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Engineering Manager
Dognosis
Software Engineering, Other Engineering
Bengaluru, Karnataka, India
Posted on Jul 23, 2025
About Us
Dognosis is a deep-tech health startup building next-gen biosensing systems - starting with dogs. Our flagship product, BreatheEasy, uses scent-detection hardware and real-time analytics to identify disease biomarkers non-invasively. We work at the intersection of biology, hardware, and software to turn breakthrough science into practical diagnostics. Backed by early clinical collaborations, we're a fast-moving team building the future of health tech.
Job Description
At Dognosis, we’re building the future of cancer detection and canine neuroscience. Our work encompasses EEG helmets, real-time sensor fusion, and automated diagnostics, all designed to collaborate with dogs as medical partners. As our systems grow more complex, we’re facing familiar challenges: brilliant engineers working in silos, prototypes clashing with production needs, and cutting-edge ideas occasionally breaking existing systems. That’s where you come in. We’re looking for an Engineering Manager to bring structure and coordination without dampening innovation.
In this role, you’ll lead the integration of multi-modal systems - mechanical, embedded, computer vision, neuroscience, and ensure they function as a cohesive whole. You’ll help define and implement processes to move from scrappy prototypes to reliable, production-ready systems. This includes establishing stage gates, testing infrastructure, and quality benchmarks. You’ll orchestrate across functions, translate between disciplines, and guide the team toward fewer urgent fixes and more planned development.
Requirements
You’ve led multi-disciplinary hardware/software projects before, in robotics, autonomous vehicles, or scientific instrumentation. You’re comfortable with ambiguity and iteration, and you know how to get different teams speaking the same language. While you won’t be doing the hands-on technical work, you should have the depth to understand complex system dependencies and the breadth to manage across domains. You care as much about long-term system reliability as you do about getting an MVP out the door.
You don’t need to be an expert in neuroscience or dog behaviour (though curiosity is helpful), and we’re not looking for someone who has managed massive teams. But if you’ve seen a startup evolve into a functioning, reliable org, and helped build the processes that made that possible, you’ll feel right at home.