Engineering Manager
Please mention DailyRemote when applying
AI Summary
Lead the development and delivery of scalable, cost-effective cloud-based AI and analytics products. Manage a cross-functional engineering team while translating business priorities into technical architecture and delivery plans.
This is a remote position.
• 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.
Additional Technical Skills
• Experience with frontend frameworks, preferably React JS and Flutter.
• Experience with AWS services such as Lambda, API Gateway, CloudFormation, Glue, Amplify, SageMaker, and related
services.
• Knowledge of backend frameworks such as Django, Flask, or Node.js.
• Familiarity with database technologies such as Redshift, MySQL, or DynamoDB.
• Understanding of RESTful API design and development.
• Experience with version control systems such as CodeCommit or similar tools.
• Knowledge of DevOps practices and tools such as Jenkins, Terraform, and related technologies.
• Familiarity with serverless architecture and services such as AWS Lambda.
• Understanding of security best practices and implementation in cloud environments.
Benefits
Compensation will be highly competitive. Depending on role and seniority, equity may also be part of the package. ESOP
options may be considered based on interview performance, role fit, ownership level, and overall seniority.
This is an opportunity to lead engineering for production-grade AI, advanced analytics, cloud-based products, enterprise
data workflows, and scalable software systems at Revmind Labs AI.
For India-based candidates, benefits may include:
• 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.
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
