Author for writing a book "IoT with Raspberry Pi 3 Developer"

UI / UX Designer for Industrial IOT Product.

User-centered design principles: Deep understanding of user needs and behaviors.

Information architecture: Organizing and structuring content for optimal user experience.

Interaction design: Creating intuitive and engaging user flows and interactions.

Wireframing & Prototyping: Creating low and high-fidelity prototypes to test and iterate designs.

Analytics & data analysis: Using data to inform design decisions and measure design effectiveness.

Visual design principles: Typography, color theory, layout, and visual hierarchy.

UI design tools: Figma, Sketch, Adobe XD, etc.

Responsive design: Designing interfaces that adapt seamlessly to various screen sizes.

Accessibility standards: WCAG guidelines for creating inclusive designs.

Front-end development basics: HTML, CSS, and JavaScript for understanding technical feasibility.

Software & Tools:

Design software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, etc.

Prototyping tools: Figma, Adobe XD, InVision Studio, Axure, etc.

Collaboration tools: Jira, Confluence, Slack, etc.

Version control: Git or similar for managing design files.

Soft Skills:

Communication: Clearly articulating design decisions and presenting ideas to stakeholders.

Collaboration: Working effectively with cross-functional teams (developers, product managers, marketers).

Problem-solving: Identifying user pain points and developing creative solutions.

Critical thinking: Analyzing user data and feedback to make informed design decisions.

Mentorship: Guiding and supporting junior designers.

Time management: Handling multiple projects and meeting deadlines.

Adaptability: Staying current with design trends and emerging technologies.

Beyond the Basics:

Domain expertise: Industrial IOT is a plus

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

As a presales manager, you will work closely across various verticals such as product development, engineering, sales and marketing, and project teams/customer relations to understand internal product and service capabilities. Build marketing and sales collaterals showcasing the company’s offerings and capabilities

Role will also include understanding the customer’s needs and building suitable solutions, working closely with engineering, delivery, and sales teams.  You will also be required to actively understand customer preferences and predict future needs for product development.

Key Responsibilities:

• Engagement with the customers and understanding of their needs and putting together solutions (products and services) that are aligned with the customers’ demands. 
• Responsible for supporting the business development team in putting together compelling proposals in response to RFPs.
• Responsible for bringing in industry/vertical specific expertise into building the solution and validating technical solutions from the service delivery team.
• Coordinating with 3rd party service providers and integrating their solution components into the overall proposals.
• Plan sales strategies in response to market and competitors’

actions.

• Work in sync with the product development team and develop

sustainable and commercially viable products.

• Understand customer needs and make sales presentations.
• Liaise with the marketing team to undertake demand-generating

activities such as trade shows, exhibitions or customer workshops.

• Prepare sales proposals and train sales representatives/executives

from time to time.

• Preparation of presentations about the products or services with their value proposition articulated for the usage of the sales team.
• Creation of marketing concepts and responding to customers’ RFPs and RFI’s for our local and global sales teams.
• Use domain expertise to articulate customer requirements appropriately to product and development teams
• Prepare and deliver solution-based product presentations and

demonstrations to customers.

• Execute on customer proof of concepts (POCs).
• Strong interpersonal skills, including the ability to present to an audience from C-Level to End User, clearly articulate the value Profile products will bring to an organization, gain trusted advisor respect, and help influence, make well-executed systems presentations and clearly articulate the product’s value.

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature