Job Description
This role is for one of the Weekdays clients
Salary range: Rs 8000000 - Rs 15000000 (ie INR 80-150 LPA)
Experience: 9+ yrs
Location: Mumbai, Maharashtra, India, Gurgaon, Haryana, India
Job Type: Full-time
We are looking for a visionary and hands-onFounding Partner – CTOto lead the technology vision, product engineering, and innovation strategy for a technology-driven venture focused onArtificial Intelligence, Embedded Systems, IoT, Digital Twins, and Robotics.
This is a senior technology leadership role for someone who can operate across strategy, architecture, product development, engineering, and business. The ideal candidate will combine deep technical expertise with entrepreneurial thinking and the ability to build technology platforms, engineering teams, and differentiated products from the ground up.
Key Responsibilities
- Define and own the overalltechnology vision, architecture, and engineering strategy.
- Lead development of AI-powered products and intelligent technology platforms.
- Design solutions combiningArtificial Intelligence, Embedded Systems, IoT, Digital Twins, and Robotics.
- Define scalable architectures spanning edge devices, embedded systems, cloud platforms, data pipelines, and AI services.
- Lead the development of connected products, intelligent devices, automation systems, and robotics solutions.
- Establish IoT architectures covering device connectivity, telemetry, edge computing, device management, and real-time data processing.
- Drive development ofDigital Twincapabilities for connected assets, processes, environments, and operational systems.
- Evaluate and implement AI/ML models for prediction, optimisation, automation, computer vision, intelligent decision-making, and autonomous systems.
- Lead technology selection, prototyping, proof-of-concepts, and transition of successful innovations into production.
- Build and scale high-performing engineering teams across software, AI, embedded, IoT, and robotics disciplines.
- Establish engineering standards covering architecture, coding, testing, security, DevOps, deployment, and observability.
- Partner with Product and Business teams to translate customer problems into technically viable and scalable solutions.
- Engage with customers, technology partners, vendors, investors, and strategic stakeholders on technical initiatives.
- Develop technology roadmaps aligned with business objectives, product milestones, and market opportunities.
- Identify opportunities for intellectual property, proprietary platforms, technology differentiation, and automation.
- Ensure technology platforms meet appropriate standards forsecurity, reliability, scalability, performance, and maintainability.
- Drive continuous R&D and stay current with emerging developments in AI, robotics, edge computing, IoT, and digital technologies.
What Makes You a Great Fit
- 9+ years of experiencein technology leadership, product engineering, AI, IoT, embedded systems, robotics, or related technology domains.
- Strong hands-on expertise inArtificial Intelligence and AI/ML technologies.
- Proven experience designing and buildingIoT and connected-device platforms.
- Strong understanding ofembedded systems, edge computing, hardware-software integration, and device communication.
- Practical experience withDigital Twin architectures, simulation, real-time data, or industrial technology platformsis highly desirable.
- Experience withrobotics, automation, computer vision, autonomous systems, or intelligent machinesis advantageous.
- Strong understanding of cloud-native architectures, APIs, distributed systems, data platforms, and scalable software engineering.
- Experience taking products fromconcept, prototype, and MVP through production and commercial deployment.
- Demonstrated ability to build and lead multidisciplinary engineering teams.
- Strong entrepreneurial mindset with the ability to operate effectively in an ambiguous, high-growth environment.
- Excellent system-design, architecture, problem-solving, and technical decision-making skills.
- Strong business understanding and ability to connect technology investments with product and commercial outcomes.
- Excellent communication and stakeholder-management skills, including the ability to engage founders, CXOs, customers, investors, and technical teams.
- Bachelors or Masters degree inComputer Science, Electronics, Electrical Engineering, Robotics, AI, or a related disciplineis preferred.