Engineering Manager

About AiSensyAiSensy is a WhatsApp-based Marketing & Engagement platform helping businesses drive revenue through powerful customer engagement on WhatsApp.We’re trusted by 150,000+ businesses and work with top brands like Adani, Delhi Transport Corporation, PhysicsWallah, Yakult, Godrej, Vivo, Wipro, Asian Paints, and India Today Group. With ₹800 Crores+ in WhatsApp-driven engagement annually, our platform enables businesses to drive 25–80% of their total revenue via WhatsApp.Backed by Marsshot.vc, Bluelotus.vc, and 50+ angel investors, AiSensy is on a mission to redefine business-to-customer communication. Join us in building the future of business engagement.Role Breakdown:Process & Delivery- Implement and manage a lightweight Agile framework (Scrum/Kanban hybrid) with a consistent bi-weekly release cycle. - Facilitate backlog grooming, sprint planning, daily stand-ups, retrospectives, and capacity planning. - Clearly communicate sprint goals, maintain burn-up dashboards, and define comprehensive Definitions of Done. - Establish structures and processes that maximize speed, agility, and quality in development.Technical & Hands-On Coding- Actively participate in hands-on development with the MERN (MongoDB, Express, React, Node.js) stack; review critical PRs, write code, debug, and solve technical bottlenecks. - Lead architectural decisions emphasizing performance, scalability, security, and cost-efficiency. - Champion "docs-as-code" (Markdown, Git) for structured documentation of systems, APIs, and operational run-books.Team Scaling & Talent Development- Strategically scale the engineering team by identifying and hiring the right talent aligned with AiSensy's culture and growth trajectory. - Mentor, groom, and coach team members, ensuring continuous skill enhancement and professional growth. - Define clear hiring criteria, interview processes, and onboarding programs.Quality & Reliability- Establish CI/CD practices, automated regression testing, and robust rollback mechanisms. - Monitor and optimize engineering metrics (DORA: lead time, deployment frequency, change failure rate, MTTR). - Drive incident root-cause analyses and integrate findings into ongoing development practices.Your Profile:- 5–8 years of engineering leadership experience in high-growth startups scaling from 10 to 30+ engineers. - Extensive hands-on experience coding in JavaScript/TypeScript, Node.js, React, MongoDB. - Demonstrated success in introducing CI/CD pipelines, docs-as-code practices, automated testing, and Agile methodologies. - Proven ability to scale engineering teams effectively. - Deep understanding and proactive management of engineering KPIs (commit vs. delivered, MTTR, etc.). - Exceptional communication skills—able to clearly articulate complex technical concepts.Bonus Points for:- Familiarity with WhatsApp Business APIs, Kafka/RabbitMQ, or microservice/event-driven architectures. - Experience with cloud infrastructures like AWS, Kubernetes, and Terraform. - Contributions to tech communities through blogs, open-source projects, or speaking engagements.Success Metrics (First 180 Days):- 30 Days: Defined and visible sprint processes, alignment on release cadence. - 60 Days: Docs-as-code fully operational; 80% features documented pre-development.. - 90 Days: 95% sprint goal achievement, change-failure rate below 3%, minimal bug backlog, and structured team scaling underway.

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