Product Designer (B2B SaaS, UX),

• KEY RESPONSIBILITIES

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• Building an expertise with a range of technology products and solutions to handle prospective customers.

• Achievement of agreed targets and managing accounts.

• Draw up strategies to counter competition.

• Should possess capabilities to handle strategic activities.

• To generate leads and meet customers through field visits and product demonstrations.

• Should be able to know & understand the customer’s business, workflow & mapping the accounts.

• Should be able to develop new accounts and further enhance the revenue through the product and vertical growth.

• Closing of orders and follow up for payments/ Collecting necessary documents.KEY REQUISITES

•

• Should have experience in B2B / Corporate Sales

• Good in negotiation and customer handling skills.

• Excellent language fluency, good communication, presentation and interpersonal skills.

• Team handling experience will be added advantage.

•

Industry: IT-Hardware / Software 

Functional Area: Sales , Business Development

Role Category:Corporate Sales

Education-

UG: Any Graduate

PG:MBA/PGDM

Responsibilities

• Lead and manage a talented Engineering Team of 8+ members.
• Provide technical guidance and mentorship to team members and assist them in their career progression. Set OKRs, progress checks and do performance evaluations.
• Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.
• Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.
• Perform Design reviews, Code reviews
• Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.

Requirements

• Masters or Bachelor's Degree in Computer Science, Engineering or equivalent.
• Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.
• Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.
• Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.

Desired Skills and Experience NET, C++, Golang, Java, JavaScript, Python, Quality Assurance, C#

Job Overview:

We are seeking an experienced and results-driven Sales Manager to lead and oversee our real estate sales team. The ideal candidate will have a strong background in real estate sales, with the ability to set strategies, manage a team, and drive sales targets. The Sales Manager will play a key role in developing and executing sales plans to achieve growth, ensure customer satisfaction, and maintain market competitiveness.

Key Responsibilities:

• Develop and execute sales strategies to achieve revenue targets.
• Identify and qualify potential clients.
• Build and maintain strong relationships with clients.
• Negotiate and close deals.
• Manage and develop a team of sales representatives.
• Prepare and deliver sales presentations.
• Analyze sales data and identify trends.
• Stay up-to-date on industry trends and best practices.

Qualifications:

• Bachelor's degree in the related field.
• 6+ years of experience in sales management.
• Strong communication, interpersonal, and negotiation skills.
• Ability to work independently and as part of a team.
• Experience with CRM software.

Responsibilities

 Provisioning and de-provisioning AWS accounts for internal customers

 Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.

 Deploying, managing, and operating AWS environments

 Identifying appropriate use of AWS operational best practices

 Estimating AWS costs and identifying operational cost control mechanisms

 Keep technical documentation up to date

 Proactively keep up to date on AWS services and developments

 Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes

 Lead certain data/service migration projects

Job Requirements

 Experience provisioning, operating, and maintaining systems running on AWS

 Experience with Azure/AWS.

 Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project

 Experience with application/data migration to/from AWS

 Experience with NGINX and the HTTP protocol.

 Experience with configuration and management software such as GIT  Strong analytical and problem-solving skills

 Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.

 Ability to work in a collaborative environment

 Detail-oriented, strong work ethic and high standard of excellence

 A fast learner, the Achiever, sets high personal goals

 Must be able to work on multiple projects and consistently meet project deadlines

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Key Responsibilities

• Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products

• Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases

• Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure

• Should be actively involved in hunting and recruiting new talent

• Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services

• Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity

• Should be the primary point of contact of functional heads for all tech dependencies

• Take ownership of overall tech budget, reviewing expenses and planning for future costs

• Work closely with CTO and Product Head on the Tech roadmap of the organisation

• Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

• 8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)

• Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead

• Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)

• Comfortable handling multiple competing priorities in a fast-paced environment.

• Well versed with cloud computing and infrastructure management AWS / GCP

• Has worked extensively on designing and implementing Microservices architecture

• Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.

• Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc

• Should be highly skilled in Python and have solid exposure to JavaScript

• Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers

• Excellent understanding of software engineering practices and Design Patterns

• A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.