srl

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💊 Pharmaceuticals

🏢 Enterprise

Artificial Intelligence • Pharmaceuticals • Enterprise

RevMind srl is an enterprise-native AI systems integrator that builds and deploys full‑stack AI solutions for commercial teams, with a particular focus on pharma and consumer packaged goods (CPG). They embed engineers inside client organizations to handle everything from data ingestion and AI/ML components to user-facing dashboards and deployment within the customer's cloud and compliance constraints. RevMind emphasizes regulated-environment readiness, pharma commercial expertise (field force effectiveness, promotional analytics, MSL productivity, market mix), and reusable accelerators to shorten time-to-production while maintaining enterprise rigor.

📋 Description

• Lead the development, delivery, and continuous refinement of modern, lean, cost-effective cloud-based products for Revmind. • Manage and guide a team of engineers working across frontend, backend, cloud, DevOps, data, and AI product development. • Work closely with data scientists, cloud engineers, AI engineers, product managers, and business stakeholders to deliver advanced analytics and AI products. • Help market and communicate the value proposition of Revmind's AI / Advanced Analytics products to both business and technical users. • Drive adoption and broaden usage of cloud-based products and platforms across customer and internal environments. • Understand key business priorities related to smart automation, AI, and advanced analytics. • Translate business needs into technical requirements, architecture decisions, delivery plans, and scalable platform capabilities. • Ensure solutions are implemented in an efficient, compliant, scalable, secure, and cost-effective manner. • Define and implement engineering standards in collaboration with stakeholders such as Data Privacy, Cyber Security, Compliance, and Product. • Lead architecture discussions for modern, scalable cloud applications and AI-enabled products. • Oversee delivery quality, engineering productivity, technical design, release execution, and production reliability. • Support cross-functional collaboration between business, product, data science, AI engineering, cloud, and software engineering teams. • Help turn product ideas, prototypes, and client requirements into production-grade software systems.

🎯 Requirements

• At least 7+ years of relevant working experience, ideally in enterprise, pharma, CPG, analytics, AI, or cloud product environments. • Team management experience in the area of cloud applications, product engineering, or solutions architecture. • Strong architectural skills to enable modern, lean, scalable cloud applications. • Experience working with and leading internal or external engineering teams to implement solutions. • Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets. • Strong experience across multiple application architectures such as React Native, Flutter, Native iOS, or modern web/mobile architectures. • Strong understanding of Information Security principles to ensure compliant handling and management of data. • High proficiency in at least one programming language such as JavaScript, Python, Scala, or Java. • Strong experience and interest in cloud platforms, preferably AWS, and its services and ecosystem. • Strong experience in traditional data warehousing and ETL tools. • Proficiency in architecting, building, and maintaining cost-efficient and scalable cloud environments. • Ability to understand business needs and create cloud-based solutions to meet those objectives. • Result-driven, analytical, and creative thinker. • Ability to work with cross-functional teams and bring business, engineering, and data science closer together. • Consultancy experience is a plus.

🏖️ Benefits

• Competitive fixed compensation(Upto 30LPA) aligned to experience, ownership level, and role scope. • ESOP options may be considered based on interview performance and overall fit. • Remote-first work setup, with practical flexibility around working hours where delivery and collaboration needs are met. • Paid time off, sick leave, and applicable Indian public holidays. • Health insurance support or medical benefits, depending on employment structure and company policy. • Learning and upskilling support for relevant engineering, cloud, AI, product, and leadership areas. • Home-office, equipment, or software support where applicable to the role. • Opportunity to work directly with founders and senior stakeholders on high-impact AI and analytics products. • Unusual growth opportunity as Revmind Labs AI scales its product, engineering culture, delivery standards, and GTM-stage trajectory. • A serious builder environment with high ownership, direct feedback, low ego teamwork, and meaningful technical problems.