About the Role
A product/technology begins from a mind and the mind is the product of the environment it is in. The mind thinks with what it experiences in its environment. Every pleasant and unpleasant interruption, excitements, chaos, inefficiencies, surprise, and limitations of the environment find their way into the product/technology by influencing the minds that build them. An organization is a converging environment for such a wide variety of minds to come together and contribute their ideas.
Yet every organization underestimates the amount of Facilitation and Organizing that is needed to ensure a conducive environment for Ideas to happen.
As an Executive Secretary/ EA to the Founder’s Office, you will act as a force multiplier for the founder. Your role is not administrative support alone, but context management, priority orchestration, and execution enablement. You ensure that attention, time, and decisions are directed to the highest-leverage outcomes, while shielding the founder from avoidable noise and inefficiencies.
This role requires judgment, discretion, anticipation, and ownership and not just task execution.
This role is the “Lubrication between every department of this complex machinery” that ensures smooth and connected functioning of all Parts
Your primary contribution will be:
1) Founder’s Office : Supporting CynLr’s Internal and external personnel with communication, coordination, and information presentation.
Key : Maintain confidentiality, discretion, and trust in handling sensitive information.
2) Org-Wide Administration: Aiding in CynLr’s Internal Processes in office administration and other operations:
3) Company Secretarial : Assisting CynLr’s External Compliance Activities, Accounting, Auditing, Documentation & Other Office Assistance (Expertise not required, awareness about these tasks is preferred)
What Will You Do?
You will enable the founder(s) to focus on the highest-impact work by taking ownership of coordination, prioritization, and execution hygiene.
You will:
You are not expected to “do everything,” but you are expected to own what you touch end-to-end.
What Will You Need to Do This Role Well
Experience That Will Accelerate You
How will you do it?
This role is inherently non-linear and non-templated.
You will operate by:
Success in this role comes from judgment, trust, and proactive ownership, not from rigid adherence to process.
Detailed JD Here: Executive Assistant
Team Structure
The Executive Assistant operates within the Founder’s Office, which acts as a connective layer across the organization.
While the EA works closely with the founder(s), the role interfaces continuously with:
The Executive Assistant owns execution within their scope while acting as a context carrier across functions thus ensuring alignment without becoming a bottleneck.
About CynLr
Just like a baby’s brain, CynLr Visual Intelligence stack makes Robots to instinctively see & pick any object under any ambience, without any training. (a demo video link).
Today, a robot that can fit a screw into a nut without slipping a thread, doesn’t exist. Imagine what it would take for a robot to assemble a Smartphone or a car by putting together 1000s of parts with varied shapes and weights, all in random orientations. Thus, factories become complex, needing heavy customization of their environment.
CynLr-enabled visual robots intuitively learn to handle even unknown objects, on-the-fly, eliminating the need for rigid fixtures, pre-training, or environment customization. This enables an universal alternative to custom automation thus simplifying factory lines into modular LEGO-like micro-factories that can be rapidly reconfigured as products change.
At the core of CynLr lies a fundamentally new approach to machine vision. Unlike conventional vision systems that rely on image recognition and heuristics, CynLr’ s Vision and ML stacks are deeply inspired by neuroscience, modelling how biological vision understands shape, geometry, and interaction rather than appearance alone. To support this, CynLr builds its hardware, sensors, compute pipelines, and learning stacks from scratch, tightly coupling perception, decision-making, and action.
This integration allows CynLr to operate in conditions that defeat traditional automation: variable lighting, cluttered environments, unknown objects, and high precision manipulation, unlocking automation use cases that have remained unsolved for decades. By rethinking vision as an intelligent, adaptive sense rather than a static tool, CynLr is redefining how robots perceive, reason, and interact with the physical world.
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